Agent Frameworks

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An Agent framework is a layer on top of an LLM to make said LLM execute actions (like browse the web or read PDF documents), and organize its operations in a series of steps.

• Blogs
  • Are Agentic Frameworks an Overkill?

• OpenAI AgentKit
  • Introducing AgentKit
  • A visual workflow builder, a connector registry for governance, a drop-in chat UI kit, stronger evals, and reinforcement fine-tuning options. Built to replace fragmented orchestration, manual evals, and ad-hoc frontends with versioned, production-ready components.
• autogen
  • AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
  • Github: microsoft/autogen
    • 53.5K stars
• agno
  • Agno is a lightweight library for building Agents with memory, knowledge, tools and reasoning.
  • Github: agno-agi/agno
    • 25.2K stars
• smolagents
  • A minimalistic framework by Hugging Face that implements agents using code actions
  • Github: huggingface/smolagents
    • 24.9K stars
• LangGraph
  • A framework for defining agentic workflows through graphs by LangChain creators
  • Github: langchain-ai/langgraph
    • 10.1K stars
• OpenAI Agents SDK
  • A lightweight, easy-to-use package with very few abstractions for building AI apps
  • Github: openai/openai-agents-python
    • 6.6K stars
• PydanticAI
  • An agent framework designed to make it less painful to build production grade applications with Generative AI.
  • Github: pydantic/pydantic-ai
    • 7.3K stars
• NVIDIA AgentIQ
  • The core principle of this library is every agent, tool, and agentic workflow exists as a function call - enabling composability between these agents, tools, and workflows.
    • Library additionally provides chatting UI, evaluation system, profiling and much more
  • Github: NVIDIA/AgentIQ
    • 1.7 stars
• Camel-AI
  • Multi-agent framework focused more on the research? I did not explore this framework.
  • Github: camel-ai/camel
    • 10K stars

Source: How to think about agent frameworks