Comparison
Provision vs AutoGPT
AutoGPT was the project that launched the autonomous-agent wave in 2023. It's still going — now positioned as a more product-shaped "agent platform" with a UI and Forge/Arena components — but its DNA is hacker-friendly, do-it-yourself. Provision is the opposite end of that spectrum: a managed OpenClaw cloud where agents already live in your Slack, Telegram, Discord, and email. If you want to tinker, AutoGPT is genuinely fun. If you want agents working today, Provision is faster.
At a glance
AutoGPT is a hacker's playground for AI agents. Provision is the managed product for shipping AI agents to a real team.
Feature-by-feature comparison
Side-by-side on the things that usually drive a decision.
Compiled from public marketing materials. If anything has changed on agpt.co, we'll update — please let us know.
How they actually differ
The five or six dimensions that matter most when teams pick one.
Where AutoGPT fits in 2026
AutoGPT in its 2023 form was a single Python script that famously tried (and often failed) to plan and execute long-horizon tasks autonomously. The current incarnation is more product-shaped — there's a platform UI, a Forge component for building blocks, an Arena for agent benchmarking, and a cloud tier. It's still very much a builder's tool: you assemble, configure, and operate. The community is active, the codebase is interesting, and if your goal is to learn how agents work, it's a great place to spend a weekend. Provision targets a different buyer: someone who wants agents working in a real team's Slack and inbox, not someone who wants to learn the internals.
Time to working agent
On AutoGPT, time-to-first-running-agent is fast (minutes for a basic loop). Time-to-agent-actually-doing-useful-team-work is much longer — you'll wire up integrations, prompt-tune, handle errors, build the channel layer, set up persistent memory, etc. Provision compresses that to about five minutes for a Slack agent. The trade is the usual one: control vs convenience.
Channel and email integrations
AutoGPT does not ship first-party Slack/Telegram/Discord/Web Chat integrations as one-click features. The community has built various adapters; quality varies. Email-per-agent is similarly DIY — possible, but you build the SMTP / IMAP / deliverability layer yourself. Provision ships all of these as managed defaults, which is the entire reason the product exists.
Multi-agent
AutoGPT's Forge framework lets you build multi-agent setups, but it's an exercise in configuration and code. Provision is built around a team of named agents from day one — Buzz/Max/Echo/Sage in the demo — that delegate work to each other natively in your Slack channels. Different defaults; different shapes.
Maturity and production-readiness
Both AutoGPT and Provision are real, working software. Provision runs in production for paying customers; AutoGPT runs in production for many self-hosters. The difference is who handles the production-readiness work. Provision's runtime is monitored, patched, and updated continuously by the Provision team. AutoGPT's running instance is whoever you got: yours, your team's, or the AutoGPT cloud tier. For teams without a dedicated AI ops resource, the managed version reduces real risk.
Open source
Both are MIT-licensed and on GitHub. The Provision core (OpenClaw harness, runtime, channel adapters, dashboard) is open source — you can self-host the entire managed-cloud stack for free. AutoGPT's primary delivery is open source. The difference is what "open source" means in practice: AutoGPT assumes you'll run it yourself; Provision assumes you'll either pay $99/mo for the managed version or run the open-source core if your team has the ops capacity.
FAQ
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