📖 The AI Tool Bible

AgentMemory vs CrewAI

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
AgentMemory
Agents
CrewAI
Agents
TaglineOpen-source persistent memory runtime for AI coding agents, with hybrid retrieval and zero external dependencies.Python framework for multi-agent orchestration.
CategoryAgentsAgents
PricingFree· Free, open-source (Apache 2.0); bring your own LLM API keyFreemium· Free open-source core; cloud platform paid
ModelMulti-model (Claude, Gemini, MiniMax, OpenRouter)BYO (Claude / GPT / open)
Editorial score—8.4 / 10
Use cases
agent-memorycoding-agentscontext-managementknowledge-graphmcp-server
multi-agentorchestrationPython
Pros
  • Zero external infrastructure: single Node process, JSON on disk
  • Triple-stream retrieval (BM25 + vectors + graph) with sub-20ms recall
  • Native plugins for Claude Code, Cursor, Cline, Windsurf, and 15+ agents
  • Apache 2.0, runs on your existing LLM subscription
  • Strong benchmark numbers (95.2% R@5 on LongMemEval-S)
  • Clean Python API
  • Strong role/goal abstractions
  • Active community
  • Hosted platform for deployment
Cons
  • Pre-1.0 (v0.9.27), expect breaking changes
  • Single-process JSON storage may not scale to team-wide deployments
  • Self-hosted only; you operate the runtime
  • Effectiveness depends on the LLM provider you wire in
  • Production observability still maturing
  • Debugging multi-agent flows is hard
Websiteagent-memory.devwww.crewai.com
Pick AgentMemory if
  • ✅ Zero external infrastructure: single Node process, JSON on disk
  • ✅ Triple-stream retrieval (BM25 + vectors + graph) with sub-20ms recall
  • ✅ Native plugins for Claude Code, Cursor, Cline, Windsurf, and 15+ agents
  • ✅ Apache 2.0, runs on your existing LLM subscription
Pick CrewAI if
  • ✅ Clean Python API
  • ✅ Strong role/goal abstractions
  • ✅ Active community
  • ✅ Hosted platform for deployment
Compare a different pair →