RepoPilot

crewAIInc/crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Healthy

Strong maintenance signals

MixedDependency

dependency CVE scan unavailable

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

dependency CVE scan unavailable

  • ✓Last commit today
  • ✓14 active contributors
  • ✓Distributed ownership (top contributor 37% of recent commits)
  • ✓MIT licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: crewAIInc/crewAI

Generated by RepoPilot · document generated 2026-09-13 · concise human review Evidence snapshot · analyzed 2026-09-13T22:15:47.929Z · commit b1c9c89ad038

Verdict

Healthy — Strong maintenance signals

  • Last commit today
  • 14 active contributors
  • Distributed ownership (top contributor 37% of recent commits)
  • MIT licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

What it is

CrewAI is an open-source Python framework for orchestrating multi-agent AI systems with two core abstractions: Crews (role-based autonomous agents optimized for collaborative intelligence) and Flows (event-driven automations combining precise workflow control with native Crew support). It enables developers to build production-ready agentic automation by composing specialized LLM-powered agents that work together on complex tasks. Monorepo structure with a core framework package and a dedicated CLI layer: lib/cli/ contains the CLI tool with submodules for authentication (providers, token management), deployment (archive, validation), enterprise features, and orchestration (crew…

Start here

Open these first:

  • lib/cli/src/crewai_cli/cli.py — Main CLI entry point and command dispatcher for all crewAI operations.
  • lib/cli/src/crewai_cli/command.py — Base command abstraction that all CLI subcommands inherit from.
  • lib/cli/src/crewai_cli/authentication/main.py — Central authentication module coordinating provider-based token management and user identity.
  • lib/cli/src/crewai_cli/plus_api.py — Client library for communicating with CrewAI cloud backend services.
  • lib/cli/src/crewai_cli/deploy/main.py — Orchestrates crew validation and deployment workflow to cloud.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone and install: git clone https://github.com/crewAIInc/crewAI.git && cd crewAI. For the CLI module: cd lib/cli && pip install -e . (inferred from pyproject.toml presence). For the main framework: `pip install -e…

Daily commands:

Evidence insufficient: pyproject.toml contents not shown. Infer from CLI structure: likely crewai <subcommand> (e.g., crewai create-crew, crewai run, crewai deploy). Verify by checking lib/cli/pyproject.toml…

…shortened for this brief.

Key cautions & unknowns

  • (1) Authentication provider selection: The CLI includes 5+ auth providers (Auth0, Okta, Entra ID, KeyCloak, WorkOS) but it's unclear which is the default or how provider selection works—check…
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

For the complete agent context, use the CLAUDE.md or Cursor rules export.

Save as

Full context for agent files, or a concise PDF for human review.

View complete agent reference

Open to load every section of the agent reference.

Want this for your own repo?

Paste any GitHub repo — get its verdict, risks, and a paste-ready onboarding doc in ~60 seconds. Free, no sign-up.

Embed the "Healthy" badge

Paste into your README — live-updates from the latest cached analysis.

Variant:
RepoPilot: Healthy
[![RepoPilot: Healthy](https://repopilot.app/api/badge/crewaiinc/crewai)](https://repopilot.app/r/crewaiinc/crewai)

Paste at the top of your README.md — renders inline like a shields.io badge.

▸Preview social card

This card auto-renders when someone shares https://repopilot.app/r/crewaiinc/crewai on X, Slack, or LinkedIn.

Ask AI about crewaiinc/crewai

Grounded in the actual source code. Pick a starter question or write your own.

What does this repo do, in one paragraph?How would I get started using it?What are the main alternatives?Show me the entry point.
Or write your own question

Similar Python repos

Other healthy-signal Python repos by stars.

Featured in lists

Curated shortlists that include this repo.

Embed this chat in your README

Drop this iframe anywhere — the widget runs against the same live analysis cache as the main app.

<iframe
  src="https://repopilot.app/embed/crewaiinc/crewai"
  width="100%" height="500"
  style="border:1px solid #d0d7de; border-radius:8px;"
  allow="microphone"
  loading="lazy"
></iframe>