📖 The AI Tool Bible

LangGraph vs mini-SWE-agent

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

 
LangGraph
Agents
mini-SWE-agent
Agents
TaglineStateful, graph-based agent orchestration from LangChain.A 100-line open-source coding agent that scores 74%+ on SWE-bench Verified.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFree· Free and open source (Apache 2.0); you pay only for the underlying LLM tokens.
ModelBYO (Claude / GPT / open)Multi-model (via litellm, OpenRouter, Portkey)
Editorial score8.8 / 10—
Use cases
stateful agentshuman-in-loopproduction
swe-bench-evaluationautonomous-codingagent-researchbatch-inferenceagent-baseline
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • Roughly 100 lines of Python — trivially readable and hackable
  • Scores 74%+ on SWE-bench Verified despite the minimal design
  • Model-agnostic via litellm, OpenRouter, and Portkey
  • Sandbox-friendly: Docker, Podman, Singularity, Bubblewrap, local
  • Apache 2.0; backed by the SWE-bench and SWE-agent authors
Cons
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • No GUI, IDE integration, or hosted product
  • Bash-only tool surface — no built-in browser, search, or planning tools
  • You build your own ops layer (logging, cost caps, retries)
  • Aimed at researchers more than day-to-day end users
Websitewww.langchain.commini-swe-agent.com
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
Pick mini-SWE-agent if
  • ✅ Roughly 100 lines of Python — trivially readable and hackable
  • ✅ Scores 74%+ on SWE-bench Verified despite the minimal design
  • ✅ Model-agnostic via litellm, OpenRouter, and Portkey
  • ✅ Sandbox-friendly: Docker, Podman, Singularity, Bubblewrap, local
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