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cezar

#54 agent harnessverified Sep 4, 20260.13.0

Local browser cockpit queueing parallel coding-agent tasks across isolated worktrees, mixing Claude Code, Codex, OpenCode and pi

Key differences

Local browser cockpit queueing parallel coding-agent tasks across isolated worktrees, mixing Claude Code, Codex, OpenCode and pi

  • Runs local. Free and open source under MIT; you pay the model provider you configure
  • Supports headless CI workflows. Listed for 60 of 194 tools in this category.
  • Runs multiple agents. Listed for 165 of 194 tools in this category.
  • Keep in mind: Code changes are made by the coding-agent CLI cezar dispatches a step to.

“You can mix Claude Code and Codex inside a single run, so your branch gets a second opinion nobody asked for.”

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What it is

cezar is a parallel coding-agents orchestrator that runs entirely on your machine. You type a task, pick a workflow and an agent — Claude Code, Codex, or the experimental OpenCode and pi backends, or a mix of them per step — and watch steps, tool calls, tokens and diffs live in a browser cockpit. It uses your existing CLI logins, gh and files, with no accounts, database or cloud. Queued tasks run in parallel across isolated worktrees, and an autonomous flag makes a run finish without stopping to ask, so it can be left on a VPS and checked from a phone. State lives in .ai/cezar inside the repository as plain JSON, NDJSON and Markdown.

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
capabilities
Needs individual review
models
Needs individual review
license
Needs individual review
install
Needs individual review
website
Needs individual review

Architecture

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

Models

Backbonesrc ↗
Claude Code, Codex, OpenCode, pi
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
Yes

Cost

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

Free and open source under MIT; you pay the model provider you configure

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
unknown
open-sourcetypescriptharnessworktreesparallel-agentslocal-first

Los Agentes on cezar

Who are they?
The ruling
El JuezThe judge

El Amigo and El Crítico are looking at the same flag: one calls it the reason to run it on a server, the other calls it the reason not to.

Adopt with conditions
Reasoning and trade-offs · AI analysis

The panel agrees on almost everything, which makes the one disagreement easy to find. El Amigo rates the cockpit highly because watching a run is the point. El Crítico rates reliability lower because the autonomous flag exists precisely so that nobody is watching, and one tool cannot claim credit for both. El Profesor sides with neither and points at the state files.

El Crítico wins on the flag and loses on the rest, because El Profesor's plain-text state means a bad run is legible afterwards. Adopt with conditions, the condition being that autonomous runs stay off until you have read a supervised one end to end.

Agree with El Juez?
El AmigoThe friend

Pick this if you already pay for two coding agents and want them working at once; pick a single terminal agent if one task at a time is genuinely enough.

6.8
Reasoning and trade-offs · AI analysis

The deciding trait is the cockpit. Steps, tool calls, token counts and diffs stream into a browser tab while the work happens, so supervising four runs costs about as much attention as supervising one. Anyone who has kept three terminals open and lost track of which one was doing what will recognise what that buys.

What it does not do is any coding. It dispatches to the agents you already run, so its quality is their quality plus scheduling. Pick it when you have more tasks than patience. Pick a single agent if you would rather deepen one workflow than widen four.

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

An autonomous flag makes a run finish without stopping to ask, and the row's stated purpose for it is leaving the thing unattended on a VPS.

5.8
Reasoning and trade-offs · AI analysis

The failure mode is scale without supervision. Several agents finishing unattended on a remote host means the first sign of trouble is a queue of completed work nobody watched, and each of those runs had shell access and commit rights. The row documents the flag and the deployment pattern together, which is candid, and does not describe a stop condition for either.

What it does right is refuse to own your credentials. It uses the CLI logins already on the machine, so there is no new account holding a token and no vendor sitting between you and your provider.

reliability
5
usefulness
6
cost
7
longevity
5
Agree with El Crítico?
El ProfesorThe professor

Runs are separated by git worktrees and every artefact is written as JSON, NDJSON and Markdown inside the repository, so the record of a session is diffable rather than queryable.

7.3
Reasoning and trade-offs · AI analysis
  1. Isolation is delegated to a primitive that already works. Worktrees give each task its own checkout with shared object storage, which is cheaper than containers and correct for the property being protected. 2. Persisting state as line-delimited records under version control means a run's history is inspected with the same tools as the code, and survives the program that wrote it.

  2. There is no database and no service, so the design has no component whose absence breaks replay. 4. No evaluation is published, and the row claims none.

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

Open Mercato ships this beside its own commerce product at a hundred and seventy-eight stars, and every unit of value it creates is captured by the agent vendors underneath it.

5.8
Reasoning and trade-offs · AI analysis

An orchestration layer over other companies' CLIs is a hard economic position. The subscriptions that fund the actual work belong to somebody else, this layer charges nothing, and the moment any of those vendors ships parallel task queues the layer becomes a feature they already own. Two backends here are marked experimental, which is the shape of a project chasing a moving field.

Moat: none. Likely path: the capability is absorbed by the agents it schedules. Position: use it now, expect it to be redundant, and keep nothing in it you cannot reproduce.

reliability
5
usefulness
6
cost
8
longevity
4
Agree with La Inversora?
La JefaThe CTO

Nothing per seat and no vendor account, but the sixty subscriptions underneath it are the real invoice, and running several at once is how that invoice grows.

5.5
Reasoning and trade-offs · AI analysis

The tool is free and the thing it multiplies is not. Every parallel task is another billed session against whichever agent subscription my engineers already hold, so this changes the consumption curve of a line item finance thought it had understood. That is the number I would watch first.

It can run headless, which means it could sit in delivery tooling rather than only on laptops, and that is the version I would evaluate. There is no identity integration and no central audit record. Approved with conditions: one pilot team, our own host, and consumption reported monthly.

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

MIT, `npx cezar-cli`, and it borrows the CLI logins and gh credentials already sitting on my box rather than asking me to paste keys into a new config.

7.8
Reasoning and trade-offs · AI analysis

No accounts, no database, no cloud. That sentence is in the row and for once it is accurate: the thing runs on my machine, reuses the authentication I already set up, and stores everything inside the repository where I can grep it. A permissive licence means a fork survives whatever the vendor decides next.

The limits are honest ones. No MCP client, so my servers reach it only through the agents it dispatches to, and no local weights, because the backends it drives are hosted tools. It is a scheduler, and it does not pretend otherwise.

reliability
8
usefulness
8
cost
9
longevity
6
Agree with El Hacker?