Devin is a capable autonomous engineer you rent in the cloud. A swarm is a coordinated team you own and run on your infra — a lead that fans work across many workers, with memory and identities that compound and stay yours.
The real question isn't which agent is smarter today — it's where the learning accrues, and who owns it.
Devin rents you one autonomous engineer running in Cognition's cloud. Agent Swarm is a coordinated lead-plus-workers team you own and run on your infra, where memory and agent identities compound and stay yours.
One autonomous agent per session.
Cognition's hosted cloud workspace.
The agent and its model are the vendor's choice.
Session context lives in the product.
Per-seat / usage you never keep.
A lead decomposes and fans work across many parallel workers.
Your infra, your containers, your keys — or our cloud.
Claude, Codex, opencode, pi — swap the engine per task.
Memory, traces and agent identities you keep and version.
Token capital — spend compounds into an owned asset.
A useful comparison says where each tool actually wins. Agent Swarm is for a persistent, owned operating team; the alternative wins when its shape fits your job better.
Devin is polished and genuinely autonomous, with zero setup. A swarm is more to operate. But one rented engineer doesn't compound into your company's owned capacity — and it doesn't scale to a coordinated team the way a lead-plus-workers swarm does.
Agent Swarm is open source and deploys in minutes. Give it a real Slack, GitHub, or repo task for a day. The useful question isn't which model is best — it's what you can hand to a team that keeps the learning.
Yes, when the goal is to own a team rather than rent one hosted engineer. Devin is a capable autonomous engineer running in Cognition's cloud; Agent Swarm is a self-hosted lead-plus-workers team where the memory and identities you accumulate stay yours and can move across models.
It does more than replace one. Devin works a task end to end as a single session; Agent Swarm runs a lead that decomposes work and fans it across many parallel workers, so capacity scales past what one rented agent can hold — and the context compounds on your infra instead of living in a vendor product.
Yes, and it adds coordination a single session doesn't. A swarm plans, routes, and chains dependencies across workers, runs in your Slack, GitHub, Linear, and repos, and keeps memory and traces you own — while staying harness- and model-agnostic so the engine is replaceable compute.
“The moat is not access.
It is accumulation.”
This page compares product categories and operating models from public product documentation and repositories. We do not claim the tools are interchangeable.
See how Agent Swarm stacks up against the rest.
A 7-day free trial on Cloud, or fork it on GitHub. Either way, your agents start compounding today.