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Best Agent Frameworks

Compare the top agent frameworks tools. Find the right one for your project.

LangChain

Notable Features

Chains & agents LangGraph & streaming Memory & retrieval integration Extensive tool library

Strengths

  • + Large ecosystem & plugins
  • + Modular chains, agents & tools
  • + Memory & callback support
  • + LLM-agnostic & open-source
  • + Vibrant community

Considerations

  • - Complex to learn & configure
  • - Can be heavyweight
  • - Potential overkill for simple tasks
  • - Rapidly evolving API

LlamaIndex

Notable Features

Data-centric RAG pipeline LlamaParse & connectors Index & query abstractions Event-driven workflows

Strengths

  • + Rich data connectors via LlamaHub
  • + Multiple index types (vector/tree/list/keyword)
  • + Query & chat engines
  • + Advanced parsing with LlamaParse
  • + Supports agents & workflows

Considerations

  • - Smaller community
  • - Complex customization for advanced use cases
  • - Less plug‑and‑play than LangChain
  • - Rapid changes in API

CrewAI

Notable Features

Crew planner DSL Role and task definitions Tool plugin library Async execution support

Strengths

  • + Declarative multi-agent workflows
  • + Task routing and role assignment
  • + Built-in memory and tool integrations
  • + Supports OpenAI and OSS models
  • + MIT-licensed open source

Considerations

  • - Python-only today
  • - Requires orchestration expertise
  • - Limited enterprise SLAs
  • - API surface still evolving

AutoGen

Notable Features

Agent group chat APIs Memory and knowledge base modules Runtime adapters for many LLMs Async streaming and callbacks

Strengths

  • + Flexible multi-agent orchestration
  • + Rich tool and function calling support
  • + Supports human-in-the-loop supervision
  • + Works with Azure OpenAI and OSS models
  • + Microsoft-backed open source

Considerations

  • - Configuration complexity
  • - Heavy dependency footprint
  • - Verbose debugging output
  • - Requires Python runtime

Popular Comparisons

langchain vs llamaindex

LangChain shines with its huge ecosystem of tools and patterns, while LlamaIndex excels at data-centric retrieval and simpler RAG pipelines.

Read comparison

crew ai vs autogen

CrewAI offers a lightweight DSL for orchestrating multi-agent crews, while AutoGen provides a fuller-featured, Microsoft-backed framework for complex agent conversations.

Read comparison

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