v3.0.0 — Multi-Agent Orchestration Framework

[Jovancoding]

What's New

Network-AI is a framework-agnostic orchestration layer for multi-agent AI systems. It provides a shared blackboard with concurrency control, trust-based security, and adapters for 12 agent frameworks — so your agents coordinate safely without stepping on each other.

12 Framework Adapters

Connect agents from any framework through a unified interface:

• LangChain, CrewAI, AutoGen, OpenClaw
• MCP (Model Context Protocol), Custom agents
• LlamaIndex, Semantic Kernel, Haystack
• DSPy, Camel, MetaGPT

Security & Trust

• AuthGuardian — token-based authentication with role-based access control
• Trust levels — 5-tier trust system (untrusted through admin) with granular permissions
• Lock-based concurrency — pessimistic locking with 10s timeout, stale detection, conflict resolution

Quality Gate

• 251 tests across 3 suites (core, adapters, security)
• Zero compile errors, strict TypeScript
• Performance benchmarked: <1ms lock acquisition, <0.5ms blackboard reads

Blackboard Architecture

• Shared state with JSON-patch conflict detection
• Section-level locking (agents only block what they touch)
• Version tracking and rollback support
• 5-minute token TTL with automatic expiry

Getting Started

npm install network-ai

import { LockedBlackboard } from 'network-ai';

const board = new LockedBlackboard();
const lock = board.acquireLock('agent-1', 'planning');
board.write('planning', { goal: 'coordinate' }, lock);
board.releaseLock(lock);

<hr /><em>This discussion was created from the release <a href='https://github.com/jovanSAPFIONEER/Network-AI/releases/tag/v3.0.1'>v3.0.0 — Multi-Agent Orchestration Framework</a>.</em>