Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Hand a project over with the reasons attached. Local-first cross-agent memory MCP + drift detection.
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": {
"linksee-memory": {
"command": "npx",
"args": [
"-y",
"linksee-memory"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add linksee-memory -- npx -y linksee-memoryIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"linksee-memory": {
"command": "npx",
"args": [
"-y",
"linksee-memory"
]
}
}
}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": {
"linksee-memory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"linksee-memory"
]
}
}
}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 michielinksee 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 (0.19.0) 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
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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.
A local MCP memory server: one SQLite file on your machine that Claude Code, Cursor, Windsurf, OpenAI Codex and Gemini CLI all read and write. No account, no credit card, no cloud, no API key. The server makes no network calls; telemetry is opt-in and off by default.
It is for handing a project over — to your next session, to another client, to the person after you — with the reasons attached. Every client can save and search the memory. In Claude Code, hooks also bring a recorded decision back at session start and before an edit. Drift detection shows which recorded decisions the code has since left.
Needs Node.js 22.16 or later (recommended: SQLite with FTS5 is built into Node, nothing is compiled), and Claude Code or Codex to try it (either one is enough). Node 20 and Node 22.0–22.15 still work through better-sqlite3, which then has to be built on install — on npm 12 that means allowing its install script (see troubleshooting).
Claude Code, from inside a session (plugin: MCP server and skill, no hooks):
/plugin marketplace add michielinksee/linksee-memory
/plugin install linksee-memory@linksee-memory
Or from a shell, which also installs the hooks:
npx -y linksee-memory setup # Claude Code: MCP server, skill, hooks
codex mcp add linksee -- npx -y linksee-memory # Codex: the same memory
The plugin starts the server with npx -y linksee-memory@latest and ships the same skill setup installs. It has no hooks: the Stop hook (auto-capture) and the re-injection guard come only from setup. One or the other, not both:
setup? Do not add the plugin. With both, Claude Code runs the server twice (linksee and plugin:linksee-memory:linksee)./plugin → Installed → linksee-memory → disable, or claude plugin disable linksee-memory@linksee-memory), then run npx -y linksee-memory setup. The memory file is the same; nothing is lost.remember (the skill tells it when)./mcp and check that plugin:linksee-memory:linksee is connected. If it is not, disable the plugin first (previous bullet), then run npx -y linksee-memory setup from the shell block above. setup registers the server with claude mcp add, the form that is known to work on Windows, and it does not disable the plugin for you.One command for Claude Code. setup --dry-run prints what it would change. It edits ~/.claude/settings.json, so the hooks apply in every repo, and keeps the old file as settings.json.bak- (what it writes).
A new install has an empty memory, so "how did we solve this before?" finds nothing yet. Try this instead:
entity: repo-a and by: ; entity_name on the recall narrows by a part of the entity name (repo-a also matches repo-a-backup).remember the new decision with supersedes: . recall then shows only the new one (supersedes # ); include_superseded: true shows both.Where the first round trip is known to work. Most cells are empty because nobody has tried them yet, not because they fail.
| Client | Windows | macOS | Linux |
|---|---|---|---|
| Claude Code | verified | reported | untested |
| Codex | untested | untested | untested |
| Cursor | untested | untested | untested |
| Windsurf | untested | untested | untested |
| Gemini CLI | untested | untested | untested |
If you fill one cell, your name goes in the weekly report under "Added by others". Report your client and OS — five fields, no database contents.
Weekly report: Discussion #16.
remember.~/.linksee-memory/ (with every client closed).npx -y linksee-memory@0.17.2 migrate --dry and npx -y linksee-memory@0.17.2 migrate: it migrates a copy and moves the original files, as one set, into memory.db.pre-migrate- / (details and how to go back).Docs: docs.linksee.app · Site: linksee.app (setup guides for non-developers) · Free, MIT, local only — there is no paid tier you need.
setup registers the MCP server (claude mcp add -s user linksee -- npx -y linksee-memory), installs the agent skill, adds a Stop hook that saves each session, and wires the re-injection guard for every repo (--project-guard for this repo only, --no-guard to skip). Running it again changes nothing that is already in place.
| File | What |
|---|---|
~/.claude.json | the linksee MCP server (via claude mcp add) — undo with claude mcp remove linksee |
~/.claude/skills/linksee-memory/SKILL.md | the agent skill |
~/.claude/settings.json | the Stop hook (auto-capture) and the SessionStart / PreToolUse guard hooks. Merged into what is there — other hooks and settings are kept. If the file does not parse, setup leaves it untouched and says so. Before changing it, setup keeps the previous file as settings.json.bak- : to undo, copy that file back over settings.json. |
~/.linksee-memory/runtime/ / | only when setup ran from a temporary location (npx, pnpm dlx, bunx, or the system temp directory): setup runs npm install --prefix ~/.linksee-memory/runtime/ --no-save --omit=dev linksee-memory@ once (shown with its size; this downloads from the npm registry), because the hooks call node on it directly and those locations are temporary. Older versions are not removed automatically (about 35 MB each): setup prints the folder, and npx -y linksee-memory runtime prune lists them with what references each. With --yes --scope-confirmed it deletes only versions no settings file references; it cannot see other repos where you ran setup --project (pass their .claude/settings.json with --settings), and if a settings file cannot be read or parsed it deletes nothing. If the install fails, the hooks stay on the npx form. |
~/.linksee-memory/telemetry-consent | your telemetry answer (off unless you said yes) |
To remove everything: claude mcp remove linksee, delete the linksee hooks from settings.json (or copy the .bak back), then rm -rf ~/.claude/skills/linksee-memory ~/.linksee-memory — the last one deletes the memory stored in that folder. It does not reach copies you made yourself (for example to hand the memory over) or telemetry already sent if you opted in. Linksee itself never sends memory text anywhere. Step by step, with manual setup: docs/install.md.
Every client points at the same stdio command and the same ~/.linksee-memory/memory.db. A decision made in Claude Code is recalled in Cursor.
| Client | Where |
|---|---|
| OpenAI Codex | codex mcp add linksee -- npx -y linksee-memory |
| Cursor | ~/.cursor/mcp.json |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| Gemini CLI | ~/.gemini/settings.json |
| Claude Desktop | claude_desktop_config.json |
The JSON clients take the same block:
{ "mcpServers": { "linksee": { "command": "npx", "args": ["-y", "linksee-memory"] } } }
Full configs, including Codex's config.toml: docs/install.md.
| Say this | What happens |
|---|---|
| "use linksee" | Recalls relevant memories before acting |
| "linksee this" | Saves the decision or lesson now |
| "what's drifting?" | Checks reality against the decisions you recorded |
Adding "Use Linksee Memory" to your system prompt or CLAUDE.md prompts the agent to call recall more often; whether it does is still up to the agent.
What each part does, and where:
remember saves to the one SQLite file; recall searches it when the agent calls it.remember({ content, anchor: {} }) also records the decision as an anchor. At session start the guard hook adds a short digest of recorded decisions (up to 8). Before an Edit / Write / Bash, a decision comes back only if it matches: with affects globs, the edited path must match (a Bash command that names no file can still match on a violation_signal); without affects, a detect_terms or violation_signal hit is needed. An empty anchor: {} has none of these, so it appears only in the session-start digest, never before an edit.anchor: { violation_signal: ["pgvector"] }. An empty anchor: {} is stored as a constraint and is re-injected, never matched as a contradiction. A match warns; after resolve_drift(action: "harden") it blocks. The guard fails open: its own errors never block anything. Details: docs/guard.md.Three for memory, three for drift, and share_draft,
Nur der Anfang wird gezeigt; den Rest findest du im Repo