AgentGPT vs CrewAI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan: Both have one
Public API: CrewAI has one; not confirmed by us for AgentGPT
Higher Trust score: CrewAI — 92 vs 81 for AgentGPT
Best fit: AgentGPT: Trying the autonomous-agent loop concept with zero setup · CrewAI: Python developers prototyping multi-agent workflows with clear roles and delegation
Platforms: AgentGPT: Web · CrewAI: Web, Linux, macOS, Windows

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

AgentGPTBrowser-based autonomous agent that splits a written goal into tasks and runs them in a loop

CrewAIOpen-source Python framework for role-based agent crews and event-driven flows, with a hosted platform for running them

Side by side

Fact	AgentGPT	CrewAI
Category	AI Agents & Autonomous Workers	AI Agents & Autonomous Workers
Pricing model	Freemium	Freemium
Starts at	$40/mo	—
Public API	Not confirmed	Yes
Trust score	81 / 100	92 / 100
Platforms	Web	Web, API, Linux, macOS, Windows
Company	Reworkd	CrewAI, Inc.
Launched	2023	—
Last verified	Sep 6, 2026	Sep 6, 2026

What our research says

AgentGPT

AgentGPT is the quickest way to watch goal-decomposition agents work without installing anything, and the GPL-3.0 source makes it a useful teaching artifact. The catch is that it is frozen in time: the repo was archived in January 2026 and the hosted app is still wired to 2023-era models.

Pros

Runs in the browser with no install or API key wrangling for the free tier
Full source under GPL-3.0, so it can be forked and self-hosted
Templates make the goal-to-task pattern easy to see
Clear published plan page rather than sales-call-only pricing

Cons

GitHub repository archived in January 2026; last code push was April 2025
Pricing page still sells GPT-3.5-Turbo and GPT-4 era capabilities
Reworkd sunset its commercial data-extraction product, so the company's focus has moved on

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

Which one fits

Choose AgentGPT if you need

Trying the autonomous-agent loop concept with zero setup
Students and educators who want readable open-source agent code
Teams self-hosting a simple agent runner they intend to fork

Choose CrewAI if you need

Python developers prototyping multi-agent workflows with clear roles and delegation
Teams that want an opinionated structure (Crews inside Flows) instead of wiring a graph from scratch
Enterprises that need SSO, RBAC and VPC deployment around agents they already built on the framework