Comparison
Shelbi vs Devin
Devin is a hosted autonomous engineer you delegate tickets to. Shelbi is the open-source control room for the CLI agents you already run. Here is where each one fits.
At a glance
| Shelbi | Devin (Cognition) | |
|---|---|---|
| What it is | Open-source orchestrator for coding agents in the terminal | Hosted "AI software engineer" you delegate tickets to |
| Where it runs | Your machines — a hub plus any box reachable over SSH | Cognition's cloud, in isolated per-session VMs (enterprise VPC optional) |
| Intelligence | Agent-agnostic: drives Claude Code, Codex, aider — anything with a CLI | Bundled SWE-1.6 plus an Adaptive router over Claude, GPT, and Gemini |
| Parallelism | A fixed worker pool in tmux panes, spread across machines | Many parallel cloud sessions, each its own VM, plus subagents |
| Review | Two-pane TUI; per-task git worktree; inspect and merge the diff yourself | Autonomous pull request reviewed in your existing SCM |
| State | Plain markdown and YAML files under ~/.shelbi | Cognition's hosted platform, surfaced via web app, REST API, and dashboards |
| Pricing | Free and open source; you pay only your own compute and agent CLIs | Free → $20 Pro → $200 Max → Teams → Enterprise, metered in ACUs |
| License | MIT, open source | Proprietary, hosted — no open-source edition |
Where Shelbi excels
You own the machines, and there is no meter. Devin runs work in
Cognition's cloud VMs and bills it as Agent Compute Units, where roughly one
ACU is fifteen minutes of active work — great until light or bursty use turns
into an unpredictable per-task cost. Shelbi runs entirely on hardware you
already have: "no daemons, no servers," just ssh, tmux, git, and your
agent CLI. Point it at the Mac mini in your closet and a Linux workstation,
declare a few workers on each, and your spare compute becomes the fleet — with
no VM clock running.
Bring your own agent — Shelbi is plumbing, not a model. Devin's intelligence is the product: its own SWE-1.6 model and an Adaptive router that picks a frontier model per task. Shelbi ships no model at all. It is agent-agnostic by design, driving "Claude Code, Codex, aider, anything with a CLI," declared per project. Run Claude Code on one worker and Codex on another in the same project, then swap a runner by editing a single line of YAML. When a better CLI lands next quarter, you adopt it without leaving Shelbi.
Review is a first-class pane, not just a pull request. Devin leans on
autonomous PR generation that you review in GitHub or GitLab. Shelbi makes the
human-in-the-loop step the center of the product: when a worker finishes, its
card lands in a review column, Shelbi checks the branch out into a working
directory on the machine that ran it, and spawns a fresh agent pane right there
so you can interrogate the diff before anything merges. Press Enter on a review
card, ask "why this approach?" in the agent's own pane, then approve and merge
into your default branch — or push and open a PR with --pr.
Everything is plain text you can grep. Devin's task and run state lives in
Cognition's platform, read back through a web app, REST endpoints, and
consumption metrics. Shelbi keeps every task, log, and worker status as a
markdown or YAML file on your disk — "grep it, version-control it, read it from
your editor." A task is a markdown file with frontmatter you can diff; every
column change appends one line to ~/.shelbi/events.log, so you can tail or
audit the whole history after the fact. Each task also runs on its own git
branch in its own worktree, so you review, merge, and archive them
independently.
Where Devin excels
Genuine end-to-end autonomy from a ticket. Among coding agents, Devin is one of the furthest toward "ticket in, reviewed PR out": it plans, writes, runs tests, and debugs its own failures in one loop inside a real VM, equipped with a shell, an editor, and a browser. Shelbi orchestrates and supervises agents, but it does not supply that autonomous loop itself — your chosen CLI agent does the actual engineering.
Managed parallelism and enterprise governance. Devin's per-session-VM model lets one human supervise many concurrent tickets — Cognition cites 10+ implementations queued for review at once — and it pairs that with SSO, custom RBAC, audit logs, customer-managed keys, and dedicated or VPC deployment. That makes it credible inside large, regulated organizations. Shelbi has none of that compliance surface; it is your machines and your responsibility.
Repo-understanding tooling. Devin's DeepWiki (auto-generated, continuously updated architecture docs) and Ask Devin (semantic Q&A over an indexed repo) are well-regarded for onboarding both agents and humans onto an unfamiliar codebase. Shelbi has no equivalent built in — understanding the code is left to whichever agent you run.
Choosing
Choose Shelbi if you live in the terminal, have spare compute to spread agents across, and want your tasks, logs, and state to stay on your own disk in plain text. It fits when you want to drive whichever CLI agent is best this month and keep a hands-on review loop where you read every diff before it merges.
Choose Devin if you want a hosted teammate to delegate well-scoped tickets to with minimal setup, need parallel backlog burn-down or large mechanical migrations such as framework and Java upgrades or COBOL modernization, or need enterprise SSO, RBAC, audit, and VPC compliance out of the box.