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ariunbolor

nsaf-mcp-server

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The Neuro-Symbolic Autonomy Framework integrates neural, symbolic, and autonomous learning methods into a single, continuously evolving AI agent-building system. This prototype demonstrates the SCMA component, which enables AI agents to self-design new AI agents using Generative Architecture Models.

1 stars PythonAI & Machine Learning Updated Jul 5, 2025
agentaibndagentsneural-networksymbolic-computation

No README could be loaded. View the project on GitHub for full documentation.

Frequently asked questions

What is nsaf-mcp-server?

nsaf-mcp-server is The Neuro-Symbolic Autonomy Framework integrates neural, symbolic, and autonomous learning methods into a single, continuously evolving AI agent-building system. This prototype demonstrates the SCMA component, which enables AI agents to self-design new AI agents using Generative Architecture Models.

How do I install nsaf-mcp-server?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is nsaf-mcp-server open source?

Yes — it is hosted on GitHub at https://github.com/ariunbolor/nsaf-mcp-server and has 1 stars.

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