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PocketFlow

8,744
984
Python

Project Description

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

PocketFlow: Pocket Flow: 100-line LLM framework. Let Agents build Agents!

PocketFlow — 100-line minimalist LLM framework for AI Agents

Overview

PocketFlow is a minimalist LLM (Large Language Model) framework that emphasizes simplicity and efficiency. It is designed to be lightweight, with only 100 lines of code, and offers expressive capabilities such as multi-agents, workflow, and RAG. The framework enables developers to build AI agents that can create other agents, potentially boosting productivity by 10x.

Key Features

  • Lightweight: 100 lines of code with zero dependencies and zero vendor lock-in.
  • Expressive: Supports multi-agents, workflow, RAG, and more.
  • Agentic Coding: Enables AI Agents to build other agents, enhancing productivity.

Use Cases

  • AI Development: Developers can use PocketFlow to create AI agents that build other agents, streamlining development processes.
  • Productivity Enhancement: By allowing AI to build AI, PocketFlow can significantly reduce development time and increase productivity.
  • Educational Purposes: PocketFlow's simplicity makes it an excellent tool for teaching the fundamentals of LLM frameworks.

Advantages

  • Simplicity: The minimalist design makes it easy to understand and use.
  • Flexibility: Supports a variety of design patterns and can be adapted to various applications.
  • Community: Active Discord community for support and collaboration.

Limitations / Considerations

  • Limited Documentation: As a minimalist framework, detailed documentation might be sparse compared to more comprehensive solutions.
  • Advanced Features: May lack some advanced features found in more complex LLM frameworks.

Similar / Related Projects

  • LangChain: Offers a more comprehensive set of abstractions and app-specific wrappers but is more complex and larger in size.
  • OpenAI: Provides a wide range of AI services but is not a minimalist framework like PocketFlow.
  • Hugging Face Transformers: A library of pre-trained models that can be used for a variety of NLP tasks, but it is not as minimalist as PocketFlow.

Basic Information


📊 Project Information

🏷️ Project Topics

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📚 Documentation

  • [Docs

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Project Information

Created on 12/24/2024
Updated on 10/31/2025