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Bernstein vs Devin for Terminal: quick decision guide

Devin for Terminal (Cognition) CLI adapter.

Page built on 2026-05-18 from data/adapters-meta.json. Every claim below links to its primary source.

Install both

Devin for Terminal

curl -fsSL https://cli.devin.ai/install.sh | bash

Bernstein

pipx install bernstein

Apache-2.0. Deterministic Python scheduler.

Feature matrix

CapabilityDevin for TerminalBernstein
Install methodcurl -fsSL https://cli.devin.ai/install.sh | bashpipx install bernstein
LicenseNot recordedApache-2.0
AuthenticationNot recordedPer-agent credential scoping (no shared key)
Multi-agent orchestrationOne agent in a terminalDevin for Terminal plus 41 other adapters in parallel worktrees
MCP supportNot measuredYes
Parallel-safe in worktreesNot measuredYes (designed around git worktrees)
HMAC-chained audit logNoYes (RFC 2104 SHA-256 chain in .sdd/)
Deterministic schedulerNot applicable (single-agent CLI)Yes (Deterministic Python scheduler)

Adapter source: src/bernstein/adapters/devin_terminal.py | Upstream homepage: cli.devin.ai

Verifiable facts

The brief for this surface requires at least three facts that a reader can verify against a primary source. The list below is built from the bernstein adapter source and, when available, the upstream project's own pages.

  1. Bernstein ships a Devin for Terminal adapter at src/bernstein/adapters/devin_terminal.py that wraps the upstream CLI as one of 42 routable agents. [source: bernstein adapter source, as of 2026-05-18]
  2. Upstream install command, as recorded in the bernstein adapter, is "curl -fsSL https://cli.devin.ai/install.sh | bash". [source: upstream docs, as of 2026-05-18]
  3. Bernstein is an open-source Multi-agent orchestrator licensed Apache-2.0, with a deterministic Python scheduler that routes work across CLI agents in parallel git worktrees. [source: bernstein repo, as of 2026-05-18]

Where Devin for Terminal fits in Bernstein

Bernstein registers Devin for Terminal under the slug "devin-terminal" and the registry name "devin_terminal". The adapter source lives at src/bernstein/adapters/devin_terminal.py in the bernstein repo and was last touched at build time 2026-05-18. The Devin for Terminal adapter file is 213 lines and 8,610 bytes long, fingerprinted 05b2f715e11ca186 (first 16 hex chars of SHA-256). Operators install Devin for Terminal on a worker box with "curl -fsSL https://cli.devin.ai/install.sh | bash" before Bernstein routes any task to it. No upstream GitHub repository is recorded in the bernstein adapter for Devin for Terminal; refer to the upstream vendor's documentation when auditing. The Devin for Terminal project's homepage at cli.devin.ai is the primary source for upstream release notes. The bernstein adapter file for Devin for Terminal does not yet carry a "Last verified against upstream" line; this means the adapter still tracks an unpinned upstream binary. Bernstein routes tasks to Devin for Terminal when its pass rate on similar work clears the configured threshold, otherwise the deterministic Python scheduler picks a different adapter from the 42-adapter catalog.

Adapter source excerpt

The text below is the verbatim docstring of the Devin for Terminal adapter in the bernstein repo, with em-dashes swapped for commas so the voice gate passes. Length: 794 characters.

Devin for Terminal (Cognition) CLI adapter. `Devin for Terminal` is Cognition's local coding agent, a single-binary ``devin`` CLI installed via:: curl -fsSL https://cli.devin.ai/install.sh | bash Headless usage matches the Codex shape: the CLI prints the assistant's reply for one prompt and exits when invoked with ``-p`` / ``--print``, which is the documented non-interactive mode (see ``https://cli.devin.ai/docs/reference/commands``). Authentication is handled out of band by ``devin auth login``; for unattended runs the CLI also reads ``DEVIN_API_KEY`` (and optional ``DEVIN_ORG_ID``) matching Cognition's REST API tokens (``apk_…`` / ``cog_…`` prefixes). ``WINDSURF_API_KEY`` is honoured for the Windsurf-bundled distribution. Last verified against Devin for Terminal docs on 2026-05-05.

Adapter telemetry

Registry namedevin_terminal
Adapter classDevin for Terminal
Source filesrc/bernstein/adapters/devin_terminal.py
Source file size213 lines, 8,610 bytes
Source SHA-25605b2f715e11ca186f8ad3dfd598091d30f44853e2e7047bcab3f3d0561dea444
Category bucketopenai-family
Upstream repoNot derivable from adapter source
Upstream homepagecli.devin.ai
Last verified upstreamNo "Last verified" line in adapter source
Operator-curated overlayNo (programmatic page)

When to pick which

Choose Devin for Terminal

Reach for Devin for Terminal when the work is a single thread that fits one agent: in a single-process terminal session, designed for single-instance use per repo. Auth model is configured per upstream docs. You skip the orchestrator round-trip and get the smallest possible surface between you and the model.

Choose Bernstein

Wrap Devin for Terminal under Bernstein when the goal splits into parallel tasks, when you want an HMAC-chained audit log on every routing decision, or when a deterministic Python scheduler (no LLM picking who runs what) is a hard requirement. Bernstein also runs Claude, Gemini, and Aider against the same plan so an OpenAI miss is caught by a cross-model verifier.

FAQ

Does Bernstein replace Devin for Terminal?

No. Bernstein wraps Devin for Terminal as one of 42 CLI adapters and routes tasks to it based on per-task pass-rate history. Devin for Terminal keeps running unchanged; Bernstein decides when it gets work.

Can I run Devin for Terminal alongside other agents in the same repo?

Yes. Each agent runs in its own git worktree under .worktrees/, so file edits never collide. Bernstein merges results back to the trunk only after the configured quality gates (lint, types, tests) pass.

Is this comparison page handwritten?

No. The template is fixed; every fact and every link is pulled from the bernstein adapter source in the master branch and (when available) the upstream project's own pages. The data extractor lives at scripts/gen-compare-data.mjs. No LLM writes the prose.