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ccmanager

#35 agent harnessverified Sep 4, 20264.4.4

Terminal UI that runs parallel coding-agent sessions across git worktrees, one status indicator per session

Key differences

Terminal UI that runs parallel coding-agent sessions across git worktrees, one status indicator per session

  • Runs local. Free and open source under MIT; you bring your own agent CLI credentials
  • Includes a Docker sandbox. Listed for 48 of 194 tools in this category.
  • Runs multiple agents. Listed for 165 of 194 tools in this category.
  • Keep in mind: ccmanager runs whatever agent command you configure as a preset, so the model comes from the agent CLI you point it at rather than from ccmanager itself.

“It will drive nine different coding agents for you, and there is still only one of you to read what they wrote.”

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What it is

ccmanager is a TUI session manager for coding agents: every session is bound to a git worktree, shown with a status indicator, and switched between without leaving the terminal. It creates, merges and deletes worktrees in-app, manages several projects from one interface, and drives Claude Code, Gemini CLI, Codex CLI, Cursor Agent, Copilot CLI, Cline CLI, OpenCode, Kimi CLI and MiniMax Code through configurable command presets. Shortcuts, status-change hooks and devcontainer integration are configurable.

Specification

Source verification

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

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

Architecture

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

Models

Backbonesrc ↗
via managed agents (Claude Code, Gemini CLI, Codex CLI, Cursor Agent, Copilot CLI, Cline CLI, OpenCode, Kimi CLI, MiniMax Code)
Bring your own model
Yes
ccmanager runs whatever agent command you configure as a preset, so the model comes from the agent CLI you point it at rather than from ccmanager itself.
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
Yes
Through documented devcontainer integration, which runs the agent session inside a container.
Multi-agent
Yes
Headless / CI
No

Cost

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

Free and open source under MIT; you bring your own agent CLI credentials

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
2025-06
tuiworktreesparallel-agentsmulti-agentdevcontaineropen-source

Los Agentes on ccmanager

Who are they?
The ruling
El JuezThe judge

El Hacker and La Jefa are not arguing: he scores a small MIT program he can read in a sitting, she scores a program with nothing for her to administer.

Adopt
Reasoning and trade-offs · AI analysis

El Hacker takes the whole thing on its licence and its install command. La Jefa finds no identity, no central visibility and two supported operating systems, and marks it down for being a personal tool. She describes it accurately and reviews it for a job it never applied for.

El Hacker's reading wins and La Jefa is overruled, because this is bought by an individual and installed by an individual, and her objections cost the company nothing when the licence line is zero. El Crítico's warning survives the ruling and binds everyone. Adopt, provided you know which keystroke deletes a worktree before you learn it by accident.

Agree with El Juez?
El AmigoThe friend

Pick it if you run three or four agent sessions and lose track of which one is waiting on you; pick Conductor if you would rather have a window than a terminal.

7.3
Reasoning and trade-offs · AI analysis

You will feel the benefit within an hour if you already juggle parallel sessions. The status indicator beside each session is the trait that decides it, because the expensive part of running several agents is not starting them, it is noticing that one has been sitting idle waiting for your answer for twenty minutes. Switching between them never leaves the terminal, and several projects sit in one interface.

Pick it if you live in a shell and want a dispatcher rather than another agent. Pick Conductor when you want the same idea with a real window, or Claude Squad if you want it smaller still.

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

Creating, merging and deleting git worktrees are single keystrokes inside a full-screen session manager, and a merge is not an undoable thing.

6.5
Reasoning and trade-offs · AI analysis

The risk is the interface, not the code. Worktrees are created, merged and deleted from inside the app, so destructive git operations become shortcuts in a screen where you are also switching contexts under time pressure. Nothing on the row describes a confirmation step or a recovery path. The failure is not a crash. It is a merge you did not mean to run and a branch you had not finished reading.

What it does right: documented devcontainer integration runs a session inside a container, so the agent's blast radius is a decision rather than a default.

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

It executes no edits of its own, so its correctness question reduces to session and worktree lifecycle, and status-change hooks make that lifecycle observable.

6.8
Reasoning and trade-offs · AI analysis

Two points worth recording. 1. Editing is performed entirely by the managed command-line agents, so this layer neither gathers context nor applies changes; its verification surface is whether a session is in the state the display says it is in. 2. Status-change hooks expose that transition to external scripts, which is the correct primitive: it lets an operator instrument the thing rather than watch it.

Documentation is a single repository page and no evaluation is offered, which is proportionate for a program with this narrow a remit. The scope discipline is the notable design choice.

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

One maintainer, MIT, no company and no revenue line: the asset here is roughly twelve hundred stars of attention, which is not an asset.

5.5
Reasoning and trade-offs · AI analysis

This is a personal project published under a permissive licence by a named individual with no vendor behind him. There is no pricing page to have power over, no hosted tier, and no structure that could take money if someone offered it. Roughly twelve hundred stars is distribution of a sort, and distribution without a business model is a resume line.

The realistic outcomes are steady hobby maintenance or a quiet archive when the maintainer's own workflow changes. No acquirer wants this; they would rebuild it in a week. Position: adopt without hesitation and without dependency, because the cost of it stopping is one afternoon.

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

Nothing to buy and nothing to administer: no headless mode, so it never enters a pipeline, and macOS and Linux only leaves my Windows engineers out.

6.0
Reasoning and trade-offs · AI analysis

Sixty seats cost nothing, which is where my interest usually starts and here also where it ends. There is no headless mode, so this cannot run in a pipeline and produces no artefact my release process could consume. Supported platforms are macOS and Linux, and a third of my engineers are on Windows laptops, so a standard rollout is off the table before security is even involved. No SSO, no audit log, nothing to attach to our directory.

Onboarding is twenty minutes for whoever wants it. Approved with conditions: individual installs only, and it stays off the standard image.

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

MIT, `npx ccmanager` with nothing to install, and every agent it drives is just a command preset I define myself.

8.3
Reasoning and trade-offs · AI analysis

MIT with the licence file right there, and I can run it through npx without putting anything permanent on the machine. The part I like is the preset model: the agents it supports are not compiled in, they are commands I configure, so pointing it at a binary the author has never heard of takes a config entry rather than a pull request. My provider credentials stay with whichever agent CLI I launch.

It is small enough that I could read the whole thing on a train, which is the only real test of whether a fork would survive its author.

reliability
8
usefulness
7
cost
10
longevity
8
Agree with El Hacker?