AgentFlow
AgentFlow is a trainable, tool-integrated agent framework designed to address the scalability and generalization limitations of current tool-augmented reasoning methods.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.9k
- Source
- GitHub
- Added
- 2026-06-07
- Last verified
- 2026-06-07
Overview
AgentFlow is a trainable, tool-integrated agent framework aimed at overcoming the scalability and generalization challenges in existing tool-augmented reasoning approaches. It achieves more effective planning and tool utilization by introducing four specialized modules: planner, executor, verifier, and generator. The framework employs online optimization to directly refine the planning agent within the system, thereby enhancing the reliability of tool calls and long-horizon reasoning capabilities across diverse domains.
Key features
- ▪Trainable tool-integrated agent framework
- ▪Four specialized modules working in coordination
- ▪Online optimization of planning agents
- ▪Improved tool call reliability
- ▪Enhanced long-horizon reasoning capability
Use cases
Pros
- +Modular design offers flexibility
- +Online optimization is efficient
- +Improves reasoning performance
Limitations / notes
- -Requires some technical background
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
What are the main features of AgentFlow?
AgentFlow enables efficient planning and tool usage through its four specialized modules, improving overall reasoning performance.
How can I use AgentFlow?
You can explore it via the Gradio demo or access the model and paper on HuggingFace.
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