zoe-yyx/AgentNet
[NIPS2025] A decentralized, RAG-enhanced multi-agent framework for LLMs with dynamic task routing and agent evolution.
This framework helps AI researchers and system architects build advanced AI systems where multiple large language models (LLMs) need to work together on complex tasks without a central boss. It takes individual LLMs and connects them into a smart, evolving network where each LLM learns and makes its own decisions. The output is a more robust and adaptable multi-agent AI system that can handle dynamic challenges.
No commits in the last 6 months.
Use this if you need to create fault-tolerant, adaptive AI systems where LLMs collaborate on evolving tasks, and you want to avoid single points of failure or rigid, predefined workflows.
Not ideal if your AI application requires a simple, static workflow with predictable tasks and a centralized control structure is acceptable.
Stars
36
Forks
3
Language
Python
License
—
Category
Last pushed
Oct 02, 2025
Commits (30d)
0
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