Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
A project's long-term memory as plain Markdown files, with an append-only, tamper-evident log.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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}'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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account willykeenan, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 41 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
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.
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.
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.
ctxlib)ctxlib [--library PATH] COMMAND
| Command | What 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 list | List projects | |
| `add PROJECT TYPE TITLE (--body TEXT \ | --body-file F) --author ID [options]` | Write a record (--evidence, --tag, --review-by, --approved-by) |
get PROJECT ID | Print one record, with evidence state and supersession chain | |
search PROJECT QUERY [--type] [--all] | Search the rebuildable index | |
brief PROJECT | Print the always-loaded summary (≤ 8192 bytes) | |
supersede PROJECT OLD NEW --reason TEXT --author ID | Mark old superseded, move the file, keep the body hash | |
| `review PROJECT ID confirm\ | retire --note TEXT --author ID` | Confirm or retire a record |
inbox PROJECT | List proposed records | |
accept PROJECT ID --author ID | Move inbox → current | |
reject PROJECT ID --reason TEXT --author ID | Move inbox → rejected | |
due PROJECT | Records whose review_by is due | |
| `regen PROJECT\ | --all` | Rewrite BRIEF, INDEX, GLOSSARY, TIMELINE, README |
rebuild | Rebuild the SQLite search index from files | |
capture PROJECT RESULT.json | Turn a result file into a return (and proposed lessons) | |
import-md PROJECT FILE --type TYPE --author ID | Markdown file → record | |
export PROJECT OUT_DIR [--include-private] | Zip a project | |
import BUNDLE | Import a zip | |
doctor [PROJECT] [--ten-minute] | Plain-English health check | |
sync | git pull / git push when the library is a git repo; otherwise a no-op with a message | |
mcp --identity ID | Stdio MCP server; the identity is fixed for the process |
Types: decision, requirement, fact, lesson, glossary, source, return, brief-note.
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.
{
"mcpServers": { "contextlib": { "command": "ctxlib", "args": ["mcp", "--identity", "claude:project"], "env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" } } } }
{
"mcpServers": { "contextlib": { "command": "ctxlib", "args": ["mcp", "--identity", "codex:project"], "env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" } } } }
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.
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:
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 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.
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).
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