Shypd.aiThe largest open index of AI toolsAgent_Foundation_Models is an academic research tool that introduces Chain-of-Agents, a novel paradigm for LLM reasoning. It enables end-to-end complex problem-solving within a single model by simulating multi-agent collaboration.
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Agent_Foundation_Models is the official repository for the paper "Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL" by OPPO PersonalAI Lab. This project presents a groundbreaking approach to large language model (LLM) reasoning, allowing a single model to tackle complex problems by dynamically activating tool agents and role-playing agents. The core innovation is the Chain-of-Agents (CoA) paradigm, which facilitates end-to-end problem-solving, and the Agent Foundation Model (AFM), trained using a multi-agent distillation framework and agentic reinforcement learning. The repository provides open-source data, models, and training/inference code to ensure reproducibility, demonstrating state-of-the-art performance across various benchmarks like GAIA, BrowseComp, WebWalker, and HLE. It supports capabilities such as web interaction, multi-hop question answering, and code execution, integrated with secure sandboxes and configurable multi-tool collaboration.
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