Agent Framework Comparison

Interactive comparison of popular agent frameworks. Click headers to sort, use filters to narrow results.

Framework ↕ Category ↕ Language ↕ State Mgmt ↕ Multi-Agent ↕ Learning Curve ↕
LangGraph Single Agent Python, JS Excellent Limited Medium
AutoGen Multi-Agent Python Good Excellent Medium
CrewAI Multi-Agent Python Basic Excellent Easy
MetaGPT Multi-Agent Python Good Excellent Hard
Semantic Kernel Single Agent C#, Python Good Limited Medium
LlamaIndex RAG Python Basic Limited Easy
Haystack RAG Python Good Limited Medium
TaskWeaver Single Agent Python Good Limited Medium

RAG Strategy Comparison

Strategy When to Use Pros Cons
Naive RAG Simple Q&A Simple, fast Limited accuracy
Self-RAG Quality-critical Self-correcting Token overhead
CRAG Noisy data Robust Extra retrieval
GraphRAG Complex queries Global context Build time
RAPTOR Hierarchical docs Multi-level Memory usage

Benchmark Comparison

Benchmark Focus Tasks Human Baseline
AgentBench General 8 environments Partial
SWE-bench Coding GitHub issues Yes
WebArena Web 812 tasks Yes
GAIA General 466 tasks Yes
OSWorld Desktop 369 tasks Yes

Selection Guide

Choose LangGraph if:

  • You need fine-grained control over agent flow
  • State persistence and checkpointing are important
  • You’re building production systems

Choose AutoGen if:

  • Multi-agent collaboration is the focus
  • You want conversation-based agents
  • Code execution is needed

Choose CrewAI if:

  • You want role-based agent teams
  • Quick prototyping is priority
  • Simple setup is important

Choose LlamaIndex if:

  • RAG is your primary use case
  • You need document processing
  • Integration with vector stores is key

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