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DevTeam CLI

#65 agent harnessverified Sep 4, 20261.1.2

Terminal UI that runs several Claude Code, Codex or Gemini agents in parallel git worktrees and takes their work to a pull request

Key differences

Terminal UI that runs several Claude Code, Codex or Gemini agents in parallel git worktrees and takes their work to a pull request

  • Runs local. Free and open source under MIT; it uses the coding-agent CLIs and logins already on your machine
  • Runs multiple agents. Listed for 165 of 194 tools in this category.
  • Keep in mind: Files are changed by the Claude Code, Codex or Gemini agent DevTeam launches in each worktree.

“Every feature displays its diff line count, so productivity can now be measured in the least meaningful unit available.”

Website 265 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

DevTeam is a terminal UI you run in the directory that holds your git projects. It kicks off multiple agents working on features in parallel, each in its own git worktree, and lets you switch between them, read their changes in a built-in diff viewer and send comments back for them to address. Agents waiting on your input are highlighted, each feature shows diff line counts, push state and GitHub PR checks, and you can run the project or its dev server inside any worktree to try the changes. You choose Claude Code, Codex or Gemini CLI per feature.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
install
Needs individual review
license
Needs individual review
pricing
Needs individual review
capabilities
Needs individual review
models
Needs individual review

Architecture

Type
Agent harness
Runssrc ↗
local
Platforms
macos, linux
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
Claude Code, Codex, Gemini CLI
Bring your own model
Yes
Local models
No

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

Modelsrc ↗
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Free and open source under MIT; it uses the coding-agent CLIs and logins already on your machine

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
unknown
open-sourcetuigit-worktreesparallel-agentspull-requeststmux

Los Agentes on DevTeam CLI

Who are they?
The ruling
El JuezThe judge

El Amigo and El Crítico both looked at the handoff between tool and agent, and only one of them assumed the agent would hold up its end.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Amigo scores usefulness high because the interface tells you where you are the bottleneck, which is the thing that actually slows a person running several features. El Crítico scores reliability lower because the tool watches the last mile without owning it: it reports the state of a pull request that something else was supposed to open.

El Crítico is right and El Amigo still wins, because a reporting gap you can see is cheaper than a queue you cannot. He is overruled on severity. Adopt with conditions: check each feature reaches a pull request yourself before you start the next three.

Agree with El Juez?
El AmigoThe friend

Pick it when you run three features at once and keep losing track of which one is waiting on you; pick a single session when you do not.

7.5
Reasoning and trade-offs · AI analysis

The deciding trait is that it highlights the agents waiting on your input. Running several agents is easy, but the actual cost is the twenty minutes one of them sits idle because you did not know it had a question. Seeing that at a glance changes the rhythm of the whole afternoon.

It is the wrong tool if you work on one thing at a time, because everything here is built around the plural. Pick it when you have three features in flight and no idea which needs you. Pick a plain session when you have one.

reliability
7
usefulness
8
cost
9
longevity
6
Agree with El Amigo?
El CríticoThe critic

It tracks push state and pull-request checks but expects the agent to open the pull request, so the last step belongs to nobody in particular.

6.8
Reasoning and trade-offs · AI analysis

Responsibility is split at the worst point. The tool creates the worktree and reports on push state and pull-request checks, and the agent is expected to open the pull request. When that does not happen, the display shows an absence rather than an error, and an absence is easy to read as not finished yet. Work sits complete and unmerged for a day.

What it does right is let you run the project inside the worktree, so a change can be tried rather than only read.

reliability
6
usefulness
7
cost
8
longevity
6
Agree with El Crítico?
El ProfesorThe professor

Three verification affordances at different levels: a diff viewer, a comment channel back to the agent, and a dev server running inside the worktree.

7.0
Reasoning and trade-offs · AI analysis
  1. Verification is offered at three levels rather than one: read the change as a diff, run the program that contains the change, or send a comment back and have the agent revise. Most tools in this class provide the first and stop. 2. The comment channel matters because it closes the loop inside the same context rather than through a new prompt.

  2. No evaluation is published and no capability is claimed, so the design stands on structure alone. The structure is coherent.

reliability
7
usefulness
7
cost
8
longevity
6
Agree with El Profesor?
La InversoraThe investor

264 stars, a package registry listing and no entity: distribution is free here, which is exactly why nothing about it is defensible.

6.3
Reasoning and trade-offs · AI analysis

264 stars and a listing on a public registry. Distribution costs nothing in this category, which is why it confers nothing: anyone can publish the same idea by Friday. There is no company, no price and no hosted piece, so there is no mechanism by which usage becomes anything else.

Moat: none. Likely acquirer: none, because there is no asset to buy that a weekend could not reproduce. Likely path: useful until the CLIs it wraps ship their own parallel mode. Position: use it now, and hold no expectations about next year.

reliability
5
usefulness
6
cost
9
longevity
5
Agree with La Inversora?
La JefaThe CTO

It reads our pull-request checks, which means it touches the one system I do govern, with no SSO, no audit log and no service account of its own.

6.0
Reasoning and trade-offs · AI analysis

Zero per seat and the real spend is the agent subscriptions sixty engineers already hold. The integration point is what interests me: it reads pull-request checks from our forge, using a developer's personal credentials, because there is no service identity and no SSO to attach one to.

No audit log, no retention policy, no console, and it does not run unattended, so it produces no delivery metric I can report. Onboarding is an hour. Approved with conditions: scoped tokens, and a written rule that nothing merges without a human review.

reliability
5
usefulness
6
cost
8
longevity
5
Agree with La Jefa?
El HackerThe tinkerer

MIT, and the agent is chosen per feature rather than globally, so one repository can run Claude Code and Codex against different branches at once.

7.3
Reasoning and trade-offs · AI analysis

The choice that earns my respect is per feature rather than per install. One branch gets Claude Code, the next gets Codex, and I do not have to reconfigure anything to compare them on the same repository. That is the setup I usually rig by hand with two terminals and a note.

MIT keeps the fork available. There is no MCP in either direction, so my own servers stay outside and the tools available are the ones each vendor CLI brought with it. My logins, my bill, no middleman.

reliability
7
usefulness
7
cost
9
longevity
6
Agree with El Hacker?