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The AgentFly MCP server was last committed 1mo ago and has 8 contributors. Issue health: 0% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

AgentFly MCP Server

Name: Agent-One-Lab/AgentFly
Rating: 3.1 (1 reviews)
Author: Agent-One-Lab

Agent-One-Lab/AgentFly

Score: 52.3 Rank #15038 Agent Framework

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Scalable and extensible reinforcement learning for LM agents.

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Overview

Agent-One-Lab/AgentFly is a Python tool licensed under Apache-2.0. Scalable and extensible reinforcement learning for LM agents. Topics: agent, framework, nlp, reinforcement-learning, rl, system, training, agent-rl, agentrl, agentic, chat-template, llm, mcp, multi-modal, reasoning, reward, tool, tool-use, vision-language, agentfly.

Ranked #15038 out of 24846 indexed tools.

Ecosystem

Python Apache-2.0

agentframeworknlpreinforcement-learningrlsystemtrainingagent-rlagentrlagenticchat-templatellmmcpmulti-modalreasoningrewardtooltool-usevision-languageagentfly

Score Breakdown

Stars 15% 122

122 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 8

8 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 14

Description Good

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 55 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 1 open vs 0 closed issues — triaging stale issues improves health

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Markdown

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Details

Stars: 122
Forks: 14
Open Issues: 1
Closed Issues: 0
Contributors: 8
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

# 🪽AgentFly: Training scalable LLM agents with RL (multi-turn, async tools/rewards, multimodal)

<p align="center">
<a href="https://arxiv.org/pdf/2507.14897" target="_blank"></a>
<a href="https://agentfly.readthedocs.io/" target="_blank"></a>
<a href="https://wandb.ai/AgentRL/Open" target="_blank"></a>
<a href="https://huggingface.co/collections/Agent-One/agentfly-6882061c6cf08537cb66c12b" target="_blank"></a>
<a href="https://github.com/Agent-One-Lab/AgentFly" target="_blank"></a>
</p>
<p align="center">
<a href="https://agent-one-lab.github.io/assets/agentfly/wechat.jpg" target="_blank"></a>
<a href="https://discord.gg/Ze5Z9QhhJ3" target="_blank"></a>
</p>
<p align="center">

<br>

<br>

</p>

AgentFly is an extensible framework for building LLM agents with reinforcement learning. It supports multi-turn training by adapting traditional RL methods with token-level masking. It features a decorator-based interface for defining tools and reward functions, enabling seamless extension an

Read full README on GitHub →