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📖 The AI Tool Bible

CrewAI vs Stele

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

 
CrewAI
Agents
Stele
Agents
TaglinePython framework for multi-agent orchestration.Shared project memory for AI coding agents across Claude Code, Cursor, Codex, and Copilot
CategoryAgentsAgents
PricingFreemium· Basic: Free · Enterprise: CustomFreemium· Free forever plan (unlimited public projects, 1 private project, monthly assistant allowance); paid tiers for additional private projects
ModelBYO (Claude / GPT / open)
Editorial score8.4 / 10
Use cases
multi-agentorchestrationPython
shared memory across AI coding agentscross-tool project context handofftask queue for multi-agent workflowsagent onboarding from an existing codebasetracking failed refactor attemptscoordinating Claude Code and Cursor on one repoMCP-based agent memory backendarchitectural decision log for AI agents
Pros
  • Clean Python API
  • Strong role/goal abstractions
  • Active community
  • Hosted platform for deployment
  • MCP-native, so it works with Claude Code, Cursor, Codex, and Copilot without per-tool adapters
  • One-line CLI install with automatic onboarding from an existing repo
  • Shared task queue prevents two agents from duplicating the same work
  • Graph-based memory captures failed attempts, not just successful ones, so agents stop repeating dead ends
  • Free tier is genuinely usable for solo developers (unlimited public projects, one private)
  • Self-hosted SQLite edition on the roadmap for teams that need local data
  • Export and deletion controls on private project graphs
Cons
  • Production observability still maturing
  • Debugging multi-agent flows is hard
  • Currently hosted-only; the promised self-hosted build is not yet shipped
  • Value depends on running multiple agents or switching tools often, less compelling for single-agent users
  • Shared memory across agents can propagate a bad decision if not curated
  • Early-stage product with limited public track record and small community
  • Private project quota on the free tier is tight for anyone with several client repos
Websitewww.crewai.comstele-ai.dev
Pick CrewAI if
  • Clean Python API
  • Strong role/goal abstractions
  • Active community
  • Hosted platform for deployment
Pick Stele if
  • MCP-native, so it works with Claude Code, Cursor, Codex, and Copilot without per-tool adapters
  • One-line CLI install with automatic onboarding from an existing repo
  • Shared task queue prevents two agents from duplicating the same work
  • Graph-based memory captures failed attempts, not just successful ones, so agents stop repeating dead ends