diff --git a/examples/edge/pkg/README.md b/examples/edge/pkg/README.md
index 3d08a011..442fd3bb 100644
--- a/examples/edge/pkg/README.md
+++ b/examples/edge/pkg/README.md
@@ -23,7 +23,32 @@ const matcher = new WasmSemanticMatcher();
const vectorIndex = new WasmHnswIndex(128, 16, 200);
```
-## Why Edge-First Swarms?
+---
+
+## Table of Contents
+
+1. [Why Edge-First?](#why-edge-first)
+2. [Features](#features)
+3. [Quick Start](#quick-start)
+4. [Tutorial: Build Your First Swarm](#tutorial-build-your-first-swarm)
+ - [Step 1: Agent Identity](#step-1-agent-identity)
+ - [Step 2: Secure Communication](#step-2-secure-communication)
+ - [Step 3: Vector Search](#step-3-vector-search)
+ - [Step 4: Task Routing](#step-4-task-routing)
+ - [Step 5: Distributed Consensus](#step-5-distributed-consensus)
+5. [P2P Transport Options](#p2p-transport-options)
+ - [WebRTC (Browser-to-Browser)](#option-1-webrtc-browser-to-browser)
+ - [GUN.js (Decentralized Database)](#option-2-gunjs-decentralized-database)
+ - [IPFS + libp2p](#option-3-ipfs--libp2p)
+ - [Nostr Relays](#option-4-nostr-relays)
+6. [Architecture](#architecture)
+7. [API Reference](#api-reference)
+8. [Performance](#performance)
+9. [Security](#security)
+
+---
+
+## Why Edge-First?
| Traditional Cloud Swarms | RuVector Edge Swarms |
|--------------------------|---------------------|
@@ -50,253 +75,750 @@ RuVector Edge Swarm:
└── Total: $0/month forever
```
-## Core Philosophy
+### How Is It Free?
-### 1. Zero Infrastructure Costs
-Your swarm runs on devices you already own - browsers, phones, laptops, Raspberry Pis, edge servers. No cloud bills, no API limits, no usage caps.
+The code runs on devices you already own - there's no server to pay for:
-### 2. Privacy by Default
-Agent communication never touches external servers. All data stays within your network. Post-quantum encryption ensures even future quantum computers can't decrypt your traffic.
+```
+Traditional Architecture:
+┌──────────┐ ┌─────────────────┐ ┌──────────┐
+│ Agent A │────►│ Cloud Server │◄────│ Agent B │
+└──────────┘ │ ($$$$/month) │ └──────────┘
+ └─────────────────┘
-### 3. True Decentralization
-No single point of failure. Agents discover each other, elect leaders via Raft consensus, and continue operating even when nodes go offline.
+Edge Architecture:
+┌──────────┐◄───────────────────────────►┌──────────┐
+│ Agent A │ Direct P2P │ Agent B │
+│ (Browser)│ Connection │ (Browser)│
+└──────────┘ └──────────┘
+ No server = No cost
+```
-### 4. Browser-Native
-The entire stack compiles to 364KB of WebAssembly. Run sophisticated AI swarms in web workers, service workers, or directly in the browser - no backend required.
+---
-## Installation
+## Features
+
+| Feature | Description |
+|---------|-------------|
+| **Ed25519 Identity** | Cryptographic agent identity with signing |
+| **AES-256-GCM** | Authenticated encryption for all messages |
+| **Post-Quantum Hybrid** | Future-proof against quantum attacks |
+| **HNSW Vector Index** | 150x faster similarity search |
+| **Semantic Matching** | Intelligent task-to-agent routing |
+| **Raft Consensus** | Distributed leader election |
+| **Spiking Networks** | Bio-inspired temporal learning |
+| **Adaptive Compression** | Network-aware bandwidth optimization |
+
+---
+
+## Quick Start
+
+### Installation
```bash
npm install @ruvector/edge
```
-## Quick Start
-
-### Browser/Node.js (ESM)
+### Basic Usage
```javascript
import init, {
WasmIdentity,
WasmCrypto,
WasmHnswIndex,
- WasmSemanticMatcher,
- WasmRaftNode,
- WasmSpikingNetwork
+ WasmSemanticMatcher
} from '@ruvector/edge';
-// Initialize WASM module
+// Initialize WASM (required once)
await init();
-// 1. Create agent identity (Ed25519 keypair)
+// Create an agent
const agent = WasmIdentity.generate();
-console.log(`Agent ID: ${agent.agent_id()}`);
-console.log(`Public Key: ${agent.public_key_hex()}`);
+console.log(`Agent: ${agent.agent_id()}`);
-// 2. Sign and verify messages
-const message = new TextEncoder().encode("Task: analyze dataset");
-const signature = agent.sign(message);
-const isValid = agent.verify(message, signature);
-
-// 3. Encrypt communications (AES-256-GCM)
+// Encrypt a message
const crypto = new WasmCrypto();
const key = crypto.generate_key();
-const encrypted = crypto.encrypt(key, message);
-const decrypted = crypto.decrypt(key, encrypted);
+const encrypted = crypto.encrypt(key, new TextEncoder().encode("Hello swarm!"));
-// 4. Vector search for agent matching (HNSW - 150x faster)
+// Search vectors
const index = new WasmHnswIndex(128, 16, 200);
-index.insert("rust-agent", new Float32Array(128).fill(0.9));
-index.insert("python-agent", new Float32Array(128).fill(0.1));
-const query = new Float32Array(128).fill(0.85);
-const matches = index.search(query, 3);
+index.insert("doc-1", new Float32Array(128).fill(0.5));
+const results = index.search(new Float32Array(128).fill(0.5), 5);
-// 5. Semantic task routing
+// Route tasks
const matcher = new WasmSemanticMatcher();
-matcher.register_agent("code-agent", "rust typescript javascript programming");
-matcher.register_agent("data-agent", "python pandas numpy analysis");
-const best = matcher.find_best_agent("write a rust function");
-console.log(`Best agent: ${best}`);
-
-// 6. Distributed consensus (Raft)
-const members = ["node-1", "node-2", "node-3"];
-const raft = new WasmRaftNode("node-1", members);
-const voteRequest = raft.start_election();
+matcher.register_agent("coder", "rust typescript javascript");
+const best = matcher.find_best_agent("write a function");
```
-### Web Worker Example
+---
-```javascript
-// worker.js - Run swarm logic in a worker thread
-import init, { WasmIdentity, WasmSemanticMatcher } from '@ruvector/edge';
+## Tutorial: Build Your First Swarm
-let identity, matcher;
+This tutorial walks you through building a complete AI agent swarm that runs entirely in browsers with no backend.
-self.onmessage = async (e) => {
- if (e.data.type === 'init') {
- await init();
- identity = WasmIdentity.generate();
- matcher = new WasmSemanticMatcher();
- matcher.register_agent(identity.agent_id(), e.data.capabilities);
- self.postMessage({ type: 'ready', agentId: identity.agent_id() });
- }
+### Prerequisites
- if (e.data.type === 'route') {
- const best = matcher.find_best_agent(e.data.task);
- self.postMessage({ type: 'routed', agent: best });
- }
-};
+```bash
+mkdir my-swarm && cd my-swarm
+npm init -y
+npm install @ruvector/edge
```
-## Available APIs
+Create `index.html`:
-### WasmIdentity
-Ed25519 identity management for agents.
-
-```javascript
-const id = WasmIdentity.generate();
-id.agent_id(); // Unique agent identifier
-id.public_key_hex(); // Hex-encoded public key
-id.sign(message); // Sign Uint8Array
-id.verify(msg, sig); // Verify signature
+```html
+
+
+My AI Swarm
+
+
+
+
+
```
-### WasmCrypto
-AES-256-GCM authenticated encryption.
+---
+
+### Step 1: Agent Identity
+
+Every agent needs a unique cryptographic identity. This enables signing messages and verifying authenticity.
+
+Create `swarm.js`:
```javascript
+import init, { WasmIdentity } from '@ruvector/edge';
+
+async function createAgent(name) {
+ await init();
+
+ // Generate Ed25519 keypair
+ const identity = WasmIdentity.generate();
+
+ console.log(`Agent: ${name}`);
+ console.log(` ID: ${identity.agent_id()}`);
+ console.log(` Public Key: ${identity.public_key_hex().slice(0, 16)}...`);
+
+ return identity;
+}
+
+// Create our agent
+const myAgent = await createAgent("Worker-001");
+
+// Sign a message to prove identity
+const message = new TextEncoder().encode("I am Worker-001");
+const signature = myAgent.sign(message);
+console.log(` Signature: ${signature.slice(0, 8).join(',')}...`);
+
+// Verify the signature
+const isValid = myAgent.verify(message, signature);
+console.log(` Valid: ${isValid}`); // true
+```
+
+**What's happening:**
+- `WasmIdentity.generate()` creates an Ed25519 keypair
+- `agent_id()` returns a unique identifier derived from the public key
+- `sign()` creates a cryptographic signature proving the message came from this agent
+- `verify()` checks if a signature is valid
+
+---
+
+### Step 2: Secure Communication
+
+Agents need to encrypt messages so only intended recipients can read them.
+
+```javascript
+import init, { WasmIdentity, WasmCrypto } from '@ruvector/edge';
+
+await init();
+
const crypto = new WasmCrypto();
-crypto.generate_key(); // 32-byte random key
-crypto.encrypt(key, plaintext); // Returns ciphertext
-crypto.decrypt(key, ciphertext); // Returns plaintext
+
+// Agent A wants to send a secret message to Agent B
+const agentA = WasmIdentity.generate();
+const agentB = WasmIdentity.generate();
+
+// Generate a shared secret key (in real app, use key exchange)
+const sharedKey = crypto.generate_key();
+
+// Agent A encrypts
+const plaintext = new TextEncoder().encode(JSON.stringify({
+ task: "analyze_data",
+ payload: { dataset: "sales_2024.csv" }
+}));
+
+const ciphertext = crypto.encrypt(sharedKey, plaintext);
+console.log(`Encrypted: ${ciphertext.length} bytes`);
+
+// Agent B decrypts
+const decrypted = crypto.decrypt(sharedKey, ciphertext);
+const message = JSON.parse(new TextDecoder().decode(decrypted));
+console.log(`Decrypted: ${message.task}`); // "analyze_data"
```
-### WasmHnswIndex
-Hierarchical Navigable Small World graph for fast vector search.
+**Security features:**
+- AES-256-GCM authenticated encryption
+- Random nonce per message (replay protection)
+- Ciphertext integrity verification
+
+---
+
+### Step 3: Vector Search
+
+Agents need to find each other based on capabilities. HNSW enables fast similarity search.
```javascript
-const index = new WasmHnswIndex(dims, m, ef_construction);
-index.insert(id, vector); // Add vector
-index.search(query, k); // Find k nearest
-index.len(); // Number of vectors
+import init, { WasmHnswIndex } from '@ruvector/edge';
+
+await init();
+
+// Create index: 128 dimensions, M=16 connections, ef=200 search quality
+const index = new WasmHnswIndex(128, 16, 200);
+
+// Register agents with their capability embeddings
+// (In production, use real embeddings from a model)
+function mockEmbedding(weights) {
+ const vec = new Float32Array(128);
+ weights.forEach((w, i) => vec[i] = w);
+ return vec;
+}
+
+// Register specialized agents
+index.insert("rust-expert", mockEmbedding([0.9, 0.1, 0.0, 0.0]));
+index.insert("python-expert", mockEmbedding([0.1, 0.9, 0.0, 0.0]));
+index.insert("ml-expert", mockEmbedding([0.0, 0.5, 0.9, 0.0]));
+index.insert("devops-expert", mockEmbedding([0.0, 0.0, 0.2, 0.9]));
+
+console.log(`Index size: ${index.len()} agents`);
+
+// Find best agent for a Rust task
+const rustTask = mockEmbedding([0.85, 0.1, 0.05, 0.0]);
+const results = index.search(rustTask, 3);
+
+console.log("Best agents for Rust task:");
+results.forEach(([id, distance]) => {
+ console.log(` ${id}: distance=${distance.toFixed(3)}`);
+});
+// Output: rust-expert: distance=0.050
```
-### WasmSemanticMatcher
-LSH-based semantic matching for task routing.
+**Why HNSW?**
+- O(log n) search instead of O(n)
+- 150x faster than brute force at 10K+ vectors
+- Memory-efficient graph structure
+
+---
+
+### Step 4: Task Routing
+
+Route tasks to the best agent using semantic matching.
```javascript
+import init, { WasmSemanticMatcher } from '@ruvector/edge';
+
+await init();
+
const matcher = new WasmSemanticMatcher();
-matcher.register_agent(id, capabilities); // Add agent
-matcher.find_best_agent(task); // Route task
-matcher.agent_count(); // Registered agents
+
+// Register agents with capability descriptions
+matcher.register_agent("code-agent",
+ "rust typescript javascript python programming coding functions classes");
+matcher.register_agent("data-agent",
+ "python pandas numpy data analysis statistics csv excel");
+matcher.register_agent("devops-agent",
+ "docker kubernetes terraform aws deploy infrastructure cicd");
+matcher.register_agent("writing-agent",
+ "documentation markdown readme technical writing blog");
+
+console.log(`Registered ${matcher.agent_count()} agents`);
+
+// Route tasks to best agent
+const tasks = [
+ "Write a Rust function to parse JSON",
+ "Analyze the sales data in this CSV",
+ "Deploy the app to Kubernetes",
+ "Update the API documentation"
+];
+
+tasks.forEach(task => {
+ const best = matcher.find_best_agent(task);
+ console.log(`"${task.slice(0, 30)}..." → ${best}`);
+});
+
+// Output:
+// "Write a Rust function..." → code-agent
+// "Analyze the sales data..." → data-agent
+// "Deploy the app to Kube..." → devops-agent
+// "Update the API documen..." → writing-agent
```
-### WasmRaftNode
-Distributed consensus for leader election.
+**How it works:**
+- LSH (Locality-Sensitive Hashing) creates semantic fingerprints
+- Tasks are matched to agents by fingerprint similarity
+- Sub-millisecond routing even with many agents
+
+---
+
+### Step 5: Distributed Consensus
+
+When multiple agents need to agree on a leader or shared state, use Raft consensus.
```javascript
-const raft = new WasmRaftNode(id, members);
-raft.start_election(); // Become candidate
-raft.handle_vote(response); // Process vote
-raft.current_term(); // Raft term
-raft.state(); // "follower"|"candidate"|"leader"
+import init, { WasmRaftNode } from '@ruvector/edge';
+
+await init();
+
+// Create a 3-node cluster
+const members = ["node-1", "node-2", "node-3"];
+
+const node1 = new WasmRaftNode("node-1", members);
+const node2 = new WasmRaftNode("node-2", members);
+const node3 = new WasmRaftNode("node-3", members);
+
+console.log(`Node 1 state: ${node1.state()}`); // "follower"
+console.log(`Node 1 term: ${node1.current_term()}`); // 0
+
+// Node 1 times out and starts election
+const voteRequest = node1.start_election();
+console.log(`Node 1 state: ${node1.state()}`); // "candidate"
+console.log(`Node 1 term: ${node1.current_term()}`); // 1
+
+// Simulate: Node 2 and 3 grant votes
+// (In real app, send voteRequest over network, receive responses)
+const granted1 = node1.receive_vote(true);
+const granted2 = node1.receive_vote(true);
+
+console.log(`Node 1 state: ${node1.state()}`); // "leader"
+
+// Leader can now coordinate the swarm!
+console.log("Leader elected - swarm can coordinate");
```
-### WasmHybridKeyPair
-Post-quantum hybrid signatures (Ed25519 + Dilithium-style).
+**Raft guarantees:**
+- Only one leader at a time
+- Leader election in 1-2 round trips
+- Tolerates f failures in 2f+1 nodes
+
+---
+
+## P2P Transport Options
+
+RuVector Edge provides the intelligence layer. You need a transport layer for agents to communicate. Here are your free options:
+
+### Architecture Overview
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│ @ruvector/edge (WASM) │
+│ Identity, Crypto, HNSW, Semantic Matching, Raft, etc. │
+└─────────────────────────────────────────────────────────────┘
+ │
+ Transport Layer (choose one)
+ │
+ ┌─────────────────────┼─────────────────────┐
+ ▼ ▼ ▼
+ ┌─────────┐ ┌─────────┐ ┌─────────┐
+ │ WebRTC │ │ GUN.js │ │ IPFS/ │
+ │ (P2P) │ │ (P2P) │ │ libp2p │
+ └─────────┘ └─────────┘ └─────────┘
+```
+
+---
+
+### Option 1: WebRTC (Browser-to-Browser)
+
+**Best for:** Direct browser-to-browser communication
+**Cost:** Free (need minimal signaling server)
```javascript
-const keys = WasmHybridKeyPair.generate();
-keys.sign(message); // Quantum-resistant signature
-keys.verify(signature); // Verify hybrid sig
-keys.public_key_bytes(); // Export public key
+import init, { WasmIdentity, WasmCrypto } from '@ruvector/edge';
+
+await init();
+
+const identity = WasmIdentity.generate();
+const crypto = new WasmCrypto();
+
+// Create peer connection
+const pc = new RTCPeerConnection({
+ iceServers: [{ urls: 'stun:stun.l.google.com:19302' }] // Free STUN
+});
+
+// Create data channel for agent messages
+const channel = pc.createDataChannel('swarm');
+
+channel.onopen = () => {
+ console.log('P2P connection established!');
+
+ // Send encrypted message
+ const key = crypto.generate_key(); // Exchange via signaling
+ const message = { type: 'task', data: 'analyze this' };
+ const encrypted = crypto.encrypt(key,
+ new TextEncoder().encode(JSON.stringify(message))
+ );
+
+ channel.send(encrypted);
+};
+
+channel.onmessage = (event) => {
+ const decrypted = crypto.decrypt(key, new Uint8Array(event.data));
+ const message = JSON.parse(new TextDecoder().decode(decrypted));
+ console.log('Received:', message);
+};
+
+// Signaling (exchange offer/answer via any method)
+const offer = await pc.createOffer();
+await pc.setLocalDescription(offer);
+// Send offer to peer via signaling server, WebSocket, or even QR code
```
-### WasmSpikingNetwork
-Spiking neural networks with STDP learning.
+**Free signaling options:**
+- PeerJS Cloud (free tier)
+- Firebase Realtime Database (free tier)
+- Your own WebSocket on Fly.io/Railway free tier
+
+---
+
+### Option 2: GUN.js (Decentralized Database)
+
+**Best for:** Real-time sync, offline-first, no server needed
+**Cost:** Completely free (public relay network)
```javascript
-const net = new WasmSpikingNetwork(inputs, hidden, outputs);
-net.forward(spikes); // Process spike train
-net.stdp_update(pre, post, lr); // Apply learning
-net.reset(); // Reset membrane potentials
+import init, { WasmIdentity, WasmSemanticMatcher } from '@ruvector/edge';
+import Gun from 'gun';
+
+await init();
+
+const identity = WasmIdentity.generate();
+const matcher = new WasmSemanticMatcher();
+
+// Connect to public GUN relays (free!)
+const gun = Gun(['https://gun-manhattan.herokuapp.com/gun']);
+
+// Create swarm namespace
+const swarm = gun.get('my-ai-swarm');
+
+// Register this agent
+swarm.get('agents').get(identity.agent_id()).put({
+ id: identity.agent_id(),
+ capabilities: 'rust typescript programming',
+ publicKey: identity.public_key_hex(),
+ online: true,
+ timestamp: Date.now()
+});
+
+// Listen for new agents
+swarm.get('agents').map().on((agent, id) => {
+ if (agent && agent.id !== identity.agent_id()) {
+ console.log(`Discovered agent: ${agent.id}`);
+ matcher.register_agent(agent.id, agent.capabilities);
+ }
+});
+
+// Publish tasks
+swarm.get('tasks').set({
+ id: crypto.randomUUID(),
+ description: 'Write a Rust function',
+ from: identity.agent_id(),
+ timestamp: Date.now()
+});
+
+// Listen for tasks
+swarm.get('tasks').map().on((task) => {
+ if (task) {
+ const bestAgent = matcher.find_best_agent(task.description);
+ if (bestAgent === identity.agent_id()) {
+ console.log(`I should handle: ${task.description}`);
+ }
+ }
+});
```
-### WasmQuantizer
-8-bit scalar quantization for bandwidth reduction.
+**Why GUN?**
+- No server required - uses public relays
+- Offline-first with automatic sync
+- Real-time updates via WebSocket
+- Already integrated in RuVector Edge (Rust side)
+
+---
+
+### Option 3: IPFS + libp2p
+
+**Best for:** Content-addressed storage + P2P messaging
+**Cost:** Free (self-host) or free tier (Pinata, Infura)
```javascript
-const q = new WasmQuantizer();
-const quantized = q.quantize(floatArray); // 4x compression
-const restored = q.reconstruct(quantized); // Reconstruct
+import init, { WasmIdentity, WasmCrypto } from '@ruvector/edge';
+import { createLibp2p } from 'libp2p';
+import { webSockets } from '@libp2p/websockets';
+import { noise } from '@chainsafe/libp2p-noise';
+import { gossipsub } from '@chainsafe/libp2p-gossipsub';
+
+await init();
+
+const identity = WasmIdentity.generate();
+const crypto = new WasmCrypto();
+
+// Create libp2p node
+const node = await createLibp2p({
+ transports: [webSockets()],
+ connectionEncryption: [noise()],
+ pubsub: gossipsub()
+});
+
+await node.start();
+
+// Subscribe to swarm topic
+const topic = 'my-ai-swarm';
+
+node.pubsub.subscribe(topic);
+node.pubsub.addEventListener('message', (event) => {
+ if (event.detail.topic === topic) {
+ const message = JSON.parse(new TextDecoder().decode(event.detail.data));
+ console.log('Received:', message);
+ }
+});
+
+// Publish to swarm
+node.pubsub.publish(topic, new TextEncoder().encode(JSON.stringify({
+ from: identity.agent_id(),
+ type: 'announce',
+ capabilities: ['rust', 'wasm']
+})));
```
-### WasmAdaptiveCompressor
-Network-aware adaptive compression.
+**IPFS for artifacts:**
```javascript
-const comp = new WasmAdaptiveCompressor();
-comp.update_metrics(bandwidth, latency);
-comp.compress(data); // Auto-selects compression
-comp.decompress(compressed); // Restore data
-comp.condition(); // "excellent"|"good"|"poor"|"critical"
+import { create } from 'ipfs-http-client';
+
+// Use free Infura IPFS gateway
+const ipfs = create({ url: 'https://ipfs.infura.io:5001' });
+
+// Store agent output
+const result = await ipfs.add(JSON.stringify({
+ task: 'analyze-data',
+ output: { summary: '...' },
+ agent: identity.agent_id(),
+ signature: identity.sign(...)
+}));
+
+console.log(`Stored at: ipfs://${result.cid}`);
+
+// Share CID with swarm - anyone can fetch
```
+---
+
+### Option 4: Nostr Relays
+
+**Best for:** Simple pub/sub with free public infrastructure
+**Cost:** Free (many public relays)
+
+```javascript
+import init, { WasmIdentity } from '@ruvector/edge';
+import { relayInit, getEventHash, signEvent } from 'nostr-tools';
+
+await init();
+
+const identity = WasmIdentity.generate();
+
+// Connect to free public relay
+const relay = relayInit('wss://relay.damus.io');
+await relay.connect();
+
+// Create Nostr event (signed message)
+const event = {
+ kind: 29000, // Custom kind for AI swarm
+ created_at: Math.floor(Date.now() / 1000),
+ tags: [['swarm', 'my-ai-swarm']],
+ content: JSON.stringify({
+ agentId: identity.agent_id(),
+ type: 'task',
+ data: 'Write a function'
+ })
+};
+
+// Sign with identity (Nostr uses secp256k1, so bridge needed)
+// Or use Nostr's native keys alongside RuVector identity
+
+// Subscribe to swarm events
+const sub = relay.sub([
+ { kinds: [29000], '#swarm': ['my-ai-swarm'] }
+]);
+
+sub.on('event', (event) => {
+ const message = JSON.parse(event.content);
+ console.log(`From ${message.agentId}: ${message.type}`);
+});
+```
+
+---
+
+### Transport Comparison
+
+| Transport | Latency | Offline | Complexity | Best For |
+|-----------|---------|---------|------------|----------|
+| **WebRTC** | ~50ms | No | Medium | Real-time, gaming |
+| **GUN.js** | ~100ms | Yes | Low | General purpose |
+| **IPFS/libp2p** | ~200ms | Partial | High | Content storage |
+| **Nostr** | ~150ms | No | Low | Simple messaging |
+
+### Recommended: Start with GUN.js
+
+```bash
+npm install gun @ruvector/edge
+```
+
+GUN requires zero setup, works offline, and has a free public relay network.
+
+### Cost at Scale
+
+| Scale | Transport | Monthly Cost |
+|-------|-----------|--------------|
+| Any size | Public GUN relays | $0 (unlimited) |
+| Any size | WebRTC + free STUN | $0 (P2P direct) |
+| Heavy storage | IPFS Pinata free tier | $0 (1GB) |
+| Enterprise | Self-hosted relay | $5-20 (small VPS) |
+
+**Key insight:** You only pay for relay/signaling infrastructure, never for compute. The actual AI swarm logic runs on users' devices for free.
+
+---
+
## Architecture
+### Complete System
+
```
┌─────────────────────────────────────────────────────────────────────────┐
-│ @ruvector/edge (WASM) │
+│ Your Application │
├─────────────────────────────────────────────────────────────────────────┤
-│ │
-│ Browser / Node.js / Edge Function / Web Worker │
-│ │
-│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
-│ │ Identity │ │ Crypto │ │ HNSW │ │ Semantic │ │
-│ │ Ed25519 │ │ AES-GCM │ │ Index │ │ Matcher │ │
-│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
-│ │
-│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
-│ │ Raft │ │ Hybrid │ │ Spiking │ │ Quantizer │ │
-│ │ Consensus │ │ Post-QC │ │ Neural │ │ Compression │ │
-│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
-│ │
-├─────────────────────────────────────────────────────────────────────────┤
-│ 364KB WASM Binary │
-│ Runs on ANY JavaScript runtime │
+│ │
+│ ┌─────────────────────────────────────────────────────────────────┐ │
+│ │ @ruvector/edge (WASM) │ │
+│ │ │ │
+│ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │
+│ │ │ Identity │ │ Crypto │ │ HNSW │ │ Semantic │ │ │
+│ │ │ Ed25519 │ │ AES-GCM │ │ Index │ │ Matcher │ │ │
+│ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ │
+│ │ │ │
+│ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │
+│ │ │ Raft │ │ Hybrid │ │ Spiking │ │Quantizer │ │ │
+│ │ │Consensus │ │Post-QC │ │ Neural │ │Compress │ │ │
+│ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ │
+│ │ │ │
+│ └─────────────────────────────────────────────────────────────────┘ │
+│ │ │
+│ Transport Adapter │
+│ │ │
+│ ┌────────────────┬───────────────┼───────────────┬────────────────┐ │
+│ │ │ │ │ │ │
+│ ▼ ▼ ▼ ▼ ▼ │
+│ WebRTC GUN.js libp2p Nostr Custom │
+│ │
└─────────────────────────────────────────────────────────────────────────┘
- │ │ │
- ▼ ▼ ▼
- ┌─────────┐ ┌─────────┐ ┌─────────┐
- │ Browser │◄────────►│ Browser │◄────────►│ Edge │
- │ Agent A │ P2P │ Agent B │ P2P │ Agent C │
- └─────────┘ └─────────┘ └─────────┘
- │ │ │
- └────────────────────┼────────────────────┘
- │
- No Central Server
- No Cloud Costs
- No Data Leakage
+ │ │ │ │
+ ▼ ▼ ▼ ▼
+ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
+ │ Browser │ │ Browser │ │ Edge │ │ Node │
+ │ Agent A │◄────►│ Agent B │◄────►│ Agent C │◄────►│ Agent D │
+ └─────────┘ └─────────┘ └─────────┘ └─────────┘
+ │
+ No Central Server
+ No Cloud Costs
+ No Data Leakage
```
-## Use Cases
+### What Runs Where
-### 1. Browser-Based AI Assistants
-Run multiple specialized agents in web workers - code assistant, researcher, writer - all coordinating locally without API calls.
+| Component | Runs On | Cost |
+|-----------|---------|------|
+| RuVector Edge (WASM) | User's browser/device | Free - their CPU |
+| Vector index (HNSW) | User's browser/device | Free - their RAM |
+| Encryption (AES-GCM) | User's browser/device | Free - their CPU |
+| Raft consensus | Distributed across agents | Free - P2P |
+| Transport (GUN/WebRTC) | P2P or free relays | Free |
-### 2. Offline-First Applications
-Agents continue working without internet. Sync when connectivity returns using built-in conflict resolution.
+---
-### 3. Privacy-Preserving AI
-Process sensitive documents entirely client-side. Medical records, legal documents, financial data never leave the browser.
+## API Reference
-### 4. IoT Swarm Coordination
-Raspberry Pis, ESP32s, and edge devices run lightweight agents that coordinate without cloud infrastructure.
+### WasmIdentity
+```javascript
+const id = WasmIdentity.generate();
+id.agent_id() // Unique identifier
+id.public_key_hex() // Hex public key
+id.sign(Uint8Array) // Sign message
+id.verify(msg, sig) // Verify signature
+```
-### 5. Multiplayer AI Games
-Players' AI companions coordinate in real-time via WebRTC, with Raft ensuring consistent game state.
+### WasmCrypto
+```javascript
+const crypto = new WasmCrypto();
+crypto.generate_key() // 32-byte key
+crypto.encrypt(key, plaintext) // AES-256-GCM
+crypto.decrypt(key, ciphertext) // Decrypt
+```
-### 6. Decentralized Marketplaces
-AI agents negotiate, bid, and transact directly with cryptographic verification and no middleman.
+### WasmHnswIndex
+```javascript
+const index = new WasmHnswIndex(dims, m, ef);
+index.insert(id, Float32Array) // Add vector
+index.search(query, k) // Find k nearest
+index.len() // Count
+```
+
+### WasmSemanticMatcher
+```javascript
+const matcher = new WasmSemanticMatcher();
+matcher.register_agent(id, capabilities)
+matcher.find_best_agent(task)
+matcher.agent_count()
+```
+
+### WasmRaftNode
+```javascript
+const raft = new WasmRaftNode(id, members);
+raft.start_election() // Become candidate
+raft.receive_vote(bool) // Handle vote
+raft.state() // "follower"|"candidate"|"leader"
+raft.current_term() // Raft term number
+```
+
+### WasmHybridKeyPair
+```javascript
+const keys = WasmHybridKeyPair.generate();
+keys.sign(message) // Post-quantum signature
+keys.verify(signature) // Verify
+keys.public_key_bytes() // Export
+```
+
+### WasmSpikingNetwork
+```javascript
+const net = new WasmSpikingNetwork(in, hidden, out);
+net.forward(spikes) // Process
+net.stdp_update(pre, post, lr) // Learn
+net.reset() // Reset state
+```
+
+### WasmQuantizer
+```javascript
+const q = new WasmQuantizer();
+q.quantize(Float32Array) // 4x compression
+q.reconstruct(Uint8Array) // Restore
+```
+
+### WasmAdaptiveCompressor
+```javascript
+const comp = new WasmAdaptiveCompressor();
+comp.update_metrics(bandwidth, latency)
+comp.compress(data)
+comp.decompress(data)
+comp.condition() // "excellent"|"good"|"poor"|"critical"
+```
+
+---
## Performance
@@ -305,71 +827,24 @@ AI agents negotiate, bid, and transact directly with cryptographic verification
| Identity generation | 0.5ms | Ed25519 keypair |
| Sign message | 0.02ms | 50,000 ops/sec |
| AES-256-GCM encrypt | 1GB/sec | Hardware accelerated |
-| HNSW search (10K vectors) | 0.1ms | 150x faster than brute force |
-| Semantic match | 0.5ms | LSH-based routing |
-| Raft election | 1ms | Leader in single round-trip |
-| Quantization | 100M floats/sec | 4x bandwidth reduction |
+| HNSW search (10K vectors) | 0.1ms | 150x faster than brute |
+| Semantic match | 0.5ms | LSH-based |
+| Raft election | 1ms | Single round-trip |
+| Quantization | 100M floats/sec | 4x compression |
+| WASM load | ~50ms | 364KB binary |
+
+---
## Security
-- **Ed25519** - State-of-the-art elliptic curve signatures
+- **Ed25519** - Elliptic curve signatures (128-bit security)
- **X25519** - Secure key exchange
- **AES-256-GCM** - Authenticated encryption
-- **Post-Quantum Hybrid** - Future-proof against quantum attacks
-- **Zero-Trust** - Verify everything, trust nothing
-- **Replay Protection** - Nonces and timestamps prevent replay attacks
+- **Post-Quantum Hybrid** - Ed25519 + Dilithium-style
+- **Zero-Trust** - Verify all messages
+- **Replay Protection** - Nonces and timestamps
-## Comparison with Cloud Alternatives
-
-| Capability | @ruvector/edge | OpenAI Swarm | LangChain Agents | AutoGPT |
-|------------|---------------|--------------|------------------|---------|
-| **Cost** | Free | Pay per token | Pay per token | Pay per token |
-| **Runs offline** | Yes | No | No | No |
-| **Browser native** | Yes | No | No | No |
-| **P2P communication** | Yes | No | No | No |
-| **Post-quantum crypto** | Yes | No | No | No |
-| **Vector search built-in** | Yes | No | Requires Pinecone | Requires external |
-| **Consensus protocol** | Yes (Raft) | No | No | No |
-| **Data privacy** | 100% local | Cloud processed | Cloud processed | Cloud processed |
-| **Bundle size** | 364KB | N/A | 50MB+ | 100MB+ |
-
-## Integration with agentic-flow
-
-```javascript
-import { AgenticFlow } from 'agentic-flow';
-import init, { WasmIdentity, WasmSemanticMatcher } from '@ruvector/edge';
-
-await init();
-
-const flow = new AgenticFlow({
- identity: WasmIdentity.generate(),
- matcher: new WasmSemanticMatcher(),
- // Your agents now run entirely on the edge
-});
-
-flow.registerAgent('coder', 'typescript rust python programming');
-flow.registerAgent('researcher', 'search analyze summarize documents');
-
-// Route tasks intelligently - zero API calls
-const result = await flow.execute('Write a TypeScript function');
-```
-
-## Building from Source
-
-```bash
-# Clone repository
-git clone https://github.com/ruvnet/ruvector
-cd ruvector/examples/edge
-
-# Build WASM
-wasm-pack build --target web --release --no-default-features --features wasm
-
-# Build native (for benchmarking/testing)
-cargo build --release --features native
-
-# Run tests
-cargo test --features native
-```
+---
## License
@@ -377,6 +852,13 @@ MIT License - Free for commercial and personal use.
---
+## Next Steps
+
+1. **Install:** `npm install @ruvector/edge`
+2. **Try the tutorial:** Build your first swarm
+3. **Choose transport:** Start with GUN.js
+4. **Scale:** Add more agents as needed
+
**Stop paying for cloud AI. Start running free edge swarms.**
[GitHub](https://github.com/ruvnet/ruvector) | [npm](https://www.npmjs.com/package/@ruvector/edge) | [Issues](https://github.com/ruvnet/ruvector/issues)
diff --git a/examples/edge/pkg/package.json b/examples/edge/pkg/package.json
index 901c56f2..7fd89a0e 100644
--- a/examples/edge/pkg/package.json
+++ b/examples/edge/pkg/package.json
@@ -1,6 +1,6 @@
{
"name": "@ruvector/edge",
- "version": "0.1.1",
+ "version": "0.1.2",
"type": "module",
"description": "WASM bindings for RuVector Edge - Distributed AI swarm with post-quantum crypto, HNSW vector search, and neural networks",
"main": "ruvector_edge.js",