crewAIInc/crewAI
GitHubFramework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
- Stars:
- 60.5k
- Language:
- Python
- Default branch:
- main
- Last scored:
At a glance
- Rank
- #128 of 401
- Top 32% · #28 of 56 Python repos
- Checks passed
- 9 of 17
- Full list below
- Best set up for
- Claude Code
- Score 78.9
- Needs most work for
- OpenHands
- Biggest fix: Reproducible dev env (+10.0 pts)
What it has
What it's missing
What to fix first
Showing fixes for Claude Code
- 1Reproducible dev envAdd a Makefile or devcontainer or Dockerfile so the agent can set up the project in one command.+11.8 pts
- 2Manageable sizeIf possible, split into smaller modules or carve out a focused entry path. Document where to start in AGENTS.md.+5.3 pts
- 3Test suiteAdd a tests/ (or test/, __tests__/, spec/) directory with runnable tests. Document how to run them in AGENTS.md.+3.9 pts
Score for each AI agent
Each agent weighs the checks by its own docs. Under each score are its top three. How each agent is scored →
Does crewAIInc/crewAI have agent instructions?
An AGENTS.md (or CLAUDE.md) at the root tells AI coding agents how to build, test and work in the repo. A few agents also read a file of their own.
- AGENTS.md / CLAUDE.md
AGENTS.md(new tab) · 1,866 characters- Agent-specific files
- None: no GEMINI.md, .cursor/rules, .openhands/setup.sh, .aider.conf.yml or .agents/skills
- Repos that have one
- 29 of 56 Python repos · 221 of 401 repos on the leaderboard · See examples →
All 17 checks · 9 passed
How crewAIInc/crewAI compares
- vs leaderboard average
- 6.8 pts above
- Average 66.8
- vs Python average
- 2.6 pts above
- Average 71.0
- Stars among Python repos
- #22 of 56
Missing here, and how many repos have it
- Reproducible dev env · passed by 22% of leaderboard repos, 29% of Python repos
- Skills (.agents/skills) · passed by 17% of leaderboard repos, 20% of Python repos
- Cursor rules (.cursor/rules) · passed by 4% of leaderboard repos, 7% of Python repos
Passes checks most repos miss
- Pre-commit / git hooks · only 29% of repos pass it
One fix for the most agents: Reproducible dev env would raise the score for all 9 agents, by up to 11.9 points.
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Same topics, any language
Repos tagged with the same GitHub topics, most shared first.
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