Agent-One-Lab/AgentFly

Scalable and extensible reinforcement learning for LM agents.

46
/ 100
Emerging

AgentFly helps AI researchers and developers train large language model (LLM) agents to perform complex, multi-step tasks. You provide a dataset and define specific tools and reward functions, and the system outputs a trained agent capable of using these tools to achieve goals, even with visual or multi-turn interactions. This is ideal for those building sophisticated AI assistants or automated systems.

111 stars.

Use this if you are an AI researcher or developer looking to enhance LLM agents with reinforcement learning, allowing them to make better decisions, use external tools, and handle multi-turn conversations or multimodal inputs.

Not ideal if you are looking for a pre-trained, ready-to-deploy LLM agent solution or if you lack experience in machine learning and agent development.

LLM-agent-development reinforcement-learning AI-research multi-modal-AI tool-use-training
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 15 / 25
Community 12 / 25

How are scores calculated?

Stars

111

Forks

10

Language

Python

License

Apache-2.0

Last pushed

Mar 12, 2026

Commits (30d)

0

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