Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Developer memory CLI and MCP server. Remember decisions, preferences, and lessons locally.
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": {
"poppy": {
"command": "uvx",
"args": [
"poppy-memory",
"serve"
]
}
}
}ターミナルでこれを実行します
claude mcp add poppy -- uvx poppy-memory serveプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"poppy": {
"command": "uvx",
"args": [
"poppy-memory",
"serve"
]
}
}
}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": {
"poppy": {
"type": "stdio",
"command": "uvx",
"args": [
"poppy-memory",
"serve"
]
}
}
}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7日にチェック
レジストリ名はドメイン trags.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(0.3.6)がレジストリに届いたのは11 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Python (uv)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。
Poppy is a developer memory CLI and MCP server. Your AI coding agent stores decisions, preferences, and lessons in a local SQLite store, then recalls them when they're relevant. No cloud, no API keys, no per-query cost.
pipx install poppy-memory
Then wire up your agent, and restart it:
poppy setup claude-code # or: claude-desktop, cursor, vscode, windsurf, codex,
The package on PyPI is poppy-memory; the command it installs is poppy. No pipx? See Install for the other ways in, and for the one PATH check that saves most first-day trouble.
The order a new user walks, each step linking to its section:
command -v poppy should print a path. See Check your PATH.poppy setup . See Supported clients.poppy remember and poppy recall. See What it does.poppy setup trags, and approve it in the browser within five minutes. See Sync to Trags.poppy daemon install. See MCP daemon.Use the first option your machine already has:
pipx install poppy-memory. Needs pipx and Python 3.11 or newer.uv tool install poppy-memory. Needs only uv, which fetches its own Python. A fresh Mac has neither pipx nor uv.curl -fsSL https://trags.ai/install/poppy | sh. Needs Python 3.11 or newer. It uses pipx or uv when it finds one and otherwise installs into its own virtualenv.pipx and uv put the poppy command in ~/.local/bin. A fresh Mac often does not have that folder on its PATH, and the install still succeeds: uv only prints a warning. Check:
command -v poppy # prints a path such as /Users/you/.local/bin/poppy
If it prints nothing, add the folder to your shell profile and open a new terminal (pipx ensurepath or uv tool update-shell do the same):
echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.zshrc
This matters for your agent too. The hooks call poppy by name, so an agent that cannot find it fails every hook with poppy: command not found. An agent keeps the PATH it started with, so restart it after you fix PATH. poppy doctor checks only the PATH of the terminal you run it in, so it can report the hooks as fine while your agent still cannot find poppy.
poppy setup ends with Restart to activate. Do that. Agents read their MCP servers and hooks only when they start, so a session that was already open does not see Poppy until you quit and reopen it.
poppy remember "we always use uv for python deps" --type preference
poppy recall "python package manager"
poppy setup wires Poppy into a coding agent. Eleven clients have an integration today:
What supported means here: each integration is verified against its client at release time, and maintained best-effort between releases. These clients change on their own schedule, so when one of them breaks Poppy, that is a bug worth reporting as a GitHub issue rather than something that holds the next release back.
poppy doctor checks the integrations installed on your machine.
Setup treats any hook command of the form /poppy hook (including a versioned executable name such as poppy-0.3.3) as Poppy's own. It rewrites these commands to the current executable, so a deliberate pin to a development install is overwritten on the next setup and removed by --remove. Before downgrading, run poppy setup --remove with the current version, then set up again with the older version. Older versions do not recognise absolute-path hook entries and would add duplicates.
Claude Code can also load Poppy as a plugin, in place of poppy setup claude-code. Install poppy-memory first, as above. The plugin only connects Claude Code to the poppy command you already have.
claude plugin marketplace add trags-garden/poppy
claude plugin install poppy@trags-garden
Restart Claude Code afterwards.
The plugin gives Claude Code the same MCP server and the same five hooks that setup writes. It looks for poppy on the PATH and then in the folders pipx, uv and pip install --user install into, so it works when ~/.local/bin is not on Claude Code's PATH. In place of the CLAUDE.md block it ships a memory skill with the same text. Claude loads the skill when memory is relevant, and you can run it yourself with /poppy:memory. The plugin needs macOS or Linux. On Windows, use poppy setup claude-code.
Use the plugin or setup, not both. With the plugin installed, poppy setup claude-code does not add the MCP server or hooks and says so. Pass --claude-md to add the CLAUDE.md block next to the skill, so the primer loads in every session. If you ran setup before installing the plugin, run poppy setup claude-code --remove to remove setup's entries, or every hook runs twice. poppy doctor warns when it finds both, and fails when the plugin cannot find poppy.
The plugin does not ask for capture consent the way setup does. Answer the notice at session start, or run poppy autocapture on --global.
Remove client integrations before uninstalling the CLI, so leftover hooks do not fail with poppy: command not found on every session.
poppy setup claude-code --remove
poppy setup cursor --remove poppy setup codex --remove
This removes Poppy's MCP entry, hooks and managed primer blocks while preserving your other settings. If you installed the Claude Code plugin, also run claude plugin uninstall poppy@trags-garden. Other clients still need their Poppy entry and primer removed by hand: Claude Desktop's claude_desktop_config.json, VS Code's user-profile mcp.json, Windsurf, Gemini CLI, GitHub Copilot CLI ($COPILOT_HOME/mcp-config.json and copilot-instructions.md, default ~/.copilot), Pi ($PI_CODING_AGENT_DIR/mcp.json and AGENTS.md, default ~/.pi/agent), Goose, and Hermes Agent (plugin and SOUL.md guidance).
poppy daemon uninstall.pipx uninstall poppy-memory, or uv tool uninstall poppy-memory if you installed it with uv.rm -rf ~/.poppy. This permanently deletes your memories and local Poppy settings. If you use a custom POPPY_DIR, your data lives there instead.--remove leaves your memory store, daemon service, Trags key and capture consent untouched. It also keeps the .pre-poppy.bak backups that setup and removal write next to each client file; delete those too if you are removing Poppy for good, since a backup can hold the daemon token. Use it on its own, without installation flags such as --daemon, --hooks, --claude-md or --yes.
With the Claude Code, Cursor, or Codex hooks installed, Poppy can also extract durable memories from your sessions automatically: decisions, preferences, and lessons that would help a future session, written one sentence each.
Nothing is captured without your consent. Capture ships enabled by default but stays inert until you record a one-time consent. If you already had consolidate-enabled true set from an earlier version, that setting counts as your recorded consent and capture stays active with no new prompt. Setting POPPY_CONSOLIDATE=1 overrides the consent check entirely and turns capture on regardless. The unified command reports the resolved effect plus the project and global layers:
poppy autocapture # show resolved, project, and global status
poppy autocapture on --global # turn automatic capture on everywhere poppy autocapture off --global # opt out everywhere (persists across upgrades)
poppy setup claude-code asks once on a TTY (pass --yes for non-interactive installs). Until you decide, every session start shows a short notice and nothing runs. Opting out persists permanently; a later default change can never silently re-enable capture you turned off.
What fires when, once automatic capture is enabled globally:
Stop fires after each turn, so Poppy uses it only as a liveness signal and never as a flush.preCompact before compaction begins.Extraction runs through the coding-agent CLI you already use (claude, cursor-agent, codex, or gemini), on your existing login. That CLI sends the transcript excerpt to the model provider you already use, so no new third party sees your conversation. The store, your memories, and retrieval stay on your machine; retrieval runs on local ONNX models. Poppy sends nothing to Trags unless you turn sync on. It never auto-spends on a paid remote model: if only an AP
冒頭だけを表示しています。続きはリポジトリで読めます