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Network Ai

@jovanSAPFIONEER

代码仓库

关于 Network Ai

Multi-agent orchestration MCP server with atomic shared blackboard, FSM governance, per-agent budget enforcement, and adapters for 12 AI frameworks including LangChain, AutoGen, CrewAI, and OpenAI Assistants.

#multi-agent#orchestration#blackboard#langchain#autogen

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

jovanSAPFIONEER

提交者

Jovan Marinovic

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "network-ai": {
      "command": "npx",
      "args": [
        "-y",
        "network-ai-server",
        "--port",
        "3001"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Network Ai?

Network Ai is a multi-agent orchestration framework for TypeScript/Node.js, featuring an atomic shared blackboard, FSM governance, per-agent budget enforcement, and cryptographic audit trails. It integrates with 12 framework adapters (e.g., LangChain, AutoGen, CrewAI) and provides over 20 MCP tools over SSE/JSON-RPC 2.0.

How to use Network Ai?

Run npx network-ai-server --port 3001 to start the MCP server with the built-in tools.

Key features of Network Ai

  • Atomic shared blackboard prevents race conditions
  • FSM governance over agent transitions
  • Per-agent budget enforcement
  • Cryptographic audit trails
  • 12 framework adapters for orchestration
  • 20+ MCP tools over SSE/JSON-RPC 2.0

Use cases of Network Ai

  • Build multi-agent systems with race-free shared memory
  • Govern agent state transitions using finite state machines
  • Enforce spending limits per agent in orchestrated workflows
  • Generate cryptographic proofs of agent interactions
  • Integrate agents across different frameworks (LangChain, AutoGen, etc.)

FAQ from Network Ai

What runtime does Network Ai require?

Node.js with TypeScript support.

How do I start the MCP server?

Run npx network-ai-server --port 3001.

What transports and protocols does it use?

MCP tools are served over SSE and JSON-RPC 2.0.

How many framework adapters are supported?

12 adapters including LangChain, AutoGen, CrewAI, and more.

Does it support cryptographic audit trails?

Yes, it provides cryptographic audit trails for agent interactions.

评论

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