Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Lightweight MCP for infinite agent memory. Any agent, any session, anytime.
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": {
"lore": {
"command": "npx",
"args": [
"-y",
"@jordanhindo/lore"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add lore -- npx -y @jordanhindo/loreIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"lore": {
"command": "npx",
"args": [
"-y",
"@jordanhindo/lore"
]
}
}
}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": {
"lore": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@jordanhindo/lore"
]
}
}
}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 jordanhindo 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 (0.1.1) kam vor 5 Monaten 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.
Any Agent. Any Session. Any Turn. Anytime.
The session you ran in Claude Code this morning, Openclaw can pull up this afternoon. The debugging thread Cursor worked through last week, Hermes can read like it was sitting right there. Lore gives all of your coding agents one shared memory: across every tool, across every session, and it never expires.
That is the part most "agent memory" misses. Other tools remember things for one agent, inside one app. Lore makes every session any of your agents has ever had searchable by any other agent, anytime. What Codex figured out, Claude Code knows. What you solved on Tuesday is one search away on Friday, in whatever agent you happen to be in.
And yes, it survives compaction. When a context window fills up and compacts, the work isn't gone, it's sitting right there on disk. Lore just makes it reachable again, fully searchable, right where your agents work. Local, private, and yours forever.
https://github.com/user-attachments/assets/b5c0f077-47da-4502-bf78-2ce08abf034f
*Inspired by RLM*
This release turns Lore from a search box over old transcripts into a small workflow substrate for agents that have to continue real work:
lore status --json reports both schemaVersion and supportedSchemaVersion, so stale global installs are obvious before sync, index, or push writes fail.lore status tells an agent whether a source/project window is ready, missing, stale, or possibly unsynced before it writes a brief or handoff from incomplete memory.lore sync indexes a detected active transcript tree incrementally. This covers codex (~/.codex/sessions, with archived sessions as a compatibility fallback) and claude-code (~/.claude/projects) without forcing agents to remember raw paths.lore-recall, lore-brief, lore-handoff, and lore-dev-verification alongside the base lore skill. They include references, examples, eval specs, validators, and committed test reports.npm run package:smoke builds, packs, unpacks, and validates the real tarball so README, help text, skill folders, executable mode, and package metadata are checked together.Already installed? Refresh the global command before testing any schema or sync behavior:
npm install -g @jordanhindo/lore@latest
lore help lore status --json
If your shell cached the old path, open a new terminal or run hash -r and retry lore help.
getUserById, foo.bar.ts, and trust-metadata stay findable as whole words, not shredded into noise.~/.lore/lore.db on your machine. Nothing phones home. Ever.Lore sets itself up. Drop the blurb below into any coding agent. It installs Lore, indexes your own history, and proves search works before it calls itself done. It is server-free by default, with no MCP registration required.
Set up Lore (full-fidelity session memory) for yourself. Install it with
npm install -g @jordanhindo/lore@latest, then run lore setup to index my history and self-verify. Prove it by running lore search for a word from a past session and showing me a hit. The MCP server is optional: only register it (lore serve) if you specifically want MCP tool calls instead of the CLI; if you do, tell me the reload step I have to do.
The deterministic recipe the agent follows lives in AGENT-ONBOARD.md, which keeps MCP registration as an optional step. Prefer the skill instead? npx skills add jordanhindo/lore (below) drops in the self-bootstrapping lore skill, which does all of this the next time you ask it to recall something.
Recommended: install the skill. It sets up the rest.
npx skills add jordanhindo/lore
This drops the bundled `lore` skill into your agent (~/.claude/skills/). The skill is self-bootstrapping: the next time you ask your agent to "remember" / "recall" something or to "set up lore", it reads its own references/setup/index.md, installs the lore CLI, indexes your history, and proves search works. No MCP server required. One command installs the whole thing.
Or install the CLI directly:
npm install -g @jordanhindo/lore@latest # puts the `lore` command on your PATH
Requires Node 22+. That's the whole install. lore setup takes it from here. If npm install chokes on better-sqlite3, or lore isn't found afterward, the Troubleshooting section has you covered, Windows included.
The global lore command is just an npm binary shim. If you were running an old package, update it before you trust lore sync, lore index, or lore push:
npm install -g @jordanhindo/lore@latest
lore help lore status --json
If lore status --json shows a store schemaVersion higher than supportedSchemaVersion, your command is still stale. Reinstall the package, open a fresh shell if needed, then rerun lore status --json.
Cloning is for contributors, or for writing a new adapter (which needs the source tree):
git clone https://github.com/jordanhindo/lore && cd lore
npm install npm run build npm link # optional: puts lore on your PATH
lore setup is the fast path. It sniffs out the harnesses on your machine, indexes each one, checks that search works, and prints how to wire Lore into your MCP client.
lore setup
Want finer control? Point lore index at a transcript directory. For Claude Code that's ~/.claude/projects:
lore index ~/.claude/projects # primary transcripts
lore index ~/.claude/projects --subagents # include subagent transcripts lore index ~/.claude/projects --no-redact # keep credentials verbatim (see Privacy)
Other harnesses come in with --source. Codex, openclaw, Cursor, and Hermes are all built in:
lore index ~/.codex/sessions --source codex
lore index ~/.openclaw/sessions --source openclaw lore index ~/.cursor --source cursor # reads Cursor's SQLite state store lore index ~/.hermes --source hermes # reads Hermes's SQLite state store
Cursor and Hermes keep their history in a SQLite database rather than JSONL files; point lore index at the directory and the adapter reads the store directly. Current sampled Cursor rows expose toolResults fields but only empty arrays, so the Cursor adapter indexes text only and fabricates no tool calls.
Re-run any of these whenever. Unchanged files get skipped, so repeat runs are cheap.
Some harnesses write transcript trees instead of emitting Lore-compatible hook payloads. For manual active-session catch-up, use the incremental sync command:
lore sync codex
lore sync claude-code lore sync hermes
codex sync indexes ~/.codex/sessions incrementally, with ~/.codex/archived_sessions only as a compatibility fallback. claude-code sync indexes ~/.claude/projects incrementally, including subagent transcripts. hermes sync indexes ~/.hermes incrementally.
For cron, launchd, Task Scheduler, or any unattended timer, use the bundled lock-protected wrapper instead of raw lore sync so multiple source jobs do not write ~/.lore/lore.db at the same time:
./scripts/lore-sync-once.sh codex
./scripts/lore-sync-once.sh claude-code ./scripts/lore-sync-once.sh hermes
You don't need the MCP server to use Lore. The lore command opens the SQLite store directly, so search, read-back, navigation, and writing all work server-free anywhere you have a shell. The MCP server below is just one more reader of the same store; nothing here depends on it.
The loop is always the same: drill down, never dump. A session can be millions of tokens, so you never page a whole one into context. Search broadly, take the real ids it hands back (you never invent one), then spend them:
lore search "fts tokenizer" --relevant # → hits, each leading with a message + session id
lore get --full # read that one message in full lore context # 5 before / 5 after, anchor flagged lore session --around # jump to that spot, read forward
Other commands round out the loop: lore status (freshness/health), lore sessions (recent conversations), lore timeline (activity by day/hour), and lore push (add a live session from a JSON batch on stdin). Add --json to any of them for a machine-readable envelope. Every search filter the MCP tools accept works here too (--project, --source, --session, --branch, --agent, --skill, --tool, --role, --model, --since, --until, --limit).
Before asking for a current brief or handoff, check freshness:
lore status --json --source codex --project "$PWD"
schemaVersion and supportedSchemaVersion tell you whether this build can write to the store. Read-only search may still work against a newer compatible store, but sync/index/push only run when the installed build supports the store schema. In a source checkout, run npm run build before trusting the global lore shim. For npm installs, run npm install -g @jordanhindo/lore@latest and check lore status --json again.
CLI ⇄ MCP parity is proven, not asserted. Each lore … --json envelope is byte-for-byte identical to the matching MCP tool's response, verified by a parity test suite that runs both paths against one shared fixture store. So the CLI is a faithful stand-in for the server:
| task | CLI | MCP tool | --json envelope |
|---|---|---|---|
| keyword search | lore search | search_memory | { count, hits } |
| recency-blended search | lore search --relevant | find_relevant | { count, hits } |
| one message | lore get | get_message | detail obj / { error, message_id } |
| neighbors | lore context | get_context | { messages } |
| session page | lore session | get_session | { messages, nextCursor } |
| session list | lore sessions | list_sessions | { count, sessions } |
| activity | lore timeline | timeline | { buckets } |
| status/freshness | lore status | status | status envelope |
| write | lore push | push | result / { error, detail } |
The bundled `lore` skill (skills/lore/) teaches an agent to drive this whole loop: when to search, which id to spend, and how to drill down instead of dumping. It's self-bootstrapping: its references/setup/index.md covers getting history indexed in the first place (install, index/backfill a harness, write an adapter, or push), so one npx skills add jordanhindo/lore installs the whole thing.
The low-level skills/lore/ skill teaches agents how to install Lore, index transcripts, search memory, drill into message ids, and use the MCP server when a harness supports it. The workflow pack sits above that substrate:
lore:recall maps to `skills/loNur der Anfang wird gezeigt; den Rest findest du im Repo