Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Local-first, state-centric memory for coding agents. MCP server + CLI.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
MONET_STORAGE_DIR必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"monet": {
"command": "npx",
"args": [
"-y",
"@team-monet/monet",
"start"
],
"env": {
"MONET_STORAGE_DIR": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add monet --env MONET_STORAGE_DIR=your-value -- npx -y @team-monet/monet start動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"monet": {
"command": "npx",
"args": [
"-y",
"@team-monet/monet",
"start"
],
"env": {
"MONET_STORAGE_DIR": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"monet": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@team-monet/monet",
"start"
],
"env": {
"MONET_STORAGE_DIR": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
MONET_STORAGE_DIR envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント team-monet で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(1.12.0)がレジストリに届いたのは昨日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Up-to-date docs for AI agents
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Memory should change what your agent does.
🌐 [team-monet.com](https://team-monet.com/) · listed on the [MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.team-monet/monet)
Monet is local-first memory for coding agents, built for the outcome you meant. It keeps what you and your team actually want — principles, rules, corrections — and delivers it while the agent works: principles always on, rules read at the moment they bind, corrections recorded so they never need making twice. It runs 100% locally (SQLite + on-device embeddings) and speaks MCP.
The easiest way to use Monet is to let your agent install and wire it for you. Paste one line into Claude Code (more agents coming soon):
Set up Monet for all my projects: read https://raw.githubusercontent.com/team-monet/monet/main/harness/bootstrap/install.md and follow it, checking with me at each step.
Your agent installs Monet, wires up the MCP server, and pulls in a memory-aware agent team — no manual config, no environment variables. That's the with-monet harness, which lives in harness/ in the Monet repo, and it's the recommended path.
⭐ If Monet helps, [star Monet on GitHub](https://github.com/team-monet/monet) — it's the best way to support the project.
Monet keeps one local store at ~/.monet and automatically organizes each project into its own *circle* — nothing to set up. Everything stays on your machine.
Run as many agent sessions as you like: they share one copy of the embedding model, so another session costs tens of megabytes rather than gigabytes. The first session that needs the model starts one background process (model-host) to hold it. It is reachable only by your own user, never over the network, and it exits by itself after a few idle minutes; the next session that needs it starts it again. It works through one request at a time, so a very long write makes other sessions wait. If it ever stops answering, the waiting call fails after ten minutes and says which process to end.
monet dashboardRun one command to open a local web view of your Monet memory as an explorable, force-directed graph:
monet dashboard
It opens in your browser automatically — if it doesn't (some Windows/headless setups), the terminal prints the URL (http://localhost:7373) and the store path; just visit that URL. The Graph tab is the main view: nodes are concepts (colored by kind, sized by importance), edges are the relationships between them, and a detail panel lets you read any concept's full body and evidence. The Concepts, Entities, Timeline, and Health tabs are sortable tables — Health surfaces contradictions, duplicates, and low-confidence concepts. If the graph looks empty, check the Store: line in the terminal: an empty graph usually means it's pointed at the wrong store (use -d) or the store is just new.
100% local. Fully offline. Strictly read-only. The server copies your store into a temporary snapshot on each request — the live database is never written to or locked. No network connections are made; run it with wifi off and the graph still renders.
monet dashboard # opens at http://localhost:7373
monet dashboard -p 8080 # -p, --port custom port monet dashboard -d ./path # -d, --dir point at a specific store
monet doctor / monet repairIf Monet reports an embedder pin mismatch, an interrupted embedding migration, malformed vectors, or an unavailable local model, start with the read-only diagnostic command:
monet doctor
monet doctor --check-provider # also load and probe the exact pinned provider monet doctor --dir ~/.monet --json # machine-readable result; diagnostics stay on stderr
doctor prints the absolute database path, SQLite integrity and schema, the durable model pin, all four live embedding populations (including dimensions and malformed-row samples), any migration sentinel, and copy-paste next commands. It does not construct MonetCore or alter the database. A healthy diagnosis exits 0; a completed diagnosis that needs recovery or provider action exits 2; inspection failures exit 1. An unavailable provider is reported separately from store safety—for example, an unsupported hashing tokenizer or missing ONNX cache does not by itself mean the database is corrupt. For an ONNX or custom model ID whose shape cannot be proven from the pin alone, --check-provider can reconcile an otherwise unknown assessment only when the exact provider loads and every clean live population has the same matching vector width.
A host that cannot start the server reports only that the connection closed — the transport does not exist until every fallible startup step has already succeeded, so there is no protocol channel left to explain a failure. The cause is written beside the store instead, at monet.db.startup-failure.json: the step it died in, the error and its code, the time, and the pid. The record is a sidecar of one database, named after it, so a directory holding more than one store never mixes their diagnoses. doctor prints that record on stderr before anything else, including when the store itself is too damaged to inspect.
The record holds only the most recent failure, and a later successful start does not clear it — hosts retry, so fail → fail → succeed is ordinary, and clearing on success would erase the evidence of the attempts that failed. Read the timestamp before acting on it.
Repairs are previews unless both confirmation flags are present. Choose exactly one mode:
# Preview a complete rewrite to a built-in provider alias.
monet repair --target hashing monet repair --target onnx
monet repair --target 'hashing:dim=256:tok=2' --json
monet repair --target hashing --apply --yes
monet repair --resume monet repair --resume --apply --yes
monet repair --abandon monet repair --abandon --apply --yes
Preview classifies the durable state before offering an apply command. An empty unpinned store or a clean, provider-compatible same-target store reports action: none; no backup or rewrite is needed, and --apply --yes refuses. Abandon preview also refuses unless a sentinel exists and core diagnostics classify it as safe. A valid target or resume preview loads and probes the exact provider but does not open the database for mutation. Apply preflights the provider again, takes exclusive SQLite ownership, and creates a verified backup before core can migrate schema or embeddings. Backups are automatic and cannot be disabled or redirected:
<storage-directory>/backups/monet-before-repair-<UTC>-<uuid>.db
The backup path is printed immediately and retained if later work fails. Stop other Monet processes if exclusive ownership cannot be acquired, then rerun the same command. Do not delete an active migration sentinel or edit the pin manually: use --resume, or use --abandon only when its preview says core classifies abandonment as safe. Successful previews and applies exit 0; invalid flags, provider failures, locks, unsafe abandon attempts, backup failures, and migration failures exit 1.
Monet is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0-only). Full terms are in the LICENSE file included in this package. The with-monet harness is licensed separately under the Apache License 2.0.