📖 The AI Tool Bible

Count vs LangGraph

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

 
Count
Agents
LangGraph
Agents
TaglineCollaborative AI-powered data canvas that blends SQL, Python, and natural-language agents for team analytics.Stateful, graph-based agent orchestration from LangChain.
CategoryAgentsAgents
PricingFreemium· Free; Pro $49/editor/mo; Scale $69/editor/mo (15-seat min); Enterprise customFreemium· Free open-source; LangGraph Platform paid
ModelMulti-model (Anthropic, OpenAI, Google)BYO (Claude / GPT / open)
Editorial score—8.8 / 10
Use cases
collaborative-analyticsai-data-explorationself-serve-bimetric-modelingsql-notebooks
stateful agentshuman-in-loopproduction
Pros
  • Canvas model keeps AI work auditable rather than locked in chat threads
  • Unlimited viewer seats make org-wide rollout affordable
  • MCP and API support for connecting warehouses and external tools
  • Mixes SQL, Python, and agent prompts in a single workspace
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
Cons
  • Closed source and cloud-only, no self-host option
  • Per-editor pricing escalates quickly for larger analyst teams
  • Scale tier requires a 15-seat minimum commitment
  • Steeper learning curve than CrewAI
  • Verbose to set up
Websitecount.cowww.langchain.com
Pick Count if
  • ✅ Canvas model keeps AI work auditable rather than locked in chat threads
  • ✅ Unlimited viewer seats make org-wide rollout affordable
  • ✅ MCP and API support for connecting warehouses and external tools
  • ✅ Mixes SQL, Python, and agent prompts in a single workspace
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
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