TsinghuaC3I/MARTI

A Framework for LLM-based Multi-Agent Reinforced Training and Inference

52
/ 100
Established

MARTI is a framework for advanced AI developers, researchers, and engineers building multi-agent systems with Large Language Models (LLMs). It helps orchestrate multiple LLMs to collaborate on complex tasks, like code generation, by simulating their interactions and refining their strategies through reinforcement learning. Users can input a task or problem, define the roles and interactions for multiple LLM agents, and receive improved, collaboratively generated outputs.

453 stars.

Use this if you are developing or researching complex AI systems that require multiple LLMs to work together, explore solution spaces, and refine their reasoning through trial and error.

Not ideal if you are looking for an off-the-shelf, ready-to-use application for end-user tasks, or if your AI development needs are limited to single-LLM interactions.

AI-research LLM-development multi-agent-systems reinforcement-learning-engineering code-generation-research
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 17 / 25

How are scores calculated?

Stars

453

Forks

46

Language

Python

License

MIT

Last pushed

Feb 19, 2026

Commits (30d)

0

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