agentboards.org

Agor

#136 agent harnessunverified row0.26.8

Self-hosted multiplayer web workspace that runs Claude Code, Codex, Gemini, OpenCode, Copilot and Cursor sessions on isolated git branches

Key differences

Self-hosted multiplayer web workspace that runs Claude Code, Codex, Gemini, OpenCode, Copilot and Cursor sessions on isolated git branches

  • Runs local and sandbox. Source-available under Business Source License 1.1 and self-hosted; you bring your own coding-agent subscriptions and provider keys
  • Acts as an MCP server. Listed for 37 of 194 tools in this category.
  • Includes a Docker sandbox. Listed for 48 of 194 tools in this category.
  • Keep in mind: Execution is configurable as trusted local, a fail-closed sandbox, or delegated to an external runner; Docker is one documented install path.

“Multiplayer with live cursors, so your colleagues can now watch you argue with a robot in real time.”

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What it is

Agor from Preset is a self-hosted board where every unit of work is a git branch with its own working directory, dev server on an auto-assigned port, conversation history and pull request, and where the coding-agent runtime is interchangeable per session. Sessions form a genealogy — fork to copy context, spawn subsessions with a fresh context window — and each prompt is accounted in tokens and dollars. Agor exposes itself over MCP so agents can fork, spawn, schedule and report on their own work, and adds optional multiplayer with live cursors, spatial comments and branch-scoped RBAC.

Specification

Source verification

Row snapshot checked not yet. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

readme
Needs individual review
docs
Needs individual review
install
Needs individual review
license
Needs individual review
protocols
Needs individual review
capabilities
Needs individual review

Architecture

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

Models

Backboneunsourced
via managed agents (Claude Code, Codex, Gemini CLI, OpenCode, GitHub Copilot, Cursor)
Bring your own model
Yes
Agor ships no model of its own; the model comes from whichever agent CLI or SDK the session is configured to use.
Local models
No

Protocols

MCP clientsrc ↗
Yes
MCP server
Yes
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
No
Sandboxed execution
Yes
Execution is configurable as trusted local, a fail-closed sandbox, or delegated to an external runner; Docker is one documented install path.
Multi-agent
Yes
Headless / CI
No

Cost

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

Source-available under Business Source License 1.1 and self-hosted; you bring your own coding-agent subscriptions and provider keys

Openness

Open sourcesrc ↗
No
License
BSL-1.1
First release
unknown
self-hostedmultiplayerworktreesbranchesmcpmulti-agentsource-available

Los Agentes on Agor

Who are they?
The ruling
El JuezThe judge

El Crítico's 5 and El Hacker's 5 arrive from opposite directions: one fears an agent that can spawn agents, the other fears a licence that is not open.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Crítico's objection is mechanical. The workspace exposes itself over the protocol so agents can fork, spawn and schedule their own sessions, which makes self-multiplication a supported feature rather than a bug. El Hacker's objection is legal, since source-available is not open source and his fork rights are conditional. El Profesor and El Amigo both like what sits between those two complaints.

El Crítico wins on what to configure and El Hacker wins on what to expect, and neither defeats the product for a team that wants shared agent work. Adopt with conditions: disable the self-scheduling tools until you have watched a week of sessions.

Agree with El Juez?
El AmigoThe friend

Pick Agor when agent work is something your team does together; pick cmux if you would rather run several agents privately from your own terminal.

6.3
Reasoning and trade-offs · AI analysis

The trait that decides it is that other people can see what you are doing. Live cursors and comments on a shared board turn agent work from a private activity into something a colleague can look at, question and take over, which is the missing piece in almost every tool of this shape.

That only pays off if your team actually wants to work that way, and plenty do not. Pick it when review happens continuously rather than at the end. Pick cmux when you would rather nobody watched the first three attempts.

reliability
6
usefulness
7
cost
7
longevity
5
Agree with El Amigo?
El CríticoThe critic

The workspace exposes itself over the protocol so agents can fork sessions, spawn subsessions and schedule work, which makes self-multiplication a documented feature.

5.8
Reasoning and trade-offs · AI analysis

The risk is recursion with a budget attached. An agent that can create more sessions, give them context and put work on a schedule can expand its own footprint without a person approving each step, and nothing documented caps the depth, the count or the spend of that expansion.

What it does right is attribution. Every unit of work is a branch with its own directory, conversation and pull request, so even a runaway fan-out leaves a legible trail rather than a tangle in one checkout.

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

Sessions form an explicit genealogy: forking copies context forward, spawning a subsession starts a fresh window, and the distinction is a real design decision.

6.8
Reasoning and trade-offs · AI analysis
  1. Most tools offer one relationship between related runs. Naming two, and giving them opposite context semantics, lets a user choose between continuity and cleanliness rather than discovering which they got. 2. That makes the context window a managed resource instead of an accident of session length.

  2. Per-prompt accounting in tokens and currency means the cost of each choice is observable, which is the measurement most of this category omits. No task benchmark is published, and none is claimed.

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

Business Source License 1.1 from a company whose actual product is elsewhere, which makes this a strategic side project with a licence designed to stop competitors hosting it.

6.3
Reasoning and trade-offs · AI analysis

The licence choice tells you the plan: source-available with a commercial restriction is what you pick when you intend to sell hosting later and do not want somebody else selling it first. The sponsor already runs a real business in a different category, so this is funded by a company that does not depend on it.

Moat: the licence, plus the multiplayer features that only matter at team scale. Likely path: a hosted tier, or a quiet fold into the parent's platform. Position: self-host it, read the conversion clause, and know when the terms change.

reliability
6
usefulness
6
cost
7
longevity
6
Agree with La Inversora?
La JefaThe CTO

Self-hosted with role-based access scoped to branches, which is a real access-control answer, and there is no unattended execution, so it never becomes a pipeline.

6.3
Reasoning and trade-offs · AI analysis

Permissions that follow the branch rather than the whole workspace is the first control model in this category I could actually map onto how my teams are organised, and self-hosting keeps the source inside our perimeter. Those two facts get this to a second meeting.

What holds it there is that a person has to be present for anything to happen, so it improves how sixty developers work and produces nothing my reporting can consume. The licence needs counsel's opinion before rollout. Approved with conditions: internal deployment, licence review, and one pilot team.

reliability
6
usefulness
6
cost
7
longevity
6
Agree with La Jefa?
El HackerThe tinkerer

Six interchangeable agent runtimes per session and an npm install, but the licence is source-available rather than open, so my fork rights come with conditions.

6.3
Reasoning and trade-offs · AI analysis

The runtime interchangeability is excellent: six coding agents behind one session concept, chosen per session, so I am never married to a vendor's client. The install is a single global package and a daemon I start myself, which is the right amount of ceremony.

The licence is where I stop. Source-available means I can read it and my rights to use a fork carry restrictions that a permissive project does not impose, and I have watched enough of these terms change to treat that as a real cost rather than a formality.

reliability
5
usefulness
7
cost
8
longevity
5
Agree with El Hacker?