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ContextLib

by willykeenanversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.willykeenan/agentbrain-contextlib

Install

Overview

Description from the maker (original English)

A project's long-term memory as plain Markdown files, with an append-only, tamper-evident log.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agentbrain-contextlib": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/willykeenan/agentbrain-contextlib:0.1.0",
        "mcp",
        "--identity",
        "{identity}"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agentbrain-contextlib -- docker run -i --rm ghcr.io/willykeenan/agentbrain-contextlib:0.1.0 mcp --identity '{identity}'

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentbrain-contextlib": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/willykeenan/agentbrain-contextlib:0.1.0",
        "mcp",
        "--identity",
        "{identity}"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentbrain-contextlib": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/willykeenan/agentbrain-contextlib:0.1.0",
        "mcp",
        "--identity",
        "{identity}"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account willykeenan, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7246 servers in this category
  • Published to the registry more recently than 49% of the other 7246 servers in this category
  • Basic checks equal to or better than 100% of the other 7246 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ContextLib safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 41 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ContextLib

A project library that outlives every agent session.

Real screenshot of the sample library (an invented project).

A ctxlib session: an owner's decision lands current, an agent's lesson waits in the inbox, a secret is refused, and doctor passes.

Each project's knowledge — decisions, requirements, facts, lessons, glossary, sources and returned work — is stored as plain Markdown files with a small front-matter block, in one folder per project. The folders can sit on an external SSD. A person can understand a project from Finder alone. Agents read and write the same files through a CLI (ctxlib) and an MCP server (context_* tools). Any database is a search index rebuilt from the files, never the source of truth.

It is the open core of the context plugin of AgentBrain.

The Python package is agentbrain_contextlib. The CLI is ctxlib. Python 3.9+, standard library only. Git is optional.

Why

Agent sessions end. Chat logs drift. A store that only a model can parse is a dead end the first time you open Finder on an airplane.

ContextLib keeps the durable layer as files you can read, diff, copy, and take to another Mac. The search index is disposable. The Markdown is the product.

60-second quickstart

pip install "git+https://github.com/willykeenan/agentbrain-contextlib"

ctxlib init ~/ContextLib --project lighthouse-app \ --name "Lighthouse App" \ --purpose "Harbor dashboard for lamp status, fog signals, and traffic"

ctxlib add lighthouse-app decision "Use keeper logs as lamp status" \ --body "Decision: Lamp status comes from keeper logs, not AIS." \ --author mara \ --tag lamp --tag keeper-log

ctxlib brief lighthouse-app ctxlib doctor lighthouse-app --ten-minute

The library path is --library PATH, else env CONTEXTLIB_ROOT, else ~/ContextLib.

A finished sample you can open in Finder without installing anything lives at examples/sample-library/. Start at that README, then the project BRIEF, then decisions/INDEX.md.

Full walkthrough: docs/QUICKSTART.md.

CLI (ctxlib)

ctxlib [--library PATH] COMMAND
CommandWhat it does
init PATH [--project SLUG --name NAME --purpose TEXT]Create a library (and optionally the first project)
project add SLUG NAME [--purpose]Add a project folder
project listList projects
`add PROJECT TYPE TITLE (--body TEXT \--body-file F) --author ID [options]`Write a record (--evidence, --tag, --review-by, --approved-by)
get PROJECT IDPrint one record, with evidence state and supersession chain
search PROJECT QUERY [--type] [--all]Search the rebuildable index
brief PROJECTPrint the always-loaded summary (≤ 8192 bytes)
supersede PROJECT OLD NEW --reason TEXT --author IDMark old superseded, move the file, keep the body hash
`review PROJECT ID confirm\retire --note TEXT --author ID`Confirm or retire a record
inbox PROJECTList proposed records
accept PROJECT ID --author IDMove inbox → current
reject PROJECT ID --reason TEXT --author IDMove inbox → rejected
due PROJECTRecords whose review_by is due
`regen PROJECT\--all`Rewrite BRIEF, INDEX, GLOSSARY, TIMELINE, README
rebuildRebuild the SQLite search index from files
capture PROJECT RESULT.jsonTurn a result file into a return (and proposed lessons)
import-md PROJECT FILE --type TYPE --author IDMarkdown file → record
export PROJECT OUT_DIR [--include-private]Zip a project
import BUNDLEImport a zip
doctor [PROJECT] [--ten-minute]Plain-English health check
syncgit pull / git push when the library is a git repo; otherwise a no-op with a message
mcp --identity IDStdio MCP server; the identity is fixed for the process

Types: decision, requirement, fact, lesson, glossary, source, return, brief-note.

MCP (context_* tools)

ctxlib mcp --identity ID is a stdio JSON-RPC server. Protocol versions: 2024-11-05, 2025-03-26, 2025-06-18.

Tools: context_brief, context_search, context_get, context_record, context_supersede, context_review_due, context_review, context_capture, context_export, context_import, context_status.

The identity is fixed at start. Tools cannot write as another identity. Errors come back as isError results.

Claude Code
{

"mcpServers": { "contextlib": { "command": "ctxlib", "args": ["mcp", "--identity", "claude:project"], "env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" } } } }

Codex
{

"mcpServers": { "contextlib": { "command": "ctxlib", "args": ["mcp", "--identity", "codex:project"], "env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" } } } }

Cursor

In .cursor/mcp.json (project) or ~/.cursor/mcp.json (user):

{

"mcpServers": { "contextlib": { "command": "ctxlib", "args": ["mcp", "--identity", "cursor:project"], "env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" } } } }

Details: docs/MCP.md.

Record format

A record is UTF-8 Markdown. It starts with a YAML-like front-matter block (scalars, quoted strings, lists of scalars, lists of flat maps) and a Markdown body. The body hash is stored in the front-matter; bodies are not rewritten.

---

id: dec-20260926-7f3a type: decision title: Use plain files as the source of truth status: current project: lighthouse-app scope: {lane: workstream, team: owner} created: 2026-09-26T14:03:00Z author: mara approved_by: mara — "files first, database is only an index" evidence:

  • {ref: "project:BRIEF.md"}
  • {ref: "url:https://example.com/x"}

supersedes: [] superseded_by: null review_by: 2027-03-25 tags: [storage, library] sensitivity: normal body_sha256: "…"


Decision: … Why: … Consequences: … How to verify: …

Evidence refs are project: , ssd: , room: # , url: , or note: . Absolute home paths and secrets are refused at write time.

Ids: - -<4 hex> with prefixes dec, req, fact, les, glo, src, ret, note.

Files: _ _ .md. Superseded records move to superseded/ with the body hash still valid.

Library layout

<library root>/

├── README.md how to read this in 10 minutes ├── INDEX.md one line per project ├── library.json {"format": "contextlib/1", "library_id", "created"} └── projects/ / ├── README.md BRIEF.md GLOSSARY.md TIMELINE.md project.json ├── decisions/ requirements/ facts/ lessons/ glossary/ sources/ returns/ │ ├── INDEX.md │ ├── _ _ .md │ └── superseded/ ├── inbox/ proposed records ├── exports/ └── .contextlib/ ledger + rebuildable index.sqlite

Keeping the library on an SSD, using it unplugged, and moving it between Macs: docs/SSD.md.

Develop

PYTHONPATH=src python3 -m unittest discover -s tests

python3 tools/check.py packaging

Python 3.9+, standard library only. See CONTRIBUTING.md and CHANGELOG.md.

Apache-2.0, copyright KE Studios. SECURITY.md for reports.

ContextLib is the open library layer of AgentBrain (agentrooms.io).

Run with Docker

The image is published at ghcr.io/willykeenan/agentbrain-contextlib for Apple silicon and Intel. Mount your library at /library:

claude mcp add contextlib -- docker run -i --rm --user "$(id -u):$(id -g)" -v ~/ContextLib:/library ghcr.io/willykeenan/agentbrain-contextlib mcp --identity you
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