R
ReCall
Agent-RL/ReCall
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
★1.4kstars
Python
MIT
Updated: 1w ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Models category, core strengths: agent/function-calling
Who made it?Maintained by Agent-RL team, 1.4K⭐ on GitHub, #845 out of 3201 in Models
Why does it exist?In the Models space, agent workflows faced efficiency bottlenecks. ReCall was built by Agent-RL to address these function-calling challenges.
What can it do?Key use cases: llm, reinforcement-learning, tool-use
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/Agent-RL/ReCall | 官网 https://attractive-almandine-935.notion.site/ReCall-Learning-to-Reason-with-Tool-Call-for-LLMs-via-Reinforcement-Learning-1d7aec91e9bb8006ad40f9edbfe2191a
🔗 github.com/Agent-RL/ReCall | 官网 https://attractive-almandine-935.notion.site/ReCall-Learning-to-Reason-with-Tool-Call-for-LLMs-via-Reinforcement-Learning-1d7aec91e9bb8006ad40f9edbfe2191a
Topics
agentfunction-callingllmreinforcement-learningtool-use