Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Local-first memory for AI coding agents — Markdown + SQLite FTS5, shared across editors via MCP.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"open-memex": {
"command": "npx",
"args": [
"-y",
"open-memex",
"mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add open-memex -- npx -y open-memex mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"open-memex": {
"command": "npx",
"args": [
"-y",
"open-memex",
"mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"open-memex": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"open-memex",
"mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto stoneskin bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.9.0) kam gestern in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Persistent memory for your AI coding agents — on your machine, in plain Markdown, shared by every tool you code with.
中文文档
Every AI coding session starts from zero: you re-explain the project, the agent rediscovers the same gotchas, and yesterday's decisions vanish when the chat ends. open-memex gives your agents a memory that survives the session. Say "remember: we deploy on Fridays" once, and next week Copilot, Cursor, opencode, or Claude Code already knows — because they all read and write the same local memory on your machine.
ship finds deploy, 单点登录 finds SSO — a curated multilingual map of equivalents is indexed with every memory at write time, so no related wording misses the right answer. Deterministic and auditable, no embedding model required.New here? This README takes you from install to a working memory in about a minute. The concept guide explains the mental model in depth once you're up and running.
init changes on your machineYou need Node.js ≥ 22.14 (check with node -v). Then:
npm install -g open-memex
open-memex init
init detects the editors you have installed (VS Code, Cursor, opencode, and Visual Studio when your project has a solution file) and connects each one to open-memex. Restart your editor afterwards.
See it work (30 seconds):
open-memex add "This project deploys on Fridays"
Now open a new chat in your editor and ask your agent: *"When does this project deploy?"* It already knows — no re-explaining. That round trip, capture once and recall forever, is the whole product. Everything below is detail.
Optional but recommended — check everything is wired up:
open-memex doctor
Four ideas explain almost everything open-memex does.
1. Two scopes: `project` and `personal`. Every memory belongs to one of two places:
Facts about you ("I prefer concise diffs") go to personal; everything else defaults to the current project.
2. Capture → recall. Memories are saved as small Markdown files, one fact each. On the first turn of every new session, open-memex hands your agent the most relevant ones automatically, so it starts the session already knowing them. The agent can also search the full memory on demand. You never have to "load" anything yourself.
3. Your files, your rules. The Markdown files are the source of truth — open them, edit them, delete them, grep them. The SQLite index next to them is just a search accelerator and rebuilds from the files at any time (open-memex reindex). Team sharing, when you want it, goes through the same review flow as code: nothing is shared automatically (see Team workflow).
4. Knowledge stays current. Facts change: decisions get reversed, tools get replaced, yesterday's gotcha gets fixed. open-memex doesn't let the old version quietly linger — memory_supersede replaces a memory with its newer version and keeps the chain, so retrieval serves the current fact while the history stays auditable. Merely stale memories can be deprecated, and open-memex audit reports duplicates, stale entries, and broken chains. Pruning is a feature, not housekeeping: shared memory rots without it.
open-memex talks to editors two ways: a native opencode plugin, and a standard MCP server that any MCP-capable editor can use. (MCP — Model Context Protocol — is the open standard editors use to give agents extra tools; open-memex appears in your editor as a set of memory_* tools.) What you get depends on which path an editor uses:
| Editor | Setup | Tools | Session-start recall | Keyword auto-capture |
|---|---|---|---|---|
| opencode (native plugin, recommended) | open-memex init --client opencode --global | 6 core tools | Built in — first turn of every session | Yes — remember …, 记住… |
| VS Code (Copilot) | open-memex init --client vscode | All 12 via MCP | Via MCP guidance* | No — the agent saves when you ask |
| Cursor | open-memex init --client cursor | All 12 via MCP | Via MCP guidance* | No — the agent saves when you ask |
| Claude Code | claude mcp add open-memex -- open-memex mcp | All 12 via MCP | Via MCP guidance* | No — the agent saves when you ask |
| Visual Studio 2022 17.14+ / 2026 | open-memex init --client visualstudio | All 12 via MCP | Via MCP guidance* | No — the agent saves when you ask |
| Codex and other MCP clients | open-memex mcp --print-config | All 12 via MCP | Via MCP guidance* | No — the agent saves when you ask |
\* MCP has no hard session-start hook, so open-memex sends the agent guidance in the MCP handshake (including how many drafts are waiting) and init writes the fuller version into the editor's instruction files. In practice agents follow it; the opencode plugin is the only path with true built-in first-turn injection. The Tools section lists the 6 core tools and the 6 extra workflow tools, so the "6 vs 12" split is explicit.
All editors on the same machine read and write the same memory — a constraint captured in VS Code is respected in opencode; a lesson learned in Cursor shows up in Claude Code. (Different machines do not sync automatically; see the FAQ.)
init also installs an Agent Skill (a short instruction file that teaches skill-aware agents to use the CLI) for VS Code and Cursor, and for opencode in per-project MCP mode. With the opencode native plugin wired, no skill is installed there — the plugin already provides the memory tools, and a second instruction set only made agents chatty.
| open-memex | Instruction files (CLAUDE.md, AGENTS.md, …) | Cloud memory services | Chat history | |
|---|---|---|---|---|
| Where it lives | Your machine + your repos | In the repo | Vendor servers | Gone when the chat ends |
| Who maintains it | Captured as you work; you review | You write and update by hand | The service | — |
| When facts change | Superseded, not silently stale — retrieval serves the current version, chain preserved | You hand-edit; stale copies linger | Varies; often silently stale | — |
| Works across AI tools | Yes — any MCP client (same machine) | One file per tool convention | Per-integration | No |
| Review before sharing | Yes — outbox + pull request | Yes — it's just files | Varies | No |
| Human-readable | Plain Markdown files | Yes | Dashboard / API | No |
Instruction files are great for a handful of standing rules — keep using them (open-memex can even draft one from your memories; see distill-agents below). open-memex covers the growing pile of decisions, lessons, and preferences that no one remembers to write down.
open-memex doctor verifies this for you). The floor is the SQLite driver's: better-sqlite3 13 is built against Node-API 10, which Node gained in 22.14.0 — older Node segfaults on the first database open.npm install -g open-memex
That's the stable release. Installing the package may print a reminder to run open-memex init — the editor wiring is a separate step (see Setting up your editor), so don't worry if you don't see the reminder; just run init next.
Two alternatives:
npx -y open-memex runs any command without installing (e.g. npx -y open-memex init --client vscode). Slower to start, nothing to uninstall.npm install -g open-memex@alpha. Check what's published with npm view open-memex version (stable) and npm view open-memex@alpha version (alpha).If open-memex isn't found after installing, your PATH needs attention — see Troubleshooting.
git clone -b main https://github.com/stoneskin/open-memex.git
cd open-memex npm install node --experimental-strip-types src/cli.ts
Run init from your project root (the top folder of the repo you're working in) so the project scope resolves to that repo:
open-memex init --yes
npx -y open-memex init --yes
--yes accepts the recommended defaults for everything init asks about (editors to wire, auto-capture, first-turn recall). Leave it off if you want to answer each question. With no --client, init detects your installed editors and wires them all — one init covers every project. Prefer a single editor? Pass --client:
VS Code (Copilot):
open-memex init --client vscode
Writes the MCP server entry; reload the window afterwards and confirm the open-memex server is started in Copilot Chat's MCP panel. By default this writes a project-level .vscode/mcp.json (an interactive run asks which level you want); add --global for VS Code's *user-level* config inst
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