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AgentFlow

AgentFlow is a trainable, tool-integrated agent framework designed to address the scalability and generalization limitations of current tool-augmented reasoning methods.

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Platforms: WebSelf-hosted
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

Complex problem solvingMulti-step task processingCross-domain reasoning applications

Pros

  • Modular design offers flexibility
  • Online optimization is efficient
  • Improves reasoning performance

Limitations / notes

  • Requires some technical background

Who it's for

ResearchersDevelopersData scientists

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.

Similar agents

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