modern_healing

Univrs.io: Mycelia Network Architecture

“Of the people, by the people, and for the people”

🍄 The Mycelia Metaphor

Just like fungal mycelia networks that share nutrients and information across forests, Univrs.io creates an organic, decentralized communication network that:

  • Self-organizes: No central authority needed

  • Shares resources: Content, computation, reputation

  • Adapts and grows: Network strengthens with more participants

  • Resilient: Survives node failures like natural ecosystems

Core Network Architecture

1. Multi-Protocol P2P Foundation

// Hybrid networking approach for maximum reach
pub enum NetworkTransport {
    LibP2P {           // For native apps & servers
        tcp: bool,
        quic: bool,
        websocket: bool,
    },
    WebRTC {           // For browsers
        signaling_servers: Vec<String>,
        ice_servers: Vec<String>,
    },
    QUIC {             // For high-performance connections
        endpoint: String,
    },
    Mesh {             // For local networks
        mdns: bool,
        bluetooth: bool,
    }
}

Network Layers:

  • Layer 1: Physical transport (TCP, UDP, WebRTC)

  • Layer 2: P2P protocols (libp2p, QUIC, mesh networking)

  • Layer 3: Mycelia protocol (content routing, reputation sync)

  • Layer 4: Social features (posts, communities, governance)

  • Layer 5: Your dynamic-math integration (reputation, algorithms)

2. Mycelia Node Types

pub enum MyceliaNodeType {
    Spore {              // Lightweight browser client
        storage_limit: u64,
        webrtc_only: bool,
    },
    Mycelium {           // Desktop/mobile full node
        storage_capacity: u64,
        relay_capacity: u32,
        compute_power: f64,
    },
    Fruiting {           // High-capacity community hub
        bootstrap_node: bool,
        signaling_server: bool,
        storage_gb: u64,
        bandwidth_mbps: u32,
    },
    Rhizome {            // Archive/backup nodes
        permanent_storage: bool,
        historical_data: bool,
    }
}

3. Content-Addressed Ecosystem

use blake3::Hasher;
use serde::{Deserialize, Serialize};

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ContentId {
    pub hash: [u8; 32],           // Blake3 hash
    pub content_type: ContentType,
    pub size: u64,
    pub created_at: u64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ContentType {
    Post { 
        text: String,
        media_refs: Vec<ContentId>,
    },
    MathExpression {
        formula: String,              // Your dynamic-math expression
        variables: Vec<String>,
        compiled_wasm: Option<Vec<u8>>, // Pre-compiled WASM
    },
    Community {
        governance_formula: String,   // Math-based governance
        membership_criteria: String,
    },
    Reaction {
        target_id: ContentId,
        reaction_type: ReactionType,
        weight: f64,                  // Math-calculated weight
    },
    Media {
        mime_type: String,
        chunks: Vec<ContentId>,       // For large files
    }
}

impl ContentId {
    pub fn from_content(content: &[u8], content_type: ContentType) -> Self {
        let mut hasher = Hasher::new();
        hasher.update(content);
        hasher.update(&bincode::serialize(&content_type).unwrap());
        
        Self {
            hash: *hasher.finalize().as_bytes(),
            content_type,
            size: content.len() as u64,
            created_at: chrono::Utc::now().timestamp() as u64,
        }
    }
}

4. Dynamic Math Integration Hub

Your existing dynamic-math platform becomes the computational engine for social algorithms:

// Bridge between your WASM math compiler and social features
pub struct MyceliaMathEngine {
    pub math_compiler: MathCompilerPlatform,
    pub social_models: HashMap<String, CompiledModel>,
    pub community_algorithms: HashMap<String, String>,
}

impl MyceliaMathEngine {
    pub async fn setup_social_algorithms(&mut self) -> Result<(), Error> {
        // Reputation propagation (like mycorrhizal nutrient sharing)
        self.compile_social_model(
            "reputation_flow",
            "source_rep * connection_strength * trust_factor * time_decay",
            vec!["source_rep", "connection_strength", "trust_factor", "time_decay"]
        ).await?;
        
        // Content relevance (what should spread through network)
        self.compile_social_model(
            "content_virality",
            "author_rep * content_quality * topic_match * network_position * time_factor",
            vec!["author_rep", "content_quality", "topic_match", "network_position", "time_factor"]
        ).await?;
        
        // Community health (ecosystem vitality)
        self.compile_social_model(
            "community_vitality", 
            "diversity_index * engagement_rate * growth_rate * (1 - toxicity) * resource_sharing",
            vec!["diversity_index", "engagement_rate", "growth_rate", "toxicity", "resource_sharing"]
        ).await?;
        
        // Network routing efficiency
        self.compile_social_model(
            "routing_weight",
            "node_uptime * bandwidth * storage_contribution * reputation",
            vec!["node_uptime", "bandwidth", "storage_contribution", "reputation"]
        ).await?;
        
        Ok(())
    }
    
    pub async fn calculate_content_propagation(&self, content: &Content, network_state: &NetworkState) -> f64 {
        let author_rep = network_state.get_user_reputation(&content.author_id);
        let content_quality = self.analyze_content_quality(content).await;
        let topic_match = network_state.calculate_topic_relevance(&content.tags);
        let network_pos = network_state.get_network_centrality(&content.author_id);
        let time_factor = self.calculate_time_relevance(content.created_at);
        
        self.execute_model("content_virality", vec![
            author_rep, content_quality, topic_match, network_pos, time_factor
        ]).await.unwrap_or(0.0)
    }
}

Implementation Strategy

Phase 1: Core Mycelia Infrastructure (Month 1)

# Project setup
cargo new --workspace univrs-mycelia
cd univrs-mycelia

# Core networking library
cargo new --lib mycelia-core
cd mycelia-core
cargo add libp2p tokio serde bincode blake3 ed25519-dalek

Key components to build:

  1. Identity system with Ed25519 keypairs

  2. Content-addressed storage with Blake3 hashing

  3. Basic P2P messaging with libp2p

  4. Integration bridge to your dynamic-math WASM

Phase 2: Social Layer (Month 2)

// Core social primitives
pub struct MyceliaNetwork {
    pub node_id: PeerId,
    pub identity: MyceliaIdentity,
    pub content_store: ContentStore,
    pub social_graph: SocialGraph,
    pub reputation_engine: ReputationEngine,
    pub math_engine: MyceliaMathEngine,
    pub communities: CommunityManager,
}

impl MyceliaNetwork {
    pub async fn publish_content(&mut self, content_type: ContentType) -> Result<ContentId, Error> {
        // Create content with signature
        let content = Content::new(content_type, &self.identity)?;
        let content_id = content.id.clone();
        
        // Calculate propagation score using your math engine
        let propagation_score = self.math_engine
            .calculate_content_propagation(&content, &self.get_network_state())
            .await;
        
        // Store locally
        self.content_store.insert(content_id.clone(), content.clone());
        
        // Propagate to network based on math score
        self.propagate_content(content, propagation_score).await?;
        
        Ok(content_id)
    }
    
    async fn propagate_content(&mut self, content: Content, score: f64) -> Result<(), Error> {
        // Use math score to determine propagation strategy
        let target_peers = if score > 0.8 {
            self.get_high_influence_peers(10).await  // Wide broadcast
        } else if score > 0.5 {
            self.get_relevant_peers(&content.tags, 5).await  // Targeted
        } else {
            self.get_connected_peers(2).await  // Local only
        };
        
        for peer in target_peers {
            self.send_content_to_peer(peer, &content).await?;
        }
        
        Ok(())
    }
}

Phase 3: Advanced Features (Month 3)

A. WebRTC Browser Support

// Browser-compatible P2P using WebRTC
#[cfg(target_arch = "wasm32")]
pub mod browser_mycelia {
    use wasm_peers::one_to_many::NetworkManager;
    
    pub struct BrowserMyceliaNode {
        network: NetworkManager,
        content_store: LocalStorage,
        math_engine: WasmMathEngine,
    }
    
    impl BrowserMyceliaNode {
        pub async fn connect_to_network(&mut self, signaling_server: &str) -> Result<(), Error> {
            // Connect via WebRTC signaling
            // Sync with network state
            // Start content exchange
            Ok(())
        }
    }
}

B. Community Governance

pub struct CommunityGovernance {
    pub math_engine: MyceliaMathEngine,
    pub voting_formulas: HashMap<String, String>,
    pub execution_thresholds: HashMap<String, f64>,
}

impl CommunityGovernance {
    pub async fn create_math_governed_community(
        &mut self,
        name: String,
        governance_formula: String,  // Your dynamic-math expression
    ) -> Result<Community, Error> {
        // Compile governance formula
        self.math_engine.compile_social_model(
            &format!("governance_{}", name),
            &governance_formula,
            vec!["member_reputation", "stake", "time_in_community", "participation"]
        ).await?;
        
        Ok(Community {
            name,
            governance_type: GovernanceType::Mathematical {
                formula: governance_formula,
                compiled_model_id: format!("governance_{}", name),
            },
            members: vec![],
            proposals: vec![],
        })
    }
}

Phase 4: Production Deployment

Multi-Platform Release Strategy

Desktop Applications:

# Tauri-based desktop app
cargo install tauri-cli
cd univrs-desktop
npm create tauri-app
# Integrate mycelia-core library

Browser Extension:

// WebExtension with WebRTC networking
// Integrates with your WASM math compiler
// Provides P2P social features in browser

Mobile Apps:

# Flutter with Rust FFI, or
# React Native with Rust bridge

Community Nodes:

# Docker containers for easy deployment
# Raspberry Pi support for home servers
# Cloud deployment guides (ironically optional!)

Technical Advantages Over Corporate Platforms

1. Algorithmic Transparency

  • All recommendation algorithms are your math expressions

  • Communities can modify their own algorithms

  • No hidden engagement manipulation

2. True Data Ownership

  • Content stored content-addressed (immutable)

  • Users control their own data

  • No corporate surveillance

3. Censorship Resistance

  • No central servers to shut down

  • Content replicated across network

  • Cryptographic content integrity

4. Economic Justice

  • No ads or data harvesting

  • Community-controlled resources

  • Voluntary contribution model

5. Mathematical Fairness

  • Reputation systems based on your formulas

  • Transparent voting mechanisms

  • Anti-manipulation algorithms

Development Roadmap

Weeks 1-2: Foundation

  • Set up Rust workspace with libp2p

  • Implement basic P2P messaging

  • Create content-addressed storage

  • Integrate your dynamic-math platform

Weeks 3-4: Social Layer

  • Build identity and reputation systems

  • Implement content publishing/retrieval

  • Create basic community features

  • Add WebRTC browser support

Weeks 5-6: User Interface

  • Create Tauri desktop application

  • Build web interface with WASM

  • Implement content feeds

  • Add community management UI

Weeks 7-8: Advanced Features

  • Math-based governance systems

  • Content recommendation algorithms

  • Network optimization features

  • Mobile app prototypes

Weeks 9-10: Testing & Launch

  • Deploy test network with friends

  • Performance optimization

  • Documentation and tutorials

  • Public beta launch

The Vision Realized

Imagine a social network where:

  • Communities create their own algorithms using your math platform

  • Content spreads organically like nutrients in mycelia networks

  • Governance is mathematical and transparent, not corporate and opaque

  • Users own their data and relationships, not platforms

  • The network grows stronger with each participant, like a forest ecosystem

This isn’t just another social media platform - it’s a fundamental shift toward digital democracy, mathematical fairness, and true user empowerment.

Ready to build the future of social networking? 🍄🌐

// Univrs.io Mycelia Network - Core Implementation // Distributed social network with mathematical governance // “Of the people, by the people, and for the people”

use libp2p::{ gossipsub::{self, MessageAuthenticity, ValidationMode, Event as GossipsubEvent}, kad::{store::MemoryStore, Kademlia, Event as KademliaEvent}, mdns::{Event as MdnsEvent}, noise, swarm::{NetworkBehaviour, SwarmEvent, SwarmBuilder}, tcp, yamux, Multiaddr, PeerId, Swarm, identity::{Keypair, PublicKey}, }; use serde::{Deserialize, Serialize}; use std::collections::{HashMap, HashSet}; use tokio::sync::{mpsc, RwLock}; use blake3::Hasher; use ed25519_dalek::{Keypair as Ed25519Keypair, Signer, Verifier, Signature}; use std::sync::Arc; use chrono::{DateTime, Utc};

// Integration with your dynamic-math platform #[cfg(feature = “wasm”)] use wasm_bindgen::prelude::*;

#[cfg(feature = “wasm”)] #[wasm_bindgen(module = “/path/to/your/math-compiler-wasm.js”)] extern “C” { #[wasm_bindgen(js_name = MathCompilerPlatform)] type MathCompilerPlatform;

#[wasm_bindgen(constructor)]
fn new() -> MathCompilerPlatform;

#[wasm_bindgen(method, catch)]
async fn compile_model(
    this: &MathCompilerPlatform,
    id: &str,
    name: &str,
    expression: &str,
    variables: Vec<String>,
) -> Result<(), JsValue>;

#[wasm_bindgen(method, catch)]
async fn execute_model(
    this: &MathCompilerPlatform,
    id: &str,
    values: Vec<f64>,
) -> Result<f64, JsValue>;

}

// Core Mycelia Network Types #[derive(Debug, Clone, Serialize, Deserialize)] pub struct MyceliaId { pub peer_id: String, // libp2p PeerId pub public_key: [u8; 32], // Ed25519 public key pub did: String, // Decentralized identifier pub display_name: Option, pub created_at: DateTime, }

impl MyceliaId { pub fn new(keypair: &Ed25519Keypair, display_name: Option) -> Self { let public_key = keypair.public.to_bytes(); let peer_id = PeerId::from_public_key(&PublicKey::Ed25519( libp2p::identity::ed25519::PublicKey::decode(&public_key).unwrap() )).to_string(); let did = format!(“did:mycelia:{}”, hex::encode(&public_key));

    Self {
        peer_id,
        public_key,
        did,
        display_name,
        created_at: Utc::now(),
    }
}

}

#[derive(Debug, Clone, Serialize, Deserialize)] pub struct ContentId { pub hash: [u8; 32], pub content_type: String, pub size: u64, pub created_at: DateTime, }

impl ContentId { pub fn from_content(content: &[u8], content_type: &str) -> Self { let mut hasher = Hasher::new(); hasher.update(content); hasher.update(content_type.as_bytes()); let timestamp = Utc::now(); hasher.update(&timestamp.timestamp().to_be_bytes());

    Self {
        hash: *hasher.finalize().as_bytes(),
        content_type: content_type.to_string(),
        size: content.len() as u64,
        created_at: timestamp,
    }
}

pub fn to_string(&self) -> String {
    format!("mycelia:{}", hex::encode(&self.hash))
}

}

#[derive(Debug, Clone, Serialize, Deserialize)] pub struct MyceliaContent { pub id: ContentId, pub author: MyceliaId, pub content_type: MyceliaContentType, pub signature: Vec, pub reputation_score: f64, pub propagation_score: f64, pub tags: Vec, }

#[derive(Debug, Clone, Serialize, Deserialize)] pub enum MyceliaContentType { Post { text: String, media_refs: Vec, thread_parent: Option, }, MathExpression { name: String, expression: String, variables: Vec, description: Option, compiled_wasm: Option<Vec>, }, Community { name: String, description: String, governance_formula: String, membership_criteria: String, initial_moderators: Vec, }, Reaction { target_content: ContentId, reaction_type: ReactionType, weight: f64, comment: Option, }, Governance { community_id: ContentId, proposal_type: GovernanceProposal, voting_ends: DateTime, } }

#[derive(Debug, Clone, Serialize, Deserialize)] pub enum ReactionType { Upvote, Downvote, Heart, Boost, // Amplify content Flag, // Report inappropriate content Custom(String), // Community-defined reactions }

#[derive(Debug, Clone, Serialize, Deserialize)] pub enum GovernanceProposal { ModifyGovernanceFormula { new_formula: String }, AddModerator { user_id: String }, RemoveModerator { user_id: String }, ChangeCommunityRules { new_rules: Vec }, BanUser { user_id: String, reason: String }, Custom { action: String, parameters: HashMap<String, String> }, }

// Mycelia Math Engine - Integrates your dynamic-math platform pub struct MyceliaMathEngine { #[cfg(feature = “wasm”)] platform: MathCompilerPlatform, #[cfg(not(feature = “wasm”))] platform: MockMathPlatform, compiled_models: HashSet, }

impl MyceliaMathEngine { pub fn new() -> Self { Self { #[cfg(feature = “wasm”)] platform: MathCompilerPlatform::new(), #[cfg(not(feature = “wasm”))] platform: MockMathPlatform::new(), compiled_models: HashSet::new(), } }

pub async fn setup_mycelia_algorithms(&mut self) -> Result<(), String> {
    // Reputation propagation through network connections
    self.compile_social_algorithm(
        "reputation_flow",
        "Reputation Flow Through Network",
        "source_reputation * connection_strength * trust_decay * time_factor",
        vec!["source_reputation", "connection_strength", "trust_decay", "time_factor"]
    ).await?;
    
    // Content virality prediction
    self.compile_social_algorithm(
        "content_virality",
        "Content Virality Score",
        "author_reputation * content_quality * topic_relevance * network_position * freshness",
        vec!["author_reputation", "content_quality", "topic_relevance", "network_position", "freshness"]
    ).await?;
    
    // Community health metrics
    self.compile_social_algorithm(
        "community_health",
        "Community Ecosystem Health",
        "member_diversity * engagement_rate * growth_rate * (1 - toxicity_score) * resource_sharing",
        vec!["member_diversity", "engagement_rate", "growth_rate", "toxicity_score", "resource_sharing"]
    ).await?;
    
    // Network routing optimization
    self.compile_social_algorithm(
        "routing_efficiency",
        "Optimal Content Routing",
        "node_capacity * uptime_reliability * bandwidth_score * storage_contribution * reputation",
        vec!["node_capacity", "uptime_reliability", "bandwidth_score", "storage_contribution", "reputation"]
    ).await?;
    
    // Democratic governance scoring
    self.compile_social_algorithm(
        "democratic_vote",
        "Democratic Voting Weight",
        "base_vote_weight * membership_duration_factor * participation_bonus",
        vec!["base_vote_weight", "membership_duration_factor", "participation_bonus"]
    ).await?;
    
    // Reputation-weighted governance
    self.compile_social_algorithm(
        "reputation_vote",
        "Reputation-Weighted Voting",
        "sqrt(user_reputation) * community_contribution * anti_gaming_factor",
        vec!["user_reputation", "community_contribution", "anti_gaming_factor"]
    ).await?;
    
    Ok(())
}

async fn compile_social_algorithm(
    &mut self,
    id: &str,
    name: &str,
    expression: &str,
    variables: Vec<&str>,
) -> Result<(), String> {
    let variables: Vec<String> = variables.into_iter().map(|s| s.to_string()).collect();
    
    #[cfg(feature = "wasm")]
    self.platform.compile_model(id, name, expression, variables)
        .await
        .map_err(|e| format!("WASM compilation error: {:?}", e))?;
    
    #[cfg(not(feature = "wasm"))]
    self.platform.compile_model(id, name, expression, variables).await?;
    
    self.compiled_models.insert(id.to_string());
    Ok(())
}

pub async fn calculate_reputation_flow(
    &self,
    source_rep: f64,
    connection_strength: f64,
    trust_decay: f64,
    time_factor: f64,
) -> Result<f64, String> {
    self.execute_algorithm("reputation_flow", vec![source_rep, connection_strength, trust_decay, time_factor]).await
}

pub async fn calculate_content_virality(
    &self,
    author_rep: f64,
    content_quality: f64,
    topic_relevance: f64,
    network_position: f64,
    freshness: f64,
) -> Result<f64, String> {
    self.execute_algorithm("content_virality", vec![author_rep, content_quality, topic_relevance, network_position, freshness]).await
}

pub async fn calculate_community_health(
    &self,
    member_diversity: f64,
    engagement_rate: f64,
    growth_rate: f64,
    toxicity_score: f64,
    resource_sharing: f64,
) -> Result<f64, String> {
    self.execute_algorithm("community_health", vec![member_diversity, engagement_rate, growth_rate, toxicity_score, resource_sharing]).await
}

async fn execute_algorithm(&self, id: &str, values: Vec<f64>) -> Result<f64, String> {
    if !self.compiled_models.contains(id) {
        return Err(format!("Algorithm '{}' not compiled", id));
    }
    
    #[cfg(feature = "wasm")]
    return self.platform.execute_model(id, values)
        .await
        .map_err(|e| format!("WASM execution error: {:?}", e));
    
    #[cfg(not(feature = "wasm"))]
    return self.platform.execute_model(id, values).await;
}

}

// Mock implementation for non-WASM environments #[cfg(not(feature = “wasm”))] struct MockMathPlatform { models: HashMap<String, String>, }

#[cfg(not(feature = “wasm”))] impl MockMathPlatform { fn new() -> Self { Self { models: HashMap::new() } }

async fn compile_model(&mut self, id: &str, _name: &str, expression: &str, _variables: Vec<String>) -> Result<(), String> {
    self.models.insert(id.to_string(), expression.to_string());
    Ok(())
}

async fn execute_model(&self, id: &str, values: Vec<f64>) -> Result<f64, String> {
    // Simple mock calculation - replace with actual math parsing in production
    match id {
        "reputation_flow" => Ok(values[0] * values[1] * values[2] * values[3]),
        "content_virality" => Ok(values.iter().product::<f64>().powf(0.2)), // Geometric mean
        "community_health" => Ok(values[0] * values[1] * values[2] * (1.0 - values[3]) * values[4]),
        "routing_efficiency" => Ok(values.iter().sum::<f64>() / values.len() as f64),
        "democratic_vote" => Ok(values[0] * values[1] * values[2]),
        "reputation_vote" => Ok(values[0].sqrt() * values[1] * values[2]),
        _ => Err(format!("Unknown model: {}", id)),
    }
}

}

// Network behavior definition #[derive(NetworkBehaviour)] pub struct MyceliaNetworkBehaviour { pub gossipsub: gossipsub::Behaviour, pub kademlia: Kademlia, pub mdns: libp2p::mdns::tokio::Behaviour, }

// Main Mycelia Network Node pub struct MyceliaNode { pub swarm: Swarm, pub identity: MyceliaId, pub ed25519_keypair: Ed25519Keypair,

// Core data stores
pub content_store: Arc<RwLock<HashMap<ContentId, MyceliaContent>>>,
pub social_graph: Arc<RwLock<HashMap<String, Vec<String>>>>, // User -> Connections
pub reputation_scores: Arc<RwLock<HashMap<String, f64>>>,
pub communities: Arc<RwLock<HashMap<ContentId, CommunityState>>>,

// Math engine integration
pub math_engine: Arc<RwLock<MyceliaMathEngine>>,

// Event system
pub event_sender: mpsc::UnboundedSender<MyceliaEvent>,
pub event_receiver: Option<mpsc::UnboundedReceiver<MyceliaEvent>>,

}

#[derive(Debug, Clone)] pub struct CommunityState { pub metadata: MyceliaContent, // Original community creation content pub members: HashSet, pub moderators: HashSet, pub governance_formula: String, pub health_score: f64, pub last_updated: DateTime, }

#[derive(Debug, Clone)] pub enum MyceliaEvent { ContentReceived(MyceliaContent), ContentPublished(ContentId), PeerConnected(String), PeerDisconnected(String), ReputationUpdated { user_id: String, new_score: f64 }, CommunityJoined { community_id: ContentId, user_id: String }, GovernanceProposalCreated { community_id: ContentId, proposal: GovernanceProposal }, NetworkHealthUpdate { connected_peers: usize, content_items: usize }, }

impl MyceliaNode { pub async fn new(display_name: Option) -> Result<Self, Box> { // Generate cryptographic identity let ed25519_keypair = Ed25519Keypair::generate(&mut rand::thread_rng()); let identity = MyceliaId::new(&ed25519_keypair, display_name);

    // Create libp2p identity from Ed25519 keypair
    let keypair = Keypair::ed25519_from_bytes(ed25519_keypair.to_bytes())?;
    let peer_id = PeerId::from(keypair.public());
    
    // Build swarm with multiple protocols
    let transport = tcp::tokio::Transport::default()
        .upgrade(libp2p::core::upgrade::Version::V1)
        .authenticate(noise::Config::new(&keypair)?)
        .multiplex(yamux::Config::default())
        .boxed();
    
    // Configure Gossipsub for content propagation
    let gossipsub_config = gossipsub::ConfigBuilder::default()
        .heartbeat_interval(std::time::Duration::from_secs(10))
        .validation_mode(ValidationMode::Strict)
        .message_id_fn(|message| {
            use std::hash::{Hash, Hasher};
            let mut hasher = std::collections::hash_map::DefaultHasher::new();
            message.data.hash(&mut hasher);
            gossipsub::MessageId::from(hasher.finish().to_string())
        })
        .build()?;
    
    let gossipsub = gossipsub::Behaviour::new(
        MessageAuthenticity::Signed(keypair.clone()),
        gossipsub_config,
    )?;
    
    // Configure Kademlia DHT for peer discovery
    let kademlia = Kademlia::new(peer_id, MemoryStore::new(peer_id));
    
    // Configure mDNS for local discovery
    let mdns = libp2p::mdns::tokio::Behaviour::new(
        libp2p::mdns::Config::default(),
        peer_id,
    )?;
    
    // Build the network behavior
    let behaviour = MyceliaNetworkBehaviour {
        gossipsub,
        kademlia,
        mdns,
    };
    
    // Create swarm
    let swarm = SwarmBuilder::with_tokio_executor(transport, behaviour, peer_id).build();
    
    // Initialize math engine
    let mut math_engine = MyceliaMathEngine::new();
    math_engine.setup_mycelia_algorithms().await?;
    
    // Create event channel
    let (event_sender, event_receiver) = mpsc::unbounded_channel();
    
    Ok(Self {
        swarm,
        identity,
        ed25519_keypair,
        content_store: Arc::new(RwLock::new(HashMap::new())),
        social_graph: Arc::new(RwLock::new(HashMap::new())),
        reputation_scores: Arc::new(RwLock::new(HashMap::new())),
        communities: Arc::new(RwLock::new(HashMap::new())),
        math_engine: Arc::new(RwLock::new(math_engine)),
        event_sender,
        event_receiver: Some(event_receiver),
    })
}

pub async fn start_listening(&mut self, port: u16) -> Result<(), Box<dyn std::error::Error>> {
    let listen_addr = format!("/ip4/0.0.0.0/tcp/{}", port).parse()?;
    self.swarm.listen_on(listen_addr)?;
    
    // Subscribe to main topics
    let main_topic = gossipsub::IdentTopic::new("mycelia-main");
    let content_topic = gossipsub::IdentTopic::new("mycelia-content");
    let governance_topic = gossipsub::IdentTopic::new("mycelia-governance");
    
    self.swarm.behaviour_mut().gossipsub.subscribe(&main_topic)?;
    self.swarm.behaviour_mut().gossipsub.subscribe(&content_topic)?;
    self.swarm.behaviour_mut().gossipsub.subscribe(&governance_topic)?;
    
    println!("🍄 Mycelia node listening on port {}", port);
    println!("🆔 Node Identity: {}", self.identity.did);
    
    Ok(())
}

pub async fn publish_content(
    &mut self,
    content_type: MyceliaContentType,
    tags: Vec<String>,
) -> Result<ContentId, Box<dyn std::error::Error>> {
    // Serialize content for hashing and signing
    let content_data = bincode::serialize(&content_type)?;
    let content_id = ContentId::from_content(&content_data, "mycelia-content");
    
    // Calculate reputation and propagation scores
    let author_reputation = self.get_user_reputation(&self.identity.did).await;
    let propagation_score = self.calculate_content_propagation_score(&content_type, &tags).await?;
    
    // Sign the content
    let signature = self.sign_content(&content_data);
    
    // Create content object
    let content = MyceliaContent {
        id: content_id.clone(),
        author: self.identity.clone(),
        content_type,
        signature: signature.to_bytes().to_vec(),
        reputation_score: author_reputation,
        propagation_score,
        tags,
    };
    
    // Store locally
    {
        let mut store = self.content_store.write().await;
        store.insert(content_id.clone(), content.clone());
    }
    
    // Propagate to network based on score
    self.propagate_content_to_network(content.clone()).await?;
    
    // Send event
    let _ = self.event_sender.send(MyceliaEvent::ContentPublished(content_id.clone()));
    
    // Update personal reputation based on content quality
    self.update_user_reputation(&self.identity.did, propagation_score * 0.1).await;
    
    Ok(content_id)
}

async fn calculate_content_propagation_score(
    &self,
    content_type: &MyceliaContentType,
    tags: &[String],
) -> Result<f64, Box<dyn std::error::Error>> {
    let math_engine = self.math_engine.read().await;
    
    // Calculate input parameters
    let author_reputation = self.get_user_reputation(&self.identity.did).await;
    let content_quality = self.estimate_content_quality(content_type);
    let topic_relevance = self.calculate_topic_relevance(tags).await;
    let network_position = self.calculate_network_centrality(&self.identity.did).await;
    let freshness = 1.0; // New content is always fresh
    
    let score = math_engine.calculate_content_virality(
        author_reputation,
        content_quality,
        topic_relevance,
        network_position,
        freshness,
    ).await?;
    
    Ok(score.clamp(0.0, 1.0))
}

fn estimate_content_quality(&self, content_type: &MyceliaContentType) -> f64 {
    match content_type {
        MyceliaContentType::Post { text, .. } => {
            // Simple quality heuristics
            let length_score = (text.len() as f64 / 1000.0).min(1.0);
            let complexity_score = text.split_whitespace().count() as f64 / 100.0;
            (length_score + complexity_score) / 2.0
        },
        MyceliaContentType::MathExpression { expression, description, .. } => {
            // Math expressions are considered high quality
            let complexity = expression.len() as f64 / 50.0;
            let has_description = if description.is_some() { 0.3 } else { 0.0 };
            (0.7 + complexity + has_description).min(1.0)
        },
        MyceliaContentType::Community { .. } => 0.8, // Community creation is valuable
        MyceliaContentType::Reaction { .. } => 0.3,  // Reactions are lower quality
        MyceliaContentType::Governance { .. } => 0.9, // Governance is high quality
    }
}

async fn calculate_topic_relevance(&self, tags: &[String]) -> f64 {
    // Calculate relevance based on network's current topic distribution
    // For now, return a simple score based on tag count
    (tags.len() as f64 / 10.0).min(1.0)
}

async fn calculate_network_centrality(&self, user_id: &str) -> f64 {
    let social_graph = self.social_graph.read().await;
    if let Some(connections) = social_graph.get(user_id) {
        (connections.len() as f64 / 100.0).min(1.0) // Normalize to 0-1
    } else {
        0.1 // New users have low centrality
    }
}

fn sign_content(&self, content: &[u8]) -> ed25519_dalek::Signature {
    self.ed25519_keypair.sign(content)
}

async fn propagate_content_to_network(
    &mut self,
    content: MyceliaContent,
) -> Result<(), Box<dyn std::error::Error>> {
    let topic = if content.propagation_score > 0.7 {
        gossipsub::IdentTopic::new("mycelia-viral") // High-value content
    } else {
        gossipsub::IdentTopic::new("mycelia-content") // Regular content
    };
    
    // Ensure we're subscribed to the topic
    self.swarm.behaviour_mut().gossipsub.subscribe(&topic)?;
    
    // Serialize and publish
    let message = bincode::serialize(&content)?;
    self.swarm.behaviour_mut().gossipsub.publish(topic, message)?;
    
    Ok(())
}

pub async fn join_community(&mut self, community_id: ContentId) -> Result<(), Box<dyn std::error::Error>> {
    {
        let mut communities = self.communities.write().await;
        if let Some(community) = communities.get_mut(&community_id) {
            community.members.insert(self.identity.did.clone());
            community.last_updated = Utc::now();
        }
    }
    
    // Subscribe to community-specific topic
    let community_topic = gossipsub::IdentTopic::new(&format!("mycelia-community-{}", community_id.to_string()));
    self.swarm.behaviour_mut().gossipsub.subscribe(&community_topic)?;
    
    // Send event
    let _ = self.event_sender.send(MyceliaEvent::CommunityJoined {
        community_id,
        user_id: self.identity.did.clone(),
    });
    
    Ok(())
}

async fn get_user_reputation(&self, user_id: &str) -> f64 {
    let reputation_scores = self.reputation_scores.read().await;
    reputation_scores.get(user_id).copied().unwrap_or(0.5) // Default neutral reputation
}

async fn update_user_reputation(&mut self, user_id: &str, delta: f64) {
    let mut reputation_scores = self.reputation_scores.write().await;
    let current = reputation_scores.get(user_id).copied().unwrap_or(0.5);
    let new_score = (current + delta).clamp(0.0, 1.0);
    reputation_scores.insert(user_id.to_string(), new_score);
    
    // Send event
    let _ = self.event_sender.send(MyceliaEvent::ReputationUpdated {
        user_id: user_id.to_string(),
        new_score,
    });
}

pub async fn run_event_loop(&mut self) -> Result<(), Box<dyn std::error::Error>> {
    loop {
        tokio::select! {
            event = self.swarm.select_next_some() => {
                self.handle_swarm_event(event).await?;
            }
            
            Some(mycelia_event) = async {
                if let Some(ref mut receiver) = self.event_receiver {
                    receiver.recv().await
                } else {
                    None
                }
            } => {
                self.handle_mycelia_event(mycelia_event).await?;
            }
        }
    }
}

async fn handle_swarm_event(
    &mut self,
    event: SwarmEvent<MyceliaNetworkBehaviourEvent>,
) -> Result<(), Box<dyn std::error::Error>> {
    match event {
        SwarmEvent::NewListenAddr { address, .. } => {
            println!("🌐 Listening on {address}");
        }
        SwarmEvent::Behaviour(MyceliaNetworkBehaviourEvent::Gossipsub(GossipsubEvent::Message {
            message,
            ..
        })) => {
            if let Ok(content) = bincode::deserialize::<MyceliaContent>(&message.data) {
                self.handle_received_content(content).await?;
            }
        }
        SwarmEvent::Behaviour(MyceliaNetworkBehaviourEvent::Mdns(MdnsEvent::Discovered(peers))) => {
            for (peer_id, multiaddr) in peers {
                println!("🤝 Discovered peer: {peer_id} at {multiaddr}");
                self.swarm.behaviour_mut().gossipsub.add_explicit_peer(&peer_id);
                self.swarm.behaviour_mut().kademlia.add_address(&peer_id, multiaddr);
                
                let _ = self.event_sender.send(MyceliaEvent::PeerConnected(peer_id.to_string()));
            }
        }
        _ => {}
    }
    
    Ok(())
}

async fn handle_received_content(&mut self, content: MyceliaContent) -> Result<(), Box<dyn std::error::Error>> {
    // Verify content signature
    if self.verify_content_signature(&content)? {
        // Store content
        {
            let mut store = self.content_store.write().await;
            store.insert(content.id.clone(), content.clone());
        }
        
        // Update author reputation based on content reception
        let reputation_delta = content.propagation_score * 0.05;
        self.update_user_reputation(&content.author.did, reputation_delta).await;
        
        // Send event
        let _ = self.event_sender.send(MyceliaEvent::ContentReceived(content));
    }
    
    Ok(())
}

fn verify_content_signature(&self, content: &MyceliaContent) -> Result<bool, Box<dyn std::error::Error>> {
    // Reconstruct the signed data
    let content_data = bincode::serialize(&content.content_type)?;
    
    // Verify signature using author's public key
    let public_key = ed25519_dalek::PublicKey::from_bytes(&content.author.public_key)?;
    let signature = ed25519_dalek::Signature::from_bytes(&content.signature)?;
    
    Ok(public_key.verify_strict(&content_data, &signature).is_ok())
}

async fn handle_mycelia_event(&mut self, event: MyceliaEvent) -> Result<(), Box<dyn std::error::Error>> {
    match event {
        MyceliaEvent::ContentReceived(content) => {
            println!("📨 Received content: {} from {}", content.id.to_string(), content.author.display_name.unwrap_or("Anonymous".to_string()));
        }
        MyceliaEvent::PeerConnected(peer_id) => {
            println!("👋 New peer connected: {}", peer_id);
        }
        MyceliaEvent::ReputationUpdated { user_id, new_score } => {
            println!("⭐ Reputation updated for {}: {:.3}", user_id, new_score);
        }
        _ => {}
    }
    
    Ok(())
}

}

// Example usage and testing #[cfg(test)] mod tests { use super::*;

#[tokio::test]
async fn test_mycelia_node_creation() {
    let node = MyceliaNode::new(Some("Test Node".to_string())).await.unwrap();
    assert!(node.identity.did.starts_with("did:mycelia:"));
    assert_eq!(node.identity.display_name, Some("Test Node".to_string()));
}

#[tokio::test]
async fn test_content_creation() {
    let mut node = MyceliaNode::new(None).await.unwrap();
    
    let content_type = MyceliaContentType::Post {
        text: "Hello, Mycelia Network!".to_string(),
        media_refs: vec![],
        thread_parent: None,
    };
    
    let content_id = node.publish_content(content_type, vec!["test".to_string()]).await.unwrap();
    
    let store = node.content_store.read().await;
    assert!(store.contains_key(&content_id));
}

#[tokio::test]
async fn test_math_expression_content() {
    let mut node = MyceliaNode::new(None).await.unwrap();
    
    let math_content = MyceliaContentType::MathExpression {
        name: "Reputation Flow".to_string(),
        expression: "source_rep * connection_strength * 0.9".to_string(),
        variables: vec!["source_rep".to_string(), "connection_strength".to_string()],
        description: Some("Calculate reputation propagation".to_string()),
        compiled_wasm: None,
    };
    
    let content_id = node.publish_content(math_content, vec!["math".to_string(), "reputation".to_string()]).await.unwrap();
    
    let store = node.content_store.read().await;
    let stored_content = store.get(&content_id).unwrap();
    assert!(stored_content.propagation_score > 0.5); // Math content should have high propagation score
}

}

// Main entry point for the Mycelia node #[tokio::main] async fn main() -> Result<(), Box> { env_logger::init();

println!("🍄 Starting Univrs.io Mycelia Network Node");
println!("   'Of the people, by the people, and for the people!'");

// Create node with display name
let mut node = MyceliaNode::new(Some("Mycelia Pioneer".to_string())).await?;

// Start listening on port 0 (random available port)
node.start_listening(0).await?;

// Example: Publish some initial content
tokio::spawn({
    let sender = node.event_sender.clone();
    let node_id = node.identity.did.clone();
    
    async move {
        tokio::time::sleep(tokio::time::Duration::from_secs(2)).await;
        
        println!("🌱 Publishing initial content to bootstrap network...");
        
        // Note: This would be handled through the main node instance in practice
        // This is just for demonstration
    }
});

println!("🌐 Node running! Press Ctrl+C to stop.");

// Run the main event loop
node.run_event_loop().await?;

Ok(())

}

🍄 Univrs.io Mycelia Network - Complete Setup Guide

“Building the Internet’s Mycorrhizal Layer”

Just as mycorrhizal networks connect forest roots to share nutrients and information, we’re building the infrastructure for human connection and knowledge sharing - free from corporate control.

🚀 Quick Start (30 Minutes to Network)

Prerequisites

# Install Rust (latest stable)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source ~/.cargo/env
rustc --version  # Should be 1.70+

# Install development tools
cargo install wasm-pack
cargo install tauri-cli --version "^1.0"

# Optional: For desktop app development
npm install -g @tauri-apps/cli

Project Structure Setup

# Create the Mycelia workspace
mkdir univrs-mycelia && cd univrs-mycelia

# Initialize workspace
cat > Cargo.toml << 'EOF'
[workspace]
members = [
    "mycelia-core",
    "mycelia-node", 
    "mycelia-desktop",
    "mycelia-web"
]
resolver = "2"

[workspace.dependencies]
libp2p = "0.53"
tokio = { version = "1.0", features = ["full"] }
serde = { version = "1.0", features = ["derive"] }
bincode = "1.3"
ed25519-dalek = "2.0"
blake3 = "1.5"
uuid = { version = "1.0", features = ["v4"] }
chrono = { version = "0.4", features = ["serde"] }
rand = "0.8"
hex = "0.4"
env_logger = "0.10"
wasm-bindgen = "0.2"
EOF

# Create core library
cargo new --lib mycelia-core
cargo new --bin mycelia-node

📦 Core Library Setup

mycelia-core/Cargo.toml

[package]
name = "mycelia-core"
version = "0.1.0"
edition = "2021"
description = "Core library for Univrs.io Mycelia Network"
authors = ["Your Name <[email protected]>"]
license = "MIT OR Apache-2.0"

[dependencies]
# Networking
libp2p = { workspace = true, features = [
    "tcp", "noise", "yamux", "gossipsub", "mdns", "kad", "request-response"
] }
tokio = { workspace = true }

# Serialization & Crypto
serde = { workspace = true }
bincode = { workspace = true }
ed25519-dalek = { workspace = true }
blake3 = { workspace = true }
uuid = { workspace = true }
chrono = { workspace = true }
rand = { workspace = true }
hex = { workspace = true }

# Optional WASM support
wasm-bindgen = { workspace = true, optional = true }
wasm-bindgen-futures = { version = "0.4", optional = true }
js-sys = { version = "0.3", optional = true }

# Logging
env_logger = { workspace = true }
log = "0.4"

[features]
default = []
wasm = ["wasm-bindgen", "wasm-bindgen-futures", "js-sys"]
desktop = []

# For math integration with your dynamic-math platform
[dependencies.web-sys]
version = "0.3"
optional = true
features = [
  "console",
  "Document",
  "Element",
  "HtmlElement",
  "Window",
]

🧮 Integration with Your Dynamic-Math Platform

Create Math Integration Module

# In mycelia-core/src/
mkdir math_integration && cd math_integration

mycelia-core/src/math_integration/mod.rs

//! Integration with your dynamic-math WASM platform
//! This bridges Mycelia social features with mathematical computation

use wasm_bindgen::prelude::*;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;

#[cfg(feature = "wasm")]
#[wasm_bindgen(module = "/pkg/math_compiler_wasm.js")]
extern "C" {
    // Import your existing dynamic-math platform
    #[wasm_bindgen(js_name = MathCompilerPlatform)]
    type MathCompilerPlatform;
    
    #[wasm_bindgen(constructor)]
    fn new() -> MathCompilerPlatform;
    
    #[wasm_bindgen(method)]
    fn validate_expression(this: &MathCompilerPlatform, expr: &str) -> bool;
    
    #[wasm_bindgen(method, catch)]
    async fn compile_model(
        this: &MathCompilerPlatform,
        id: &str,
        name: &str,
        expression: &str,
        variables: Vec<String>,
    ) -> Result<(), JsValue>;
    
    #[wasm_bindgen(method, catch)]
    async fn execute_model(
        this: &MathCompilerPlatform,
        id: &str,
        values: Vec<f64>,
    ) -> Result<f64, JsValue>;
    
    #[wasm_bindgen(method)]
    fn list_models(this: &MathCompilerPlatform) -> Vec<String>;
}

/// Social algorithms powered by your dynamic-math engine
pub struct SocialMathEngine {
    #[cfg(feature = "wasm")]
    platform: MathCompilerPlatform,
    compiled_algorithms: HashMap<String, AlgorithmMetadata>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlgorithmMetadata {
    pub name: String,
    pub description: String,
    pub variables: Vec<String>,
    pub category: AlgorithmCategory,
    pub created_at: chrono::DateTime<chrono::Utc>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AlgorithmCategory {
    Reputation,
    ContentRanking,
    CommunityHealth,
    NetworkTopology,
    Governance,
    Custom(String),
}

impl SocialMathEngine {
    #[cfg(feature = "wasm")]
    pub fn new() -> Self {
        Self {
            platform: MathCompilerPlatform::new(),
            compiled_algorithms: HashMap::new(),
        }
    }
    
    #[cfg(not(feature = "wasm"))]
    pub fn new() -> Self {
        Self {
            compiled_algorithms: HashMap::new(),
        }
    }
    
    /// Initialize the standard social algorithms
    pub async fn setup_social_algorithms(&mut self) -> Result<(), String> {
        // Reputation Flow: How reputation spreads through connections
        self.compile_algorithm(
            "reputation_flow",
            "Reputation Propagation",
            "source_reputation * sqrt(connection_strength) * trust_factor * exp(-time_decay)",
            vec!["source_reputation", "connection_strength", "trust_factor", "time_decay"],
            AlgorithmCategory::Reputation
        ).await?;
        
        // Content Virality: Predict how far content will spread
        self.compile_algorithm(
            "content_virality",
            "Content Spread Prediction",
            "log(author_reputation + 1) * content_quality * topic_relevance * network_centrality * freshness_factor",
            vec!["author_reputation", "content_quality", "topic_relevance", "network_centrality", "freshness_factor"],
            AlgorithmCategory::ContentRanking
        ).await?;
        
        // Community Vitality: Health score for communities
        self.compile_algorithm(
            "community_vitality",
            "Community Health Score",
            "member_diversity * log(active_members + 1) * engagement_rate * (1 - toxicity_score) * resource_sharing_index",
            vec!["member_diversity", "active_members", "engagement_rate", "toxicity_score", "resource_sharing_index"],
            AlgorithmCategory::CommunityHealth
        ).await?;
        
        // Democratic Governance: Equal participation with anti-spam
        self.compile_algorithm(
            "democratic_governance",
            "Democratic Voting Weight",
            "base_weight * min(sqrt(membership_duration_days), 10) * activity_factor * (1 - spam_likelihood)",
            vec!["base_weight", "membership_duration_days", "activity_factor", "spam_likelihood"],
            AlgorithmCategory::Governance
        ).await?;
        
        // Meritocratic Governance: Reputation-weighted with fairness constraints
        self.compile_algorithm(
            "merit_governance",
            "Merit-Based Voting",
            "sqrt(reputation_score) * expertise_in_topic * contribution_history * fairness_adjustment",
            vec!["reputation_score", "expertise_in_topic", "contribution_history", "fairness_adjustment"],
            AlgorithmCategory::Governance
        ).await?;
        
        // Network Routing: Optimize content paths
        self.compile_algorithm(
            "routing_optimization",
            "Optimal Content Routing",
            "node_capacity * uptime_score * bandwidth_contribution * geographic_proximity * trust_level",
            vec!["node_capacity", "uptime_score", "bandwidth_contribution", "geographic_proximity", "trust_level"],
            AlgorithmCategory::NetworkTopology
        ).await?;
        
        // Anti-Spam Detection
        self.compile_algorithm(
            "spam_detection",
            "Content Spam Score",
            "repetition_factor * velocity_anomaly * relationship_authenticity * content_originality * user_history",
            vec!["repetition_factor", "velocity_anomaly", "relationship_authenticity", "content_originality", "user_history"],
            AlgorithmCategory::ContentRanking
        ).await?;
        
        println!("🧮 Initialized {} social algorithms", self.compiled_algorithms.len());
        Ok(())
    }
    
    async fn compile_algorithm(
        &mut self,
        id: &str,
        name: &str,
        expression: &str,
        variables: Vec<&str>,
        category: AlgorithmCategory,
    ) -> Result<(), String> {
        let variables: Vec<String> = variables.into_iter().map(|s| s.to_string()).collect();
        
        #[cfg(feature = "wasm")]
        {
            self.platform.compile_model(id, name, expression, variables.clone())
                .await
                .map_err(|e| format!("Failed to compile {}: {:?}", id, e))?;
        }
        
        let metadata = AlgorithmMetadata {
            name: name.to_string(),
            description: format!("Expression: {}", expression),
            variables,
            category,
            created_at: chrono::Utc::now(),
        };
        
        self.compiled_algorithms.insert(id.to_string(), metadata);
        println!("✅ Compiled algorithm: {}", name);
        Ok(())
    }
    
    /// Calculate how reputation should flow from one user to another
    pub async fn calculate_reputation_flow(
        &self,
        source_reputation: f64,
        connection_strength: f64,
        trust_factor: f64,
        time_decay: f64,
    ) -> Result<f64, String> {
        self.execute_algorithm("reputation_flow", vec![
            source_reputation, connection_strength, trust_factor, time_decay
        ]).await
    }
    
    /// Predict how viral a piece of content will become
    pub async fn predict_content_virality(
        &self,
        author_reputation: f64,
        content_quality: f64,
        topic_relevance: f64,
        network_centrality: f64,
        freshness_factor: f64,
    ) -> Result<f64, String> {
        self.execute_algorithm("content_virality", vec![
            author_reputation, content_quality, topic_relevance, network_centrality, freshness_factor
        ]).await
    }
    
    /// Calculate community health score
    pub async fn calculate_community_vitality(
        &self,
        member_diversity: f64,
        active_members: f64,
        engagement_rate: f64,
        toxicity_score: f64,
        resource_sharing_index: f64,
    ) -> Result<f64, String> {
        self.execute_algorithm("community_vitality", vec![
            member_diversity, active_members, engagement_rate, toxicity_score, resource_sharing_index
        ]).await
    }
    
    /// Calculate voting weight in democratic governance
    pub async fn calculate_democratic_weight(
        &self,
        base_weight: f64,
        membership_duration_days: f64,
        activity_factor: f64,
        spam_likelihood: f64,
    ) -> Result<f64, String> {
        self.execute_algorithm("democratic_governance", vec![
            base_weight, membership_duration_days, activity_factor, spam_likelihood
        ]).await
    }
    
    /// Execute any compiled algorithm
    async fn execute_algorithm(&self, id: &str, values: Vec<f64>) -> Result<f64, String> {
        if !self.compiled_algorithms.contains_key(id) {
            return Err(format!("Algorithm '{}' not found. Available: {:?}", 
                id, self.compiled_algorithms.keys().collect::<Vec<_>>()));
        }
        
        #[cfg(feature = "wasm")]
        {
            self.platform.execute_model(id, values)
                .await
                .map_err(|e| format!("Execution failed: {:?}", e))
        }
        
        #[cfg(not(feature = "wasm"))]
        {
            // Mock implementation for testing without WASM
            self.mock_execute_algorithm(id, values)
        }
    }
    
    #[cfg(not(feature = "wasm"))]
    fn mock_execute_algorithm(&self, id: &str, values: Vec<f64>) -> Result<f64, String> {
        match id {
            "reputation_flow" => Ok(values[0] * values[1] * values[2] * (-values[3]).exp()),
            "content_virality" => Ok((values[0] + 1.0).ln() * values[1] * values[2] * values[3] * values[4]),
            "community_vitality" => Ok(values[0] * (values[1] + 1.0).ln() * values[2] * (1.0 - values[3]) * values[4]),
            "democratic_governance" => Ok(values[0] * values[1].sqrt().min(10.0) * values[2] * (1.0 - values[3])),
            "merit_governance" => Ok(values[0].sqrt() * values[1] * values[2] * values[3]),
            "routing_optimization" => Ok(values.iter().product::<f64>().powf(1.0 / values.len() as f64)),
            "spam_detection" => Ok(values.iter().sum::<f64>() / values.len() as f64),
            _ => Err(format!("Unknown algorithm: {}", id)),
        }
    }
    
    /// Allow communities to define custom algorithms
    pub async fn compile_community_algorithm(
        &mut self,
        community_id: &str,
        algorithm_name: &str,
        expression: &str,
        variables: Vec<String>,
        description: Option<String>,
    ) -> Result<String, String> {
        let id = format!("community_{}_{}", community_id, algorithm_name);
        
        #[cfg(feature = "wasm")]
        {
            // Validate expression first
            if !self.platform.validate_expression(expression) {
                return Err("Invalid mathematical expression".to_string());
            }
            
            self.platform.compile_model(&id, algorithm_name, expression, variables.clone())
                .await
                .map_err(|e| format!("Compilation failed: {:?}", e))?;
        }
        
        let metadata = AlgorithmMetadata {
            name: algorithm_name.to_string(),
            description: description.unwrap_or_else(|| format!("Community algorithm: {}", expression)),
            variables,
            category: AlgorithmCategory::Custom(community_id.to_string()),
            created_at: chrono::Utc::now(),
        };
        
        self.compiled_algorithms.insert(id.clone(), metadata);
        println!("🏘️ Compiled community algorithm '{}' for community '{}'", algorithm_name, community_id);
        
        Ok(id)
    }
    
    /// List all available algorithms
    pub fn list_algorithms(&self) -> Vec<&AlgorithmMetadata> {
        self.compiled_algorithms.values().collect()
    }
    
    /// Get algorithm metadata
    pub fn get_algorithm(&self, id: &str) -> Option<&AlgorithmMetadata> {
        self.compiled_algorithms.get(id)
    }
}

🖥️ Desktop Application Setup

Create Tauri Desktop App

cd univrs-mycelia
mkdir mycelia-desktop && cd mycelia-desktop

# Initialize Tauri project
npm create tauri-app@latest . -- --template vanilla-ts
cd src-tauri

src-tauri/Cargo.toml

[package]
name = "mycelia-desktop"
version = "0.1.0"
description = "Univrs.io Mycelia Network Desktop Client"
authors = ["Your Name"]
license = "MIT OR Apache-2.0"
repository = ""
edition = "2021"

[build-dependencies]
tauri-build = { version = "1.0", features = [] }

[dependencies]
serde_json = "1.0"
serde = { version = "1.0", features = ["derive"] }
tauri = { version = "1.0", features = ["api-all", "system-tray", "notification"] }
mycelia-core = { path = "../../mycelia-core", features = ["desktop"] }
tokio = { version = "1.0", features = ["full"] }
uuid = "1.0"

[features]
custom-protocol = ["tauri/custom-protocol"]

src-tauri/src/main.rs

#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]

use mycelia_core::{MyceliaNode, MyceliaContentType, MyceliaEvent};
use tauri::{CustomMenuItem, Menu, MenuItem, Submenu, SystemTray, SystemTrayMenu, State, Manager};
use std::sync::Arc;
use tokio::sync::{RwLock, mpsc};

struct MyceliaState {
    node: Arc<RwLock<Option<MyceliaNode>>>,
    event_receiver: Arc<RwLock<Option<mpsc::UnboundedReceiver<MyceliaEvent>>>>,
}

#[tauri::command]
async fn initialize_node(
    display_name: Option<String>,
    state: State<'_, MyceliaState>,
    app: tauri::AppHandle,
) -> Result<String, String> {
    let mut node_guard = state.node.write().await;
    
    match MyceliaNode::new(display_name).await {
        Ok(mut node) => {
            node.start_listening(0).await
                .map_err(|e| format!("Failed to start listening: {}", e))?;
            
            let did = node.identity.did.clone();
            
            // Set up event forwarding to frontend
            let event_sender = node.event_sender.clone();
            let app_handle = app.clone();
            
            tokio::spawn(async move {
                // Forward Mycelia events to Tauri frontend
                // This would be implemented to bridge the event systems
            });
            
            // Start the node's event loop in background
            tokio::spawn(async move {
                if let Err(e) = node.run_event_loop().await {
                    eprintln!("Node event loop error: {}", e);
                }
            });
            
            *node_guard = Some(node);
            Ok(did)
        },
        Err(e) => Err(format!("Failed to initialize node: {}", e))
    }
}

#[tauri::command]
async fn publish_post(
    text: String,
    tags: Vec<String>,
    state: State<'_, MyceliaState>,
) -> Result<String, String> {
    let node_guard = state.node.read().await;
    
    if let Some(node) = node_guard.as_ref() {
        // This would need to be restructured to avoid borrowing issues
        // For now, return a placeholder
        Ok("content_id_placeholder".to_string())
    } else {
        Err("Node not initialized".to_string())
    }
}

#[tauri::command]
async fn get_node_status(state: State<'_, MyceliaState>) -> Result<NodeStatus, String> {
    let node_guard = state.node.read().await;
    
    if let Some(_node) = node_guard.as_ref() {
        Ok(NodeStatus {
            connected: true,
            peer_count: 5, // Placeholder
            content_count: 42, // Placeholder
            reputation: 0.75, // Placeholder
        })
    } else {
        Ok(NodeStatus {
            connected: false,
            peer_count: 0,
            content_count: 0,
            reputation: 0.0,
        })
    }
}

#[derive(serde::Serialize)]
struct NodeStatus {
    connected: bool,
    peer_count: u32,
    content_count: u32,
    reputation: f64,
}

fn main() {
    let context = tauri::generate_context!();
    
    let menu = Menu::new()
        .add_submenu(Submenu::new("Mycelia", Menu::new()
            .add_item(CustomMenuItem::new("new_post", "New Post"))
            .add_item(CustomMenuItem::new("communities", "Communities"))
            .add_separator()
            .add_item(CustomMenuItem::new("settings", "Settings"))
            .add_separator()
            .add_native_item(MenuItem::Quit)
        ))
        .add_submenu(Submenu::new("Network", Menu::new()
            .add_item(CustomMenuItem::new("status", "Network Status"))
            .add_item(CustomMenuItem::new("peers", "Connected Peers"))
            .add_item(CustomMenuItem::new("bootstrap", "Bootstrap"))
        ))
        .add_submenu(Submenu::new("Math", Menu::new()
            .add_item(CustomMenuItem::new("calculator", "Math Calculator"))
            .add_item(CustomMenuItem::new("algorithms", "Social Algorithms"))
        ));
        
    let system_tray_menu = SystemTrayMenu::new()
        .add_item(CustomMenuItem::new("show", "Show Mycelia"))
        .add_separator()
        .add_item(CustomMenuItem::new("status", "Network Status"))
        .add_separator()
        .add_item(CustomMenuItem::new("quit", "Quit"));
    
    tauri::Builder::default()
        .manage(MyceliaState {
            node: Arc::new(RwLock::new(None)),
            event_receiver: Arc::new(RwLock::new(None)),
        })
        .menu(menu)
        .system_tray(SystemTray::new().with_menu(system_tray_menu))
        .invoke_handler(tauri::generate_handler![
            initialize_node,
            publish_post,
            get_node_status
        ])
        .run(context)
        .expect("error while running tauri application");
}

🌐 Frontend Implementation

src/index.html

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <link rel="icon" type="image/svg+xml" href="/vite.svg" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>Univrs.io - Mycelia Network</title>
    <style>
      body {
        margin: 0;
        padding: 20px;
        font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', sans-serif;
        background: linear-gradient(135deg, #2c3e50, #34495e);
        color: #ecf0f1;
        min-height: 100vh;
      }
      
      .header {
        display: flex;
        justify-content: space-between;
        align-items: center;
        margin-bottom: 30px;
        padding: 20px;
        background: rgba(44, 62, 80, 0.8);
        border-radius: 10px;
        backdrop-filter: blur(10px);
      }
      
      .logo {
        display: flex;
        align-items: center;
        gap: 10px;
        font-size: 24px;
        font-weight: bold;
      }
      
      .status {
        display: flex;
        flex-direction: column;
        align-items: flex-end;
        gap: 5px;
      }
      
      .status-indicator {
        width: 10px;
        height: 10px;
        border-radius: 50%;
        background: #e74c3c;
        animation: pulse 2s infinite;
      }
      
      .status-indicator.connected {
        background: #2ecc71;
      }
      
      @keyframes pulse {
        0% { transform: scale(1); opacity: 1; }
        50% { transform: scale(1.1); opacity: 0.7; }
        100% { transform: scale(1); opacity: 1; }
      }
      
      .main-content {
        display: grid;
        grid-template-columns: 1fr 300px;
        gap: 20px;
      }
      
      .composer {
        background: rgba(52, 73, 94, 0.8);
        padding: 20px;
        border-radius: 10px;
        margin-bottom: 20px;
      }
      
      .composer textarea {
        width: 100%;
        min-height: 100px;
        background: rgba(44, 62, 80, 0.5);
        border: 1px solid #34495e;
        border-radius: 5px;
        padding: 10px;
        color: #ecf0f1;
        font-family: inherit;
        resize: vertical;
      }
      
      .composer input {
        width: 100%;
        margin: 10px 0;
        padding: 8px;
        background: rgba(44, 62, 80, 0.5);
        border: 1px solid #34495e;
        border-radius: 5px;
        color: #ecf0f1;
      }
      
      .publish-btn {
        background: #3498db;
        color: white;
        border: none;
        padding: 10px 20px;
        border-radius: 5px;
        cursor: pointer;
        font-size: 16px;
        transition: background 0.3s;
      }
      
      .publish-btn:hover {
        background: #2980b9;
      }
      
      .publish-btn:disabled {
        background: #95a5a6;
        cursor: not-allowed;
      }
      
      .feed {
        background: rgba(52, 73, 94, 0.8);
        border-radius: 10px;
        padding: 20px;
        max-height: 600px;
        overflow-y: auto;
      }
      
      .sidebar {
        display: flex;
        flex-direction: column;
        gap: 20px;
      }
      
      .widget {
        background: rgba(52, 73, 94, 0.8);
        padding: 20px;
        border-radius: 10px;
      }
      
      .widget h3 {
        margin: 0 0 15px 0;
        color: #3498db;
      }
      
      .math-widget {
        background: rgba(142, 68, 173, 0.2);
      }
      
      .math-widget textarea {
        width: 100%;
        height: 60px;
        background: rgba(44, 62, 80, 0.5);
        border: 1px solid #9b59b6;
        border-radius: 5px;
        padding: 8px;
        color: #ecf0f1;
        font-family: 'Courier New', monospace;
      }
      
      .math-result {
        margin-top: 10px;
        padding: 10px;
        background: rgba(46, 204, 113, 0.2);
        border-radius: 5px;
        font-family: 'Courier New', monospace;
      }
      
      .post {
        background: rgba(44, 62, 80, 0.6);
        margin: 10px 0;
        padding: 15px;
        border-radius: 8px;
        border-left: 3px solid #3498db;
      }
      
      .post-header {
        display: flex;
        justify-content: space-between;
        align-items: center;
        margin-bottom: 10px;
        font-size: 0.9em;
        opacity: 0.8;
      }
      
      .post-content {
        line-height: 1.5;
      }
      
      .post-tags {
        margin-top: 10px;
        display: flex;
        gap: 5px;
      }
      
      .tag {
        background: rgba(52, 152, 219, 0.3);
        padding: 2px 8px;
        border-radius: 12px;
        font-size: 0.8em;
      }
    </style>
  </head>
  <body>
    <div class="header">
      <div class="logo">
        🍄 Univrs.io Mycelia
      </div>
      <div class="status">
        <div id="connection-status">Initializing...</div>
        <div class="status-indicator" id="status-indicator"></div>
      </div>
    </div>
    
    <div class="main-content">
      <div class="feed-column">
        <div class="composer">
          <h3>Share with the Network</h3>
          <textarea id="post-content" placeholder="What's growing in your corner of the mycelia network?"></textarea>
          <input type="text" id="post-tags" placeholder="Tags (comma-separated)">
          <button class="publish-btn" id="publish-btn" disabled>Publish to Network</button>
        </div>
        
        <div class="feed">
          <h3>Network Feed</h3>
          <div id="posts-container">
            <div class="post">
              <div class="post-header">
                <span>🌱 Network Seed</span>
                <span>Just now</span>
              </div>
              <div class="post-content">
                Welcome to the Mycelia Network! This is a decentralized social platform where communities govern themselves using mathematical algorithms. No corporate overlords, no secret algorithms - just transparent, community-controlled networking.
              </div>
              <div class="post-tags">
                <span class="tag">welcome</span>
                <span class="tag">mycelia</span>
                <span class="tag">decentralized</span>
              </div>
            </div>
          </div>
        </div>
      </div>
      
      <div class="sidebar">
        <div class="widget">
          <h3>Network Status</h3>
          <div>Connected Peers: <span id="peer-count">0</span></div>
          <div>Content Items: <span id="content-count">0</span></div>
          <div>Your Reputation: <span id="reputation-score">0.00</span></div>
        </div>
        
        <div class="widget math-widget">
          <h3>🧮 Dynamic Math</h3>
          <p>Test mathematical expressions:</p>
          <textarea id="math-expression" placeholder="sqrt(x^2 + y^2)"></textarea>
          <button onclick="evaluateMath()" class="publish-btn">Evaluate</button>
          <div class="math-result" id="math-result" style="display: none;"></div>
        </div>
        
        <div class="widget">
          <h3>Communities</h3>
          <div id="communities-list">
            <div>🌍 Global Discussion</div>
            <div>🔬 Science & Math</div>
            <div>🏛️ Network Governance</div>
            <div>💡 Innovation Hub</div>
          </div>
        </div>
      </div>
    </div>
    
    <script type="module" src="/src/main.ts"></script>
  </body>
</html>

src/main.ts

const { invoke } = (window as any).__TAURI__.tauri;

interface NodeStatus {
  connected: boolean;
  peer_count: number;
  content_count: number;
  reputation: number;
}

let nodeInitialized = false;

async function initializeApp() {
  try {
    console.log("🚀 Initializing Mycelia Node...");
    
    const did = await invoke('initialize_node', { 
      displayName: "Desktop Pioneer" 
    });
    
    console.log("✅ Node initialized:", did);
    updateConnectionStatus("Connected", true);
    nodeInitialized = true;
    
    // Enable publish button
    const publishBtn = document.getElementById('publish-btn') as HTMLButtonElement;
    publishBtn.disabled = false;
    
    // Start status updates
    startStatusUpdates();
    
  } catch (error) {
    console.error("❌ Failed to initialize node:", error);
    updateConnectionStatus(`Error: ${error}`, false);
  }
}

function updateConnectionStatus(message: string, connected: boolean) {
  const statusElement = document.getElementById('connection-status');
  const indicatorElement = document.getElementById('status-indicator');
  
  if (statusElement) {
    statusElement.textContent = message;
  }
  
  if (indicatorElement) {
    if (connected) {
      indicatorElement.classList.add('connected');
    } else {
      indicatorElement.classList.remove('connected');
    }
  }
}

async function publishPost() {
  if (!nodeInitialized) {
    alert("Node not initialized yet. Please wait...");
    return;
  }
  
  const contentElement = document.getElementById('post-content') as HTMLTextAreaElement;
  const tagsElement = document.getElementById('post-tags') as HTMLInputElement;
  
  const content = contentElement.value.trim();
  const tagsText = tagsElement.value.trim();
  
  if (!content) {
    alert("Please enter some content");
    return;
  }
  
  const tags = tagsText ? tagsText.split(',').map(t => t.trim()) : [];
  
  try {
    const contentId = await invoke('publish_post', { text: content, tags });
    console.log("📤 Published content:", contentId);
    
    // Add to local feed
    addPostToFeed({
      author: "You",
      content: content,
      tags: tags,
      timestamp: new Date().toLocaleTimeString()
    });
    
    // Clear form
    contentElement.value = '';
    tagsElement.value = '';
    
  } catch (error) {
    console.error("❌ Failed to publish:", error);
    alert(`Failed to publish: ${error}`);
  }
}

function addPostToFeed(post: { author: string, content: string, tags: string[], timestamp: string }) {
  const container = document.getElementById('posts-container');
  if (!container) return;
  
  const postElement = document.createElement('div');
  postElement.className = 'post';
  
  const tagsHtml = post.tags.map(tag => `<span class="tag">${tag}</span>`).join('');
  
  postElement.innerHTML = `
    <div class="post-header">
      <span>👤 ${post.author}</span>
      <span>${post.timestamp}</span>
    </div>
    <div class="post-content">${post.content}</div>
    <div class="post-tags">${tagsHtml}</div>
  `;
  
  // Insert at the top
  const firstChild = container.firstElementChild;
  if (firstChild) {
    container.insertBefore(postElement, firstChild);
  } else {
    container.appendChild(postElement);
  }
}

async function startStatusUpdates() {
  setInterval(async () => {
    try {
      const status: NodeStatus = await invoke('get_node_status');
      
      const peerCountElement = document.getElementById('peer-count');
      const contentCountElement = document.getElementById('content-count');
      const reputationElement = document.getElementById('reputation-score');
      
      if (peerCountElement) peerCountElement.textContent = status.peer_count.toString();
      if (contentCountElement) contentCountElement.textContent = status.content_count.toString();
      if (reputationElement) reputationElement.textContent = status.reputation.toFixed(2);
      
    } catch (error) {
      console.error("Failed to get status:", error);
    }
  }, 5000);
}

async function evaluateMath() {
  const expressionElement = document.getElementById('math-expression') as HTMLTextAreaElement;
  const resultElement = document.getElementById('math-result');
  
  if (!expressionElement || !resultElement) return;
  
  const expression = expressionElement.value.trim();
  if (!expression) return;
  
  try {
    // This would integrate with your dynamic-math platform
    // For now, show a placeholder
    resultElement.style.display = 'block';
    resultElement.innerHTML = `
      <strong>Expression:</strong> ${expression}<br>
      <strong>Result:</strong> <em>Math evaluation would happen here using your dynamic-math platform</em>
    `;
    
  } catch (error) {
    resultElement.style.display = 'block';
    resultElement.innerHTML = `<span style="color: #e74c3c;">Error: ${error}</span>`;
  }
}

// Event listeners
document.addEventListener('DOMContentLoaded', () => {
  initializeApp();
  
  const publishBtn = document.getElementById('publish-btn');
  if (publishBtn) {
    publishBtn.addEventListener('click', publishPost);
  }
  
  // Handle Enter key in post content
  const postContent = document.getElementById('post-content');
  if (postContent) {
    postContent.addEventListener('keydown', (e) => {
      if (e.ctrlKey && e.key === 'Enter') {
        publishPost();
      }
    });
  }
});

// Make functions available globally for HTML onclick handlers
(window as any).evaluateMath = evaluateMath;

🚀 Build & Run Instructions

Development Build

# Build the core library
cd univrs-mycelia/mycelia-core
cargo build

# Build and run desktop app
cd ../mycelia-desktop
npm install
npm run tauri dev

Production Build

# Build for distribution
cd mycelia-desktop
npm run tauri build

# The app will be in src-tauri/target/release/bundle/

🌱 Next Steps & Roadmap

Immediate (Week 1-2)

  1. Get basic P2P working - Focus on libp2p messaging

  2. Integrate your dynamic-math - Connect WASM compilation

  3. Basic content sharing - Text posts with signatures

  4. Simple reputation - Using your math algorithms

Short-term (Month 1)

  1. WebRTC browser support - Using wasm-peers or similar

  2. Community creation - Math-governed groups

  3. Mobile app prototype - React Native or Flutter

  4. Bootstrap network - Deploy initial nodes

Long-term (Month 2-3)

  1. Advanced governance - Custom community algorithms

  2. Media sharing - Images, videos with chunking

  3. Network optimization - DHT improvements, caching

  4. Public launch - Open beta with documentation

🎯 The Vision Realized

When complete, Univrs.io will be the world’s first mathematically-governed social network where:

  • Communities write their own algorithms using your dynamic-math platform

  • Content spreads organically based on mathematical merit, not corporate manipulation

  • Governance is transparent and customizable per community

  • Users truly own their data through cryptographic proofs

  • The network grows stronger with each participant, like a natural ecosystem

This isn’t just another social platform - it’s digital democracy powered by mathematics! 🍄📊🌐

Ready to build the future? Let’s start with the core library and get your first Mycelia node growing! 🌱

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