Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Git-native memory for coding agents: gotchas, decisions and bookmarks as plain text in your repo.
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。
INFERNOFLOW_PROJECT_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": {
"infernoflow": {
"command": "npx",
"args": [
"-y",
"infernoflow",
"mcp"
],
"env": {
"INFERNOFLOW_PROJECT_DIR": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add infernoflow --env INFERNOFLOW_PROJECT_DIR=your-value -- npx -y infernoflow mcp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": {
"infernoflow": {
"command": "npx",
"args": [
"-y",
"infernoflow",
"mcp"
],
"env": {
"INFERNOFLOW_PROJECT_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": {
"infernoflow": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"infernoflow",
"mcp"
],
"env": {
"INFERNOFLOW_PROJECT_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。
INFERNOFLOW_PROJECT_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 ronmiz 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(0.50.0)がレジストリに届いたのは4 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
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。
Every new AI session starts cold — the gotchas you found, the decisions you made, don't survive. infernoflow makes them stick.
Persistent memory for AI coding sessions. Captures the gotchas, decisions and dead ends your code can't tell an agent — and replays them into your next Cursor / Claude Code / Copilot chat so the same wrong turn never happens twice.
You spent 90 minutes yesterday teaching Claude that your auth API returns 200 even on errors — check the response body, not the status code. Today you ask the same kind of question and watch it write if (response.ok) { return data } all over again. The AI didn't get worse overnight. It just doesn't have memory.
infernoflow is a local-first CLI + VS Code extension + open protocol (AMP) that gives your AI persistent context across sessions. No SaaS. JSONL on disk. Three rule files your IDE already reads.
Built-in assistant memory remembers *you*. infernoflow remembers the *codebase*: the memory lives in your repo under .ai-memory/, travels through git to your teammates, and works the same in Claude Code, Cursor and Copilot.
npx through a shell.setup registers the MCP server in .codex/config.toml (no machine paths, safe to commit) and creates AGENTS.md with the memory block, on machines with Codex.git commit shows it first. Never blocks.CLAUDE.md whole..vscode/mcp.json and .cursor/mcp.json no longer hold your machine's paths (infernoflow mcp in ${workspaceFolder}), and the rule files no longer list recent commits or personal memory — so a teammate's pull doesn't leave changed files. Optional AGENTS.md support.status, recap and the session start tell you when memory has duplicates, noise or entries about files that changed since, and name the command to fix it. Set "maintenance": "auto" in .ai-memory/amp.json to tidy up once a day, or "off". Also: every command has its own --help that never runs the command.CLAUDE.md no longer carries a copy that goes stale.infernoflow resolve retires one from AI context.infernoflow commands; secrets are redacted; MCP is registered per project.Full list: CHANGELOG.md.
Drop a named resume point mid-session. When the context window fills up or you're about to make a risky change, one command captures the current session's transcript and stores it as a jumpable checkpoint:
infernoflow bookmark "before the SP refactor"
Or just say it in chat — the Cursor beforeSubmitPrompt hook catches phrases like "bookmark this" / "mark this point" / "save this checkpoint" and drops the bookmark itself, no AI cooperation required. Or let the AI do it via the amp_bookmark MCP tool when it notices the session is getting long.
No `--note`? infernoflow reads Claude Code's own on-disk transcript (~/.claude/projects/…/*.jsonl), distills the last 40 turns to markdown, and stores it as the bookmark's context. Fully deterministic — no model call. Recall any time:
infernoflow bookmark list # ● has context, ○ marker only
infernoflow bookmark show "SP refactor" # jump back — see the whole snapshot
Bookmarks are never auto-pruned, and they surface in infernoflow switch under a ## 🔖 Bookmarks — Resume Points section so the next session opens right where work paused.
init now installs two things into .claude/ so the loop runs itself on Claude Code:
.claude/skills/) — teaches the agent to start warm (resume), then proactively log real gotchas, decisions-with-a-*because*, dead ends, and durable preferences, and drop a bookmark at stopping points or when you say *"bookmark this"*. Capture is balanced — it skips routine steps, anything obvious from the code, secrets, and duplicates..claude/agents/) — a specialist you can delegate to. It sweeps the session, dedupes against what's already stored, logs what's worth keeping, drops bookmarks, and reports back. It never edits code or logs secrets, and a guard limits its shell to single infernoflow read/log commands (blocked if the guard can't run).Both are installed automatically by infernoflow init (fresh and on re-run of an existing project) and ship in the package — nothing to set up by hand.
Every new AI session today starts cold. The agent re-reads your code, re-derives the obvious, and re-makes the same wrong move someone else made yesterday. infernoflow closes that loop in four stages:
amp_write MCP tool. A protocol block injected into the rule files teaches it exactly when. Prompt hooks (Claude Code UserPromptSubmit, Cursor beforeSubmitPrompt) backstop the AI by scanning the text you typed — subagent hand-backs, system reminders, fenced or indented code, quotes and stack traces are skipped — for trouble signals (not working, still broken, same error; !! / retry only in short prompts) and writing the entry deterministically when the AI doesn't (English and Hebrew). In Claude Code the hook also notices when you ask the agent to remember something, state a decision or describe a finding, and reminds the agent to save it in its own words — it stores nothing itself for those. If a session ends with one of those still unsaved, the next session starts with a one-time reminder to offer saving it. The Cursor hook also turns *"bookmark this"* into a bookmark.gotcha | decision | attempt | note | detection | pattern | bookmark) with timestamp, file:line, tags, and a stable AMP id..ai-memory/branches/ .jsonl (git-tracked, travels with your branch — teammates inherit it) plus .ai-memory/global.jsonl (personal preferences, gitignored, synced across your machines via any OS-synced folder).CLAUDE.md / .cursorrules / copilot-instructions.md at boot. The most relevant entries are already there. Warm start; no cold derivation.And at the last moment before a repeat: when a commit touches a file that memory has a gotcha, failed attempt or decision about, the git pre-commit note prints those entries — to you or to the agent running git commit. It never blocks the commit. (setup / init install it in .git/hooks; turn it off with "preCommit": "off" in .ai-memory/amp.json.)
No service to log into. No SaaS. JSONL on disk, an MCP server, and three rule files your IDE already reads.
npm install -g infernoflow
infernoflow init --yes
Zero runtime dependencies. Works on Node ≥ 18 — macOS, Linux, Windows.
init --yes does the whole setup: creates .ai-memory/, writes rule files for every supported IDE, wires the MCP server for Cursor / VS Code Copilot / Claude Code in one shot, installs the infernoflow-memory skill + memory-keeper agent into .claude/, applies the clean-tree git policy, and drops a visible demo entry so you can confirm the loop is alive with:
infernoflow status
These cover 95% of usage:
| Command | What it does | |||
|---|---|---|---|---|
infernoflow log "..." | Remember a gotcha / decision / attempt / note. `--type gotcha\ | decision\ | attempt\ | preference` |
infernoflow resume | 🆕 0.46 "Where were we?" in one call — last resume point, open dead ends, recent decisions, uncommitted work. --file ranks by file | |||
infernoflow ask "..." | Search your memory by keyword — gotchas surface first. --file ranks entries about that file first | |||
infernoflow switch | Generate a handoff for the next session. --copy puts it on your clipboard | |||
infernoflow recap | End-of-session summary with health score + unlogged-change detection; lists memory that arrived through git and marks it reviewed | |||
infernoflow status | Quick health check — entries, gotchas, decisions, last activity |
| infernoflow bookmark "..." | 🆕 Drop a named resume point — auto-captures the session transcript as its context. list / show / rm round it out. Surfaces in switch.
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