driftnet

Name: driftnet
Author: KevinChu1110

作者：KevinChu1110バージョン 1.2.1i★ –iパソコンで動く

レジストリ名io.github.KevinChu1110/driftnet

インストール

概要

作者による説明（英語の原文）

A local catalogue of the links your chats share: search, save and file them. Any model, or none.

PopNx MCPの3つの柱

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。

利用者の声iレビューはまだありませんレビューは今後のステップで、アカウント機能と一緒に始まります
私たちの基本チェックi1項目中1項目に合格公開情報からチェック。コードはまだスキャンしていません
利用状況i未計測★ –

できること

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。

接続方法: パソコンで動く
トランスポート: stdio
カテゴリ: 検索・AIの記憶
入力が必要なもの：DRIFTNET_LLM_API_KEY, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_BEARER_TOKEN_BEDROCK

インストール

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。

インストールの前に

基本チェック：1項目中1項目に合格
あなたのパソコンで、あなたのユーザーと同じ権限（ファイル、ネットワーク、アプリ）で動きます。
自分で入力するもの： DRIFTNET_HOME, DRIFTNET_LLM_PROVIDER, DRIFTNET_LLM_MODEL, DRIFTNET_LLM_API_KEY, DRIFTNET_LLM_BASE_URL, DRIFTNET_LLM_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_BEARER_TOKEN_BEDROCK, GOOGLE_APPLICATION_CREDENTIALS, GOOGLE_CLOUD_PROJECT, DRIFTNET_JUDGE, DRIFTNET_JUDGE_RULES, DRIFTNET_LANGUAGE, DRIFTNET_AGENT

「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。

必要なもの

npmNode.jsのインストール（npxコマンドに必要）

どのアプリを使っていますか？

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "driftnet": {
      "command": "npx",
      "args": [
        "-y",
        "driftnet",
        "mcp"
      ],
      "env": {
        "DRIFTNET_HOME": "your-value",
        "DRIFTNET_LLM_PROVIDER": "your-value",
        "DRIFTNET_LLM_MODEL": "your-value",
        "DRIFTNET_LLM_API_KEY": "your-value",
        "DRIFTNET_LLM_BASE_URL": "your-value",
        "DRIFTNET_LLM_REGION": "your-value",
        "AWS_ACCESS_KEY_ID": "your-value",
        "AWS_SECRET_ACCESS_KEY": "your-value",
        "AWS_BEARER_TOKEN_BEDROCK": "your-value",
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value",
        "GOOGLE_CLOUD_PROJECT": "your-value",
        "DRIFTNET_JUDGE": "your-value",
        "DRIFTNET_JUDGE_RULES": "your-value",
        "DRIFTNET_LANGUAGE": "your-value",
        "DRIFTNET_AGENT": "your-value"
      }
    }
  }
}

ターミナルでこれを実行します

claude mcp add driftnet --env DRIFTNET_HOME=your-value --env DRIFTNET_LLM_PROVIDER=your-value --env DRIFTNET_LLM_MODEL=your-value --env DRIFTNET_LLM_API_KEY=your-value --env DRIFTNET_LLM_BASE_URL=your-value --env DRIFTNET_LLM_REGION=your-value --env AWS_ACCESS_KEY_ID=your-value --env AWS_SECRET_ACCESS_KEY=your-value --env AWS_BEARER_TOKEN_BEDROCK=your-value --env GOOGLE_APPLICATION_CREDENTIALS=your-value --env GOOGLE_CLOUD_PROJECT=your-value --env DRIFTNET_JUDGE=your-value --env DRIFTNET_JUDGE_RULES=your-value --env DRIFTNET_LANGUAGE=your-value --env DRIFTNET_AGENT=your-value -- npx -y driftnet mcp

動かす前に、空欄の値を入力してください。

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

{
  "mcpServers": {
    "driftnet": {
      "command": "npx",
      "args": [
        "-y",
        "driftnet",
        "mcp"
      ],
      "env": {
        "DRIFTNET_HOME": "your-value",
        "DRIFTNET_LLM_PROVIDER": "your-value",
        "DRIFTNET_LLM_MODEL": "your-value",
        "DRIFTNET_LLM_API_KEY": "your-value",
        "DRIFTNET_LLM_BASE_URL": "your-value",
        "DRIFTNET_LLM_REGION": "your-value",
        "AWS_ACCESS_KEY_ID": "your-value",
        "AWS_SECRET_ACCESS_KEY": "your-value",
        "AWS_BEARER_TOKEN_BEDROCK": "your-value",
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value",
        "GOOGLE_CLOUD_PROJECT": "your-value",
        "DRIFTNET_JUDGE": "your-value",
        "DRIFTNET_JUDGE_RULES": "your-value",
        "DRIFTNET_LANGUAGE": "your-value",
        "DRIFTNET_AGENT": "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。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

{
  "servers": {
    "driftnet": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "driftnet",
        "mcp"
      ],
      "env": {
        "DRIFTNET_HOME": "your-value",
        "DRIFTNET_LLM_PROVIDER": "your-value",
        "DRIFTNET_LLM_MODEL": "your-value",
        "DRIFTNET_LLM_API_KEY": "your-value",
        "DRIFTNET_LLM_BASE_URL": "your-value",
        "DRIFTNET_LLM_REGION": "your-value",
        "AWS_ACCESS_KEY_ID": "your-value",
        "AWS_SECRET_ACCESS_KEY": "your-value",
        "AWS_BEARER_TOKEN_BEDROCK": "your-value",
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value",
        "GOOGLE_CLOUD_PROJECT": "your-value",
        "DRIFTNET_JUDGE": "your-value",
        "DRIFTNET_JUDGE_RULES": "your-value",
        "DRIFTNET_LANGUAGE": "your-value",
        "DRIFTNET_AGENT": "your-value"
      }
    }
  }
}

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。

自分で入力する値

DRIFTNET_HOME env
Where settings and the catalogue live (default ~/.driftnet)
DRIFTNET_LLM_PROVIDER env
anthropic, openai, gemini, bedrock, vertex, claude-cli or gemini-cli; empty for no summaries
DRIFTNET_LLM_MODEL env
Model name for that provider
DRIFTNET_LLM_API_KEY 秘密 env
API key for that provider (gemini also reads GEMINI_API_KEY; for vertex it may be a raw access token)
DRIFTNET_LLM_BASE_URL env
OpenAI-compatible endpoint for the openai provider (Ollama, OpenRouter, Gemini…)
DRIFTNET_LLM_REGION env
Region for the bedrock provider (or AWS_REGION) and the vertex provider (default us-central1)
AWS_ACCESS_KEY_ID 秘密 env
bedrock provider: AWS access key ID (with AWS_SECRET_ACCESS_KEY, and AWS_SESSION_TOKEN for temporary credentials)
AWS_SECRET_ACCESS_KEY 秘密 env
bedrock provider: AWS secret access key
AWS_BEARER_TOKEN_BEDROCK 秘密 env
bedrock provider: a Bedrock API key, used instead of the AWS keys
GOOGLE_APPLICATION_CREDENTIALS env
vertex provider: path to a service-account JSON key file (or DRIFTNET_VERTEX_CREDENTIALS)
GOOGLE_CLOUD_PROJECT env
vertex provider: Google Cloud project id (optional when the key file names one)
DRIFTNET_JUDGE env
Who files each link before the model: jev, rules (free, no model), llm, heuristic, off, or a plugin's judge name
DRIFTNET_JUDGE_RULES env
Path to a rules file for the rules judge, one 'pattern -> folder' per line
DRIFTNET_LANGUAGE env
Language summaries are written in (default English)
DRIFTNET_AGENT env
Name recorded for this agent's saves and votes (default local)

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。

できること

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。

基本チェックi

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

✓ 合格
作者とリポジトリが一致
レジストリ名は、リポジトリを所有するGitHubアカウント KevinChu1110 で確認済みです
… 未チェック
今もメンテナンスされている
このリポジトリはまだGitHubから読み取っていません
… 未チェック
ライセンスがある
このリポジトリはまだGitHubから読み取っていません
– 対象外
エンドポイントが応答する
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
– 対象外
OAuthでサインイン
パソコンで動き、代わりにローカルの設定を使います
… 未チェック
ツールの説明に隠れた指示がない
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

検索・AIの記憶のほかのサーバーとの比較i

このカテゴリのほかの7266件のうち0%よりスターが多い
このカテゴリのほかの7266件のうち92%より最近レジストリに公開
基本チェックの結果が、このカテゴリのほかの7266件のうち100%と同じかそれ以上

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。

よくある質問

driftnetは安全ですか？

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。

どんなキーやコードが必要ですか？

入力が必要なもの：DRIFTNET_LLM_API_KEY, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_BEARER_TOKEN_BEDROCK

パソコンで動きますか、それともクラウドですか？

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）。

今もメンテナンスされていますか？

GitHubリポジトリの最終更新は–、最新バージョン（1.2.1）がレジストリに届いたのは3 日前です。

どのアプリで使えますか？

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。

代わりに使えるものは？

同じカテゴリには：Context7, Codebase Memory, Exa

代わりの候補

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

Context7

作者：upstash

Up-to-date docs for AI agents

パソコンでもクラウドでも★ 64,224MIT昨日更新

インストール

Codebase Memory

作者：DeusData

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

パソコンで動く★ 48,148MIT21 日前更新

インストール

Exa

作者：exa-labs

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

クラウドで動く★ 5,213MIT先月更新

インストール

作者のREADME

READMEを開く

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。

English · 繁體中文

[▶ Try the demo](https://kevinchu1110.github.io/driftnet/demo/) · [Website](https://kevinchu1110.github.io/driftnet/) · [Chrome extension](https://chromewebstore.google.com/detail/driftnet/inmlinbodfopmanbllkkjcgheelacddm) · [Docs](#-docs)

🆕 1.2 is out: chat replies link each card with its own signature instead of the share key, LINE answers before its reply token expires, model and embedding endpoints go through the SSRF guard, and yt-dlp gets a cookies file and a stale-version warning. What's new · What stays stable

📖 What it is

Every day your feed carries great articles, open-source repos and tools past you. You paste them into a chat "for later", and like everything else in the current, they drift out of sight.

driftnet is the net you leave in that current. Drop links in a group chat (LINE, Slack, Discord, Telegram), click the Chrome button, import your old bookmarks or use the command line. driftnet catches each one, follows a post to the project it is really about, boils it down to a short summary in your language, and files it in your own folders, in a local catalogue with full-text search (Chinese included). Your agents haul in the same catalogue over MCP. It runs on your own computer and works with any model, or none.

🎥 See it work

1. A post becomes the tool. A Facebook reel with no links in it goes into the chat. driftnet reads the caption, finds both repos on GitHub by exact name, and files each as its own card. The chat gets one line; the summary is on the page.

you ▸ this week's AI roundup https://www.facebook.com/share/v/1DfVB2odi3/

bot ▸ 📌 This week in AI (3/11)｜News ＋ Paperclip, RealWonder https://driftnet.example/#item-1

From a real run. The post had no links: driftnet read the caption and found both repos on GitHub by name.

2. Know what it is at a glance. Before: a bare link in a chat. After: a card with pictures from the page, a one-line answer, what you'll see and why it's here, so you can tell in seconds whether to open it.

3. Sort with the mind map. New links the AI filed on its own wait in the Inbox with two or three suggested folders. Or drag a card onto a folder on the mind map, which branches out from the root like XMind.

✨ Core features

Catch the link

🎯 Finds the actual tool. A post linking a repo becomes the repo; a post that only *names* projects gets them looked up on GitHub by exact name. Links a model makes up are thrown away.
💬 Reads "link in the comments". The Chrome extension opens the comments; a weekly roundup becomes one item per project.
📥 Many ways in. A Chrome button, Discord, Telegram, Slack or LINE bots, your agent, or one HTTP call (Ways in).

Understand and sort it

🖼️ Cards you can read at a glance. Pictures, a one-line answer, what you'll see, why it's here.
🗂️ Your folders are the categories. The AI files new links by each folder's path and description; its suggestions wait in the Inbox.
🧠 Mind map and split view. Drag cards onto folders; ✨ AI tidy-up proposes a plan that changes nothing until you apply it (the web page).
📱 A page you can search, on a phone too. Notes, undo and trash, keyboard shortcuts, read-only share links.
🚫 Not a read-later app. Pocket and Raindrop keep the link you gave them. driftnet follows the post to the tool it is about, keeps a short outline instead of the whole page, and lets your agents read and write the same catalogue over MCP.

Cheap, safe and yours

💸 Spends almost nothing. Repeat links are free and pages are cut to an outline of about 350 tokens before any model sees them. Five real Facebook reels were judged for $0.00029 in total.
⚖️ Optional judge. Jev (needs a TypeSafe key) decides in ~100 ms what is worth summarising. Without it, your model sorts each link.
🗳️ Learns what to ignore. 👎 a result and its publisher loses reputation; sources that keep getting voted down stop costing anything.
🛡️ Safe by default. Private and local addresses are refused, and prompt injection is never passed on to agents.
🤖 Agents use it too. MCP, /openapi.json, /llms.txt, /feed.xml and an outgoing webhook; or let them do the reading (Agents).
🧩 Any model or none, and it stays yours. A free local model through Ollama, a Claude or Gemini subscription you already have, a paid API key (pennies), or no model (links are then saved and wait unsorted under "Other"). Local SQLite; English and Traditional Chinese throughout.

🚀 Quick start

Everything runs on your own computer: no server to rent, no account. Want a look first? [Try the demo](https://kevinchu1110.github.io/driftnet/demo/) runs the real page in your browser.

Easiest: let your AI agent install it

Copy this into Claude Code, Cursor, Codex or any agent that can run commands on your computer:

Read https://raw.githubusercontent.com/KevinChu1110/driftnet/main/docs/llms-install.txt and set up driftnet for me.

It checks Node.js, starts driftnet, connects itself over MCP and tells you when it is done.

Or run one command yourself

You need Node.js 22.13 or newer. Never used a terminal? Step by step for Mac and Windows. Then, in a terminal:

npx driftnet

Your browser opens http://localhost:8787: that is driftnet's page, served by your own computer (*localhost* means "this machine"; nobody else can see it). ⚙ Settings → AI: pick a provider and fill in its key and model. Or skip it: links are still saved and wait unsorted under "Other", and an AI agent can write the summaries (Agents). To connect the AI apps on this computer (Claude Code, Claude Desktop, Cursor, Windsurf, Codex) in one go: npx driftnet init.

Closing that terminal window stops driftnet. To have it start at login and run in the background instead (macOS, Linux, Windows), run once:

npx driftnet service install      # status: npx driftnet service status · undo: npx driftnet service uninstall

Your settings live in ~/.driftnet/.env and the catalogue in ~/.driftnet/driftnet.db.

Add your first link

Any of these works:

On the page: paste a link into the box and press Add.
In a terminal: npx driftnet add https://github.com/paperclipai/paperclip
From the browser: the Chrome extension sends the page you are looking at.
From a chat: paste a Discord, Telegram, Slack or LINE bot token in ⚙ Settings → Chats (how to get one) and drop links there.

A card shows up within 5–30 seconds: what it is, why it might matter to you, and where it was filed.

Other ways to run it: from source, Docker

From source, to hack on it or run it as a login service:

git clone https://github.com/KevinChu1110/driftnet && cd driftnet

pnpm install pnpm start # http://localhost:8787 pnpm service:install # optional: start at login (macOS / Linux)

With Docker:

docker build -t driftnet https://github.com/KevinChu1110/driftnet.git

docker run -d -p 127.0.0.1:8787:8787 -v driftnet:/data -e DRIFTNET_HOST=0.0.0.0 driftnet start

Without start, the container is the MCP server over stdio (docker run -i --rm -v driftnet:/data driftnet). DRIFTNET_HOME moves the settings and the catalogue somewhere else.

Not working?

Port 8787 is in use: another driftnet is probably running; open http://localhost:8787, or start this one with PORT=8788.
`driftnet needs Node 22.13 or newer`: install it with nvm install 22 or from nodejs.org.
Cards stay ⏳ with no summary: no model is set up yet. Choose one in ⚙ Settings → AI, or let your agent work the queue (Agents).
Opened from another computer and got `421`: without a password driftnet only answers on this machine. Set a password (DRIFTNET_TOKEN), or list the address in DRIFTNET_ALLOWED_HOSTS.

Which setup is yours?

You are	Start with	Model
Just me, on my computer	The Chrome extension and the web page	A local one through Ollama (see Models), or none
A group chat	A Discord, Telegram, Slack or LINE bot, see Ways in	Any
My agents	MCP, the Claude Code plugin or the agent queue	None needed: the agent does the reading

📚 Docs


Install for beginners	Never used a terminal: Mac and Windows, step by step
How driftnet handles a link	The eight steps, reels and shorts, link health, search by meaning
Ways in	Chrome, Discord, Telegram, Slack, LINE, votes, the weekly digest
The web page	Cards, folders, mind map, AI tidy-up, notes, sharing, shortcuts
Chrome extension	What it captures on Threads, X and Instagram, install
Models	Picking a model (API, subscription, Ollama or none), judges, plugins
Agents	MCP tools, the Claude Code plugin, letting your agent do the reading
Command line	`driftnet add`, `search`, `export`, `backup` and the rest
Settings	Every setting, backup and restore
Putting it online	A password, a public URL, LINE webhooks
What stays stable	What 1.x promises not to break: your data, settings, MCP tools, API, CLI
Contributing	Layout, tests, releasing, extending

Where your data goes

[!IMPORTANT]

The catalogue stays on you

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

driftnet

概要

PopNx MCPの3つの柱

できること

インストール

インストールの前に

自分で入力する値

できること

基本チェックi

作者とリポジトリが一致

今もメンテナンスされている

ライセンスがある

エンドポイントが応答する

OAuthでサインイン

ツールの説明に隠れた指示がない

検索・AIの記憶のほかのサーバーとの比較i

よくある質問

代わりの候補

Context7

Codebase Memory

Exa

作者のREADME

📖 What it is

🎥 See it work

✨ Core features

Catch the link

Understand and sort it

Cheap, safe and yours

🚀 Quick start

Easiest: let your AI agent install it

Or run one command yourself

Add your first link

Which setup is yours?

📚 Docs

Where your data goes