TIGER-AI-Lab/verl-tool

A version of verl to support diverse tool use

53
/ 100
Established

This project helps AI developers build, train, and evaluate intelligent agents that can effectively use external tools to complete tasks. It takes your agent's code and definitions of available tools, then provides a robust framework to train the agent to select and interact with these tools. The output is a well-trained agent capable of complex, multi-step problem-solving using its integrated tools. This is for AI researchers and engineers developing sophisticated tool-using AI models.

904 stars.

Use this if you are developing AI agents that need to interact with various external tools to solve problems and require a dedicated framework for training and evaluation.

Not ideal if you are looking for an off-the-shelf AI agent for end-user tasks, rather than a development framework for building agents.

AI Agent Development Reinforcement Learning Tool-Using AI Large Language Models Agent Training
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

904

Forks

75

Language

Python

License

MIT

Last pushed

Mar 02, 2026

Commits (30d)

0

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