CrewAI
Open-source multi-agent orchestration framework with a visual Studio for building crews that collaborate via delegation and context sharing.
Delv Safety Grade: B
Score 72/100 · assessed 2026-04-18
CrewAI is an open-source multi-agent orchestration framework maintained by CrewAI Inc, a venture-backed startup with active development and reasonable community engagement. The framework enables autonomous agents to execute tasks with delegation and collaboration patterns. As a task automation framework, it inherently requires broad permissions: agents can execute arbitrary code, access filesystems, make network calls, and interact with external APIs including LLMs. The supply chain is reasonably solid via PyPI distribution with standard Python packaging, though dependencies include numerous third-party libraries. Transparency is good with open source code, documentation, and active issue tracking. No known security incidents exist. The primary safety concern is the framework's design purpose: enabling autonomous agents with wide-ranging capabilities. Users must carefully scope agent permissions and validate tasks, as agents can perform filesystem writes, shell execution, and external API calls based on their configured tools and objectives.
Green flags
- Open source with active GitHub repository and community contributions
- Distributed via PyPI with versioned releases and standard packaging
- Well-documented with examples and integration guides
- Backed by identifiable company with ongoing maintenance
- No known security incidents or malicious versions
Red flags
- Agents can execute arbitrary Python code via tool definitions
- Framework designed for autonomous task execution with minimal human oversight
- Broad filesystem and network access required for typical agent operations
- Multiple LLM provider integrations increase attack surface
- Agent delegation patterns can amplify permission scope unexpectedly
Permissions requested
Pricing
Platforms
Review
Pay for AMP if you're building multi-agent products and need the Studio's visibility and deployment tools. Stick with the free OSS version if you're prototyping or happy in code. Skip it if you want fully autonomous agents that run unsupervised, this is orchestration, not autopilot.
Good at
- Role-based agent model maps cleanly to real team workflows
- Visual Studio (paid) makes debugging delegation and context handoffs tangible
- Open-source core means no vendor lock-in, you own the code
- Context-sharing between agents is explicit and controllable
- Active community and frequent updates
Watch out
- Steep learning curve if you're new to multi-agent concepts
- Agents can loop or stall if goals aren't precisely defined
- No built-in guardrails against hallucinated tool outputs
- Studio and deployment features locked behind paid AMP tier
- Requires code-level work for anything beyond simple crews
Use cases
- multi-agent workflows
- sales crews
- code generation