- Deploy TURN server (coturn) on GCE at 34.72.154.225:3478
- Update webrtc.js with self-hosted TURN as primary
- Add Edge-Net STUN server as primary option
- Update signaling to use Cloud Run Genesis as default
- Deploy dashboard to Cloud Run at edge-net-dashboard
- Bump to v0.4.5
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- Update NativeStats interface to match actual native module exports
- Map training_steps to patternsLearned for API compatibility
- Fix stats() returning undefined values
- Bump version to 0.2.4
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## Task Execution System (NEW)
- Created task-execution-handler.js with TaskExecutionHandler class
- Tasks broadcast via signals are now ACTUALLY executed by receiving nodes
- Results sent back via 'task-result' signaling
- TaskValidator for security (signature verification, capability matching)
- DistributedTaskNetwork for easy integration
## Genesis Node Deployment (FIXED)
- Fixed port sharing for Cloud Run (WebSocket + HTTP on same port)
- Deployed to: https://edge-net-genesis-875130704813.us-central1.run.app
- WebSocket verified working
- Health endpoints working
## Multi-Tenancy (VERIFIED)
- 3+ nodes discover each other
- Task broadcast works
- Signaling (offer/answer/ICE) works
## Tests Added
- tests/multitenancy-test.js
- tests/task-execution-test.js
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add networks.js with NetworkGenesis, NetworkRegistry, and MultiNetworkManager
- Support for public, private (invite-only), and consortium networks
- Each network has its own genesis block, QDAG ledger, and peer registry
- Network IDs derived from genesis hash for tamper-evident identity
- Invite code generation for private networks with base64url encoding
New CLI options:
--networks List all known networks
--discover Discover available networks
--create-network Create a new network with custom name/type
--network-type Set network type (public/private/consortium)
--switch Switch active network for contributions
--invite Provide invite code for private networks
Security features:
- Network isolation with separate storage per network
- Cryptographic network identity from genesis hash
- Invite codes for access control on private networks
- Ed25519 signatures for network announcements
Well-known networks:
- mainnet: Primary public compute network
- testnet: Testing and development network
- Add network.js with peer discovery, QDAG contribution ledger, and
contribution verification protocol
- Add join.html for browser-based network joining with Web Crypto API
- Update join.js with NetworkManager integration for QDAG recording
- Add --peers and --network commands for network status viewing
- Update package.json with new files and scripts
The QDAG (Quantum DAG) ledger provides:
- Contribution recording with parent selection for DAG structure
- Weight-based confirmation (3 confirmations for finality)
- Peer-to-peer synchronization support (simulated in local mode)
- Contributor statistics and network-wide metrics
The browser join page provides:
- WASM-based Pi-Key identity generation
- PBKDF2 + AES-256-GCM encrypted identity backup/restore
- Real-time contribution tracking and credit display
- localStorage persistence for cross-session identity
- Implement PersistentIdentity class for months/years persistence
- Store identities in ~/.ruvector/identities with encrypted backup
- Track contribution history in ~/.ruvector/contributions
- Add --list command to show all stored identities
- Add --history command to show contribution milestones
- Auto-restore identities across sessions
- Track "return after absence" milestones (>30 days)
- Session tracking with timestamps
- Add multi-contributor-test.js for network simulation
- All contributions preserved indefinitely
- Add join.js CLI for joining EdgeNet with public key identity
- Support generating new Pi-Key identities with Ed25519 signing
- Enable encrypted identity export/import (Argon2id + AES-256-GCM)
- Add multi-contributor demonstration and cross-verification
- Update main CLI to include join command
- Fix test file syntax errors and assertion bounds
- All 186 Rust tests pass, WASM module fully functional
- Add EdgeNet service with real WASM module initialization from CDN
- Add PiKey cryptographic identity store with Ed25519 signatures
- Add IndexedDB persistence for credits, tasks, and settings
- Add ConsentWidget for CPU/GPU contribution with settings modal
- Add IdentityPanel for crypto identity management
- Add DocumentationPanel with comprehensive user guide
- Add SpecializedNetworks component for network communities
- Deploy Edge-Net Genesis Relay to Google Cloud Run with security:
- Origin validation (CORS whitelist)
- Rate limiting (100 msgs/min per node)
- Message size limits (64KB)
- Connection timeout (30s heartbeat)
- Max 5 connections per IP
- Update Header with Edge-Net branding
- Update Sidebar with Docs tab
- Update networkStore to use real WASM stats
- Configure dashboard to connect to Genesis relay
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Build dual WASM targets (web + nodejs) for universal compatibility
- Add Node.js polyfills for web APIs (crypto, performance, window, document)
- Create universal entry point with auto-detection of environment
- Update CLI with comprehensive benchmark, demo, and info commands
- Fix ESM/CJS compatibility with .cjs extension for Node.js module
- Package includes both browser and Node.js WASM binaries
Published to npm as @ruvector/edge-net v0.1.1
Package: 885.4 kB compressed, 3.2 MB unpacked
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Implement comprehensive tests for adaptive learning mechanisms including MicroLoRA and SONA in learning_tests.rs.
- Introduce tests for bio-inspired neural components such as HDC, BTSP, and Spiking Neural Networks in nervous_system_tests.rs.
- Create common utilities for random vector generation, vector assertions, and softmax calculations in mod.rs.
- Ensure all tests validate expected behaviors and maintain numerical stability.
Four attention mechanisms answering fundamental questions:
- Neural Attention: What words/tokens matter?
- DAG Attention: What computational steps matter?
- Graph Attention: What relationships matter?
- State Space: What history still matters?
Includes:
- dag_attention.rs: Critical path analysis, topological ordering
- attention_unified.rs: Unified interface composing all 4 types
- Updated mod.rs architecture diagram
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- Enable capabilities module with pub export
- Add compute/ module with SIMD, WebGPU, WebGL backends
- Add ai/ module with attention, router, federated learning, LoRA
- Streamline WASM API for Time Crystal, NAO, MicroLoRA, HDC, WTA, BTSP
- Add Global Workspace and Morphogenetic network support
- Add learning scenarios for error recovery and file sequences
- Add swarm collective intelligence and consensus modules
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Critical security fixes before production deployment:
1. Argon2id PBKDF in pikey/mod.rs (replaces SHA-256)
- Memory-hard KDF with 64MB memory, 3 iterations
- Version 0x02 format with salt, backward compatible with v1
- Secure zeroization of key material
2. Ed25519 signature verification in rac/mod.rs
- Real cryptographic verification for authority resolutions
- ScopedAuthority::sign_resolution() helper for signing
- Canonical message format for verification
3. Password-protected key export in identity/mod.rs
- export_secret_key now requires 8+ character password
- AES-256-GCM encryption with Argon2id-derived key
- import_secret_key for secure recovery
Dependencies added:
- argon2 v0.5 (memory-hard KDF)
- zeroize v1.7 (secure memory cleanup)
Test coverage:
- 125 tests passing (40 lib + 85 integration)
- Updated adversarial tests with real Ed25519 signatures
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
## Learning Module (src/learning/mod.rs)
- ReasoningBank for pattern storage with similarity lookup and pruning
- TrajectoryTracker ring buffer for task execution tracking
- Spike-driven attention for 87x energy efficiency (based on Yao et al.)
- Multi-head attention for distributed task routing
- NetworkLearning unified interface for edge nodes
## RAC Module (src/rac/mod.rs) - Adversarial Coherence Thesis
Implements the 12 axioms for browser-scale adversarial truth maintenance:
1. Connectivity is not truth
2. Everything is an event
3. No destructive edits (deprecation only)
4. Every claim is scoped
5. Semantics drift is expected
6. Disagreement is signal
7. Authority is scoped, not global
8. Witnesses matter
9. Quarantine is mandatory
10. All decisions are replayable
11. Equivocation is detectable
12. Local learning is allowed
Core components:
- Append-only Merkle event log for tamper-evident history
- CoherenceEngine for conflict detection and resolution
- QuarantineManager for contested claims
- Authority policy and verifier traits
- Decision traces for audit and replay
## Integration
- Learning and RAC integrated into EdgeNetNode
- 28 tests pass (13 new tests for learning/RAC)
References:
- FLP Impossibility (MIT CSAIL)
- PBFT Byzantine Fault Tolerance
- CRDTs (Lip6)
- RFC 6962 Certificate Transparency
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Updated README to focus on research and simulation aspects:
- Renamed to 'Artificial Life Simulation'
- Cells instead of nodes terminology
- Energy system instead of cryptocurrency
- Clear disclaimer: NOT a financial product
- Research goals and applications
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
