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Context Room

Documentation control room for the era of AI agent loops.

AI agents can now loop on tasks for hours and days to create the biggest projects. In that world, the highest-leverage part of a project is no longer the source code. It is the documentation that tells agents what the project is, how it works, what matters, what are the features, all the details of the features it needs, and which reusable skills or procedures should guide future work.

Context Room is built around one belief: if you maintain excellent documentation, you can build the best AI-native projects.

It gives any repository a local browser UI to manage, navigate, and verify the docs and skills that keep agents aligned.

What it does

Context Room helps you:

  • organize project documentation into cards and nested cards;
  • define which folders and files matter most;
  • mark critical documentation as watched;
  • see what an agent changed in watched docs;
  • review those changes with Git-backed diffs;
  • verify that documentation updates are correct;
  • map docs to metadata, source files, startup instructions, and hub cards;
  • run health checks for stale docs, broken references, missing metadata, and duplicate canonical docs;
  • generate a deterministic task brief from local docs, without calling an LLM;
  • keep the review state local to the project;
  • let an AI agent install and configure the documentation map for you.

Documentation can include traditional docs, project instructions, agent context files, runbooks, operating procedures, prompts, skills, decision records, or any other text files that shape how humans and agents understand the project.

Why this exists

AI agents are only as good as the context they inherit.

When documentation drifts, agents make worse decisions. When skills are stale, agents repeat old mistakes. When important files change without review, the whole project can slowly lose coherence.

Context Room gives you a simple loop:

  1. choose the docs and skills that matter;
  2. let humans and agents improve them;
  3. see every important documentation change;
  4. inspect the diff;
  5. mark it verified when it is actually correct.

The goal is not to replace your editor or Git workflow. The goal is to make documentation maintenance visible, reviewable, and easy enough that it actually happens.

Install

From npm:

npm install -D context-room
npx context-room init --title "My Project"
npx context-room start --root . --port 4317

From this repo checkout:

npm test
node bin/context-room.mjs init --root /path/to/project --title "My Project"
node bin/context-room.mjs start --root /path/to/project --port 4317

Then open:

http://127.0.0.1:4317

Project config

context-room init writes:

.context-room/config.json
.context-room/review-state.json

Everything an agent needs to configure lives in .context-room/config.json: cards, nested cards, editable paths, watched docs, and optional integrations. The file includes a JSON Schema for editor autocomplete and agent validation.

See docs/agent-configuration.md for the agent-facing configuration guide.

Minimal config:

{
  "$schema": "https://raw.githubusercontent.com/Swarek/context-room/main/schemas/config.schema.json",
  "title": "My Project",
  "allowedPaths": ["docs/", "skills/", "README.md", "AGENTS.md"],
  "watchAllow": ["docs/", "skills/", "AGENTS.md"],
  "startupContext": {
    "enabled": true,
    "fileNames": ["AGENTS.md", "CLAUDE.md"]
  },
  "hubSections": [
    {
      "id": "main",
      "title": "Documentation",
      "cards": [
        {
          "id": "docs",
          "title": "Docs",
          "path": "docs/",
          "autoChildren": true,
          "cards": [
            { "id": "architecture", "title": "Architecture", "path": "docs/architecture/" },
            { "id": "decisions", "title": "Decisions", "path": "docs/decisions/" }
          ]
        },
        {
          "id": "skills",
          "title": "Skills",
          "path": "skills/"
        },
        {
          "id": "agent-context",
          "title": "Agent context",
          "paths": ["AGENTS.md", "CLAUDE.md", ".hermes.md"]
        }
      ]
    }
  ]
}

allowedPaths is the safety boundary. Context Room will only read/write editable text files inside those paths.

watchAllow controls the review queue. A watched folder includes changed tracked files and new untracked files inside it.

reviewPaths keeps important files or folders in the review queue until a human marks the current content verified, even when Git has no diff for them.

startupContext optionally lists agent instruction filenames such as AGENTS.md and CLAUDE.md from the filesystem root down to the Context Room root. These files are shown read-only and do not pollute the explorer.

autoChildren: true on a folder card tells Context Room to infer sub-cards from the folder's immediate files and subfolders.

Documentation metadata

New structured docs include lightweight frontmatter:

---
context_room:
  kind: canonical
  scope: website
  status: current
  canonical_for: billing
  last_verified: 2026-06-26
  sources: [src/billing.ts, docs/pricing.md]
---

Supported kind values: agents, index, canonical, procedure, decision.

Supported status values: current, draft, historical, superseded.

This metadata powers doctor, the context graph, strict guard mode, and deterministic briefs. Existing Markdown without metadata still works, but watched or hub-visible docs will be reported as weaker context.

CLI

context-room init [--title "My Project"] [--allow docs/,skills/,README.md,AGENTS.md] [--watch docs/,skills/]
context-room start [--root .] [--port 4317]
context-room doctor [--root .] [--strict]
context-room guard [--root .] [--profile review-only|strict|advisory]
context-room brief [--root .] [--task "change billing onboarding"] [--limit 12]
context-room install-hook [--root .]

doctor prints config, graph, metadata, link, startup-context, and hub health.

guard defaults to review-only: it exits with a non-zero status when watched documentation has changed but has not been marked verified in Context Room. strict also blocks on high-impact health issues. advisory reports issues but exits zero.

brief is deterministic and local. It ranks docs from startup context, metadata, hub visibility, watched status, and task keywords. It does not call an LLM.

install-hook wires the review-only guard into .git/hooks/pre-commit, so commits are blocked until the watched docs review queue is clear.

Agent setup prompt

Use this in Hermes, Claude Code, Codex, OpenCode, or another coding agent:

Install Context Room in this repository.

Goal: make the project documentation and agent skills easy to navigate, maintain, and verify.

1. Run `npx context-room init` or the local `node bin/context-room.mjs init`.
2. Inspect the repo structure.
3. Identify the documentation, agent instructions, skills, runbooks, and decision records that shape future agent work.
4. Configure `.context-room/config.json` with useful cards and nested cards.
5. Put only safe editable text surfaces in `allowedPaths`.
6. Put the important docs and skills in `watchAllow`.
7. Run `context-room install-hook` if commits should be blocked until watched docs are verified.
8. Run `context-room doctor` and `context-room start`.
9. Smoke-test the UI at http://127.0.0.1:4317.

Do not include secrets, .env files, build outputs, node_modules, private data exports, or generated artifacts.

Open-source release checklist

Before publishing:

npm test
npm pack --dry-run

Recommended repo settings:

  • MIT license;
  • GitHub Actions running npm test on Node 20 and 22;
  • npm provenance when publishing;
  • screenshots/GIF after first public polish pass.

Development

npm test
node bin/context-room.mjs init --root /tmp/demo-project --title Demo
node bin/context-room.mjs start --root /tmp/demo-project

The package has no runtime dependencies beyond Node.js built-ins.

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Documentation control room for the era of AI agent loops

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