Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.
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。
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": {
"kawacode": {
"command": "npx",
"args": [
"-y",
"@kawacode/mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add kawacode -- npx -y @kawacode/mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"kawacode": {
"command": "npx",
"args": [
"-y",
"@kawacode/mcp"
]
}
}
}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": {
"kawacode": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@kawacode/mcp"
]
}
}
}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。
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6日にチェック
レジストリ名はドメイン kawacode.ai で確認済みです(レジストリがドメインの所有を確認しています)
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(10.1.1)がレジストリに届いたのは3 日前です。
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
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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。
Team-aware memory for AI coding assistants. Track intent, record decisions, and see when a teammate is editing the same code — in real time, before commit.
@kawacode/mcp is the official Model Context Protocol (MCP) server for Kawa Code. It lets Claude Code, Cursor, and any MCP-compatible AI assistant:
gh, tiers 2 and 4 are skipped automaticallyAdd the MCP in your AI configuration, for example on Claude Code:
claude mcp add -s user kawa-intents -- npx -y @kawacode/mcp
For Cursor AI, install the MCP with npm install -g @kawacode/mcp and add it to ~/.cursor/mcp.json.
{
"mcpServers": { "kawa-intents": { "command": "kawacode-mcp" } } }
Note that the MCP will not be automatically updated to future versions in this scenario. To upgrade to a newer release, run npm update -g @kawacode/mcp.
For the project you want Kawa Code to run on, create a .mcp.json file in your project root (recommended for teams — commit it to git):
{
"mcpServers": { "kawa-intents": { "type": "stdio", "command": "npx", "args": ["-y", "@kawacode/mcp"] } } }
The MCP server works together with the Kawa Code application, Kawa Code IDE extensions, and AI code generators such as Cursor AI and Claude Code.
Retired 2026-08-14. Do not wire this up. Kawa Code no longer installs it, and the setup wizard no longer asks for it.
This hook fired before every Edit/Write and surfaced prior reasoning attached to the file being changed. It was retired because its retrieval could not reach the decisions that mattered: it read only the most recently updated 100 decisions per repository, and architectural constraints — precisely what it existed to surface — are written once and then age out of a recency window permanently. On one of our own repositories, 160 decisions were of the surfaced types and only 17 were still inside that window.
If you already installed it, nothing breaks. The kawacode-on-pre-edit binary still ships, and an existing entry in your settings.json keeps working. Kawa Code will not remove it for you — delete it yourself if you want it off:
"PreToolUse": [ { "matcher": "Edit|Write", "hooks": [ … ] } ]
Nothing is lost on team coordination. The live collision signal moved to the Stop hook some time ago, and that is now the only edit-level coordination surface. It reports teammates whose *in-progress, uncommitted* edits overlap the lines you touched this turn — conflict detection before a merge conflict can exist. See Team conflict detection.
git log shows what changed; Kawa shows why.Kawa Code is built for more than one worker on a repository at a time — that's what the conflict detection is *for*. If those workers are AI agents you're running yourself, give each one its own git worktree. Agents sharing a single checkout overwrite each other's edits with no conflict marker and no git history: nothing is committed between the two writes, so nothing notices.
In Claude Code, background sessions already require a worktree — worktree.bgIsolation defaults to "worktree", which blocks edits to the main checkout until the session enters one. You only need to touch it if a project has explicitly opted out with "none". Subagents take isolation: "worktree" per spawn.
Two settings are worth tuning, because the defaults surprise people:
{
"worktree": { "baseRef": "head", "symlinkDirectories": ["node_modules", "target"] } }
"fresh", which branches from origin/ . If you work on unpushed commits, set "head" to branch from your local HEAD instead. Either way this is a *commit* boundary: uncommitted working-tree changes don't travel into a new worktree, so land your work before spawning agents that need it.node_modules is the same content for every worktree, and sharing it costs nothing. Do not symlink compiled-language build output — target/, build/, obj/. Those tools name artifacts deterministically from the crate/module and its inputs, *without* encoding which checkout they came from, so two worktrees building into one directory write the same filenames and silently overwrite each other. The symptom is the dangerous part: your suite goes green while running another checkout's binaries. Only a test that resolves a path baked in at compile time (Rust's env!("CARGO_MANIFEST_DIR"), include_str!, or an equivalent) will notice; everything else passes. If a suite ever looks suspiciously green after another checkout built in the same place, clean the build directory and re-run before believing it.Because compiled build directories can't be shared, they multiply — one per worktree, each growing independently, and they get large enough to matter (a mature Rust target/ reaches hundreds of gigabytes). Two things keep that affordable, and they solve different halves:
sccache is safe across worktrees precisely because it caches *results* keyed by input hash rather than sharing an output directory.cargo-sweep removes stale artifacts by age or to a size cap; wire it into whatever cadence fits your setup — after merging a worktree back is a natural trigger. One caveat worth knowing before you rely on it: sweeping only reclaims artifacts the build tool still tracks. If that index has been lost, the leftovers are orphaned and a sweep reports nothing to do no matter the flags — a full clean is the only thing that reclaims them.Isolation alone would just give you several agents doing overlapping work in private. Kawa's job is the coordination on top.
Each agent session gets its own identity, and intents are tracked per session — so several intents can be active on one repository at once, each with its own current focus, without a lock and without agents clobbering each other's context. From there the normal machinery applies across agents exactly as it does across teammates: get_relevant_context surfaces what the *other* agents have already decided, create_and_activate_intent hands the user a decision in Kawa Code when new work overlaps something already in flight, and the Stop hook reports, once per turn, where another agent's live edits intersect yours.
The practical result: your agents inherit each other's decisions instead of re-deriving them, and you find out about overlapping work while it's still cheap to redirect — not at merge time.
Kawa can do more than *report* an overlap — arbiter_resolve judges each one, and arbiter_apply will write the safe tier of merge for you. That write is deliberately gated:
arbiter_applywrites only in an agent-owned worktree. On a human checkout — or when a peer holds the file-set lock — it stays suggest-only.
This is the sharpest practical reason to put agents in worktrees. Run them on a shared checkout and auto-resolution silently never engages; you get the conflict surfaced and nothing else, with no error to tell you a capability was switched off. The guardrail is intentional — Kawa won't rewrite a human's working tree underneath them — but it does mean the setup decides whether half the feature is available.
When an agent asks to start work that overlaps an intent already in flight, the agent doesn't get to decide. Kawa Code parks the request and asks you, in the Orchestration panel: create_and_activate_intent returns pending_approval with a pendingId, and the agent re-checks that id as it goes.
A parked overlap is not a stop. Nothing in Kawa Code halts an agent mid-task, and nothing is meant to — a refusal that froze the session would strand it for as long as you were away, and by the time you read the card the edits are usually already on disk. So the agent tells you the card is waiting and carries on with whatever doesn't depend on the intent existing. Cancelling behaves the same way: it withholds the intent and *asks* the agent to stop, so the card reports how many turns that session has taken since you cancelled rather than pretending the work was undone.
Check the panel's scope first — this is the usual cause, not expiry. Orchestration reads across repositories by default, but scoped to the current project it lists only cards for the repository you have focused, and the agent that parked the request is often working in a different one. Widen the scope, or focus that repository.
A parked request has a 24-hour window, but the window bounds how long the agent waits, not how long you have:
| when | the agent | your card |
|---|---|---|
| within 24h | re-checks the pendingId as it works | in the panel, marked needs your decision |
| after 24h | told the request lapsed, and to ask again | still in the panel, marked Lapsed — and still answerable |
**Expiry marks a request stale; it does not
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