ReCall

by Agent-RL · Agent Tool · ★ 1.3k

About ReCall

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

agentfunction-callingllmreinforcement-learningtool-use

Quick Facts

Stars1,339
Forks79
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score43.75/100
Open Issues30
Last Updated2025-05-16
Created2025-03-03
Platformspython
Est. Tokens~267k

Compatible Skills

These tools work well together with ReCall for enhanced workflows:

  • MetaClaw — semantic(0.46)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • ToolBrain — semantic(0.60)+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • agentic-context-engine — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • doc-to-lora — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • appworld — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is ReCall?

ReCall is ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning. It is categorized as a Agent Tool with 1.3k GitHub stars.

What programming language is ReCall written in?

ReCall is primarily written in Python. It covers topics such as agent, function-calling, llm.

How do I install or use ReCall?

You can find installation instructions and usage details in the ReCall GitHub repository at github.com/Agent-RL/ReCall. The project has 1.3k stars and 79 forks, indicating an active community.

What license does ReCall use?

ReCall is released under the MIT license, making it free to use and modify according to the license terms.

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