CrewAI vs DeerFlow

CrewAI

CrewAI is the quickest way to get a team of role-defined agents working on a task, and Flows added the deterministic control that early crews lacked. The open-source core is free and widely used; the paid platform is for teams that want governance and managed execution without building the plumbing. Treat the enterprise claims on the homepage as marketing and the free tier's 50 executions as a trial, not a plan.

Pros

• +MIT-licensed framework with a large community and about 59,700 GitHub stars
• +Crews for collaboration and Flows for state, branching and loops cover both exploratory and production shapes
• +Free platform tier with a visual editor, AI copilot and GitHub integration costs nothing to try
• +Enterprise deployment on CrewAI cloud, your VPC or on-premise, with PII redaction and policy controls

Cons

• −Enterprise pricing is quote-only, with executions beyond the free 50 a month behind sales
• −Role-playing agent abstractions can hide cost: every delegation is another LLM call
• −Debugging a crew means reading long non-deterministic delegation traces, and observability on the free tier is not described on the pricing page
• −Homepage usage claims (65% of the Fortune 500, 450M+ workflows a month) are the vendor's own

DeerFlow

A serious piece of agent infrastructure with a real company behind it and a permissive licence, aimed at tasks that run for hours rather than turns. Sandboxing, lease-based ownership and orphan recovery are the sort of details that only appear once someone has run this in production. What it is not is a product you can buy: the hosted workspace is a demo, so the practical path is self-hosting and paying your own model bills.

Pros

• +MIT-licensed and published under ByteDance's GitHub organisation
• +Each agent runs in a Docker sandbox with shell, browser, file system and VSCode Server access
• +Progressive skill loading from a built-in library or your own skill files
• +Model-agnostic: Doubao, DeepSeek, OpenAI, Gemini and external ACP agents
• +Handles the hard operational cases - lease takeover, orphan recovery and atomic cancellation

Cons

• −The hosted workspace is demo mode only, with features disabled and no plan to buy
• −Self-hosting means running Docker infrastructure and paying model costs yourself
• −No published SLA, support contract or commercial offering
• −ByteDance ownership is a procurement problem in some jurisdictions

Does CrewAI or DeerFlow have a free tier?

Both: CrewAI has a free tier, and DeerFlow is free to use.

Which has a public API, CrewAI or DeerFlow?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.