Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Read and write Claude Code auto memory from Codex, Cursor or any MCP client. Zero dependencies.
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.
RECALL_READ_ONLYDu 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": {
"recall": {
"command": "npx",
"args": [
"-y",
"@fainir/recall",
"--claude-code",
"{repo_path}"
],
"env": {
"RECALL_READ_ONLY": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add recall --env RECALL_READ_ONLY=your-value -- npx -y @fainir/recall --claude-code '{repo_path}'Trag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"recall": {
"command": "npx",
"args": [
"-y",
"@fainir/recall",
"--claude-code",
"{repo_path}"
],
"env": {
"RECALL_READ_ONLY": "your-value"
}
}
}
}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": {
"recall": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@fainir/recall",
"--claude-code",
"{repo_path}"
],
"env": {
"RECALL_READ_ONLY": "your-value"
}
}
}
}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.
RECALL_READ_ONLY envDiese 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 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto fainir 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 (0.3.0) kam vor 5 Tagen 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.
Your Claude Code memory, in every agent. recall reads and writes the memory Claude Code keeps for each project, so Codex, Cursor or an agent you build yourself can use the same memories, over MCP or from code. Zero dependencies, no vectors, no database: the memories stay plain Markdown files.
Claude Code now remembers things on its own: your corrections, how you like to work, project decisions, where things live. It saves them as Markdown files with [[wiki-links]] under ~/.claude/projects/ /memory/. That is a good format, but only Claude Code reads it. Switch to another agent and it starts from zero.
recall makes that memory portable. It finds the same directory Claude Code uses (same rules, down to its folder-naming hash), reads every file Claude Code writes, and writes files Claude Code reads back.
Point any MCP client at recall and the project's repository. --read-only lets the other agent read what Claude Code remembers without changing it; leave it off to let both write.
Codex
codex mcp add recall -- npx -y @fainir/recall --claude-code /path/to/your/repo --read-only
Cursor (.cursor/mcp.json in the project, or ~/.cursor/mcp.json)
{
"mcpServers": { "recall": { "type": "stdio", "command": "npx", "args": ["-y", "@fainir/recall", "--claude-code", "/path/to/your/repo", "--read-only"] } } }
Cline: in the MCP Servers panel choose Configure, and add the same recall entry as for Cursor to cline_mcp_settings.json. Or ask Cline to "set up the MCP server from https://github.com/fainir/recall": in a test on 2026-11-01 it read this README, added the entry, started the server and listed its tools.
Gemini CLI: gemini extensions install https://github.com/fainir/recall (it serves the memory of the folder you start Gemini in).
Any other MCP client: run npx -y @fainir/recall with the same arguments as a stdio server. Needs Node.js 18+.
The agent then has these tools. Here is a real run against a repository with three memories Claude Code wrote:
> memory_list
3 memories in /Users/you/.claude/projects/-Users-you-code-acme-api/memory:
memory_recall {"requires": ["feedback_testing"]}
Run npm run test:int (needs the local Postgres from docker compose), not just npm test. Why: the unit tests mock the database; two "done" changes broke prod queries. How to apply: any change under src/db/ or src/queries/. CI details in [[reference_ci]].
CI is GitHub Actions, workflow ci.yml. Rerun a flaky job with gh run rerun --failed.
tokens_used: 180
memory_recall followed the [[reference_ci]] link on its own. In testing, a Codex agent given only this server answered a question by calling memory_list and then memory_get.
| Tool | What it does |
|---|---|
memory_list | Every memory with its type and one-line description. Optional type filter. |
memory_get | One memory in full. feedback-testing and feedback_testing both work. |
memory_recall | The named memories plus the ones they [[link]] to, trimmed to a token budget. Unknown names come back as missing. |
memory_due | Memories old enough to re-confirm before relying on them. |
memory_write | Save or replace a memory in Claude Code's format, and add it to the MEMORY.md index. Not offered with --read-only. |
memory_delete | Delete a memory and its index line. Not offered with --read-only. |
recall-mcp options: --claude-code [repo] (the default, using the current directory), --dir for any other memory directory (add --format claude-code to write Claude Code's file format there), --read-only, and --allow-secrets. RECALL_DIR, RECALL_READ_ONLY=1 and RECALL_ALLOW_SECRETS=1 work as environment variables.
npm install @fainir/recall
import { Recall } from '@fainir/recall';
const memory = Recall.forClaudeCode('/Users/you/code/acme-api'); console.log(memory.dir);
for (const m of await memory.list()) console.log(m.name, '|', m.type, '|', m.description);
const slice = await memory.recall({ requires: ['feedback-testing'] }); console.log(slice.memories.map(m => m.name), slice.tokens_used);
// Save something Claude Code will see in its next session. await memory.write({ name: 'project_freeze', type: 'project', description: 'merge freeze until the 3rd for the mobile release', body: 'No merges to main until Nov 3. Why: mobile release cut.', });
Output (before the write):
/Users/you/.claude/projects/-Users-you-code-acme-api/memory
feedback_testing | feedback | run the integration suite before saying a change works reference_ci | reference | where CI runs and how to rerun a flaky job user_role | user | backend lead, prefers short answers with the command to run [ 'feedback_testing', 'reference_ci' ] 180
write() produces the file Claude Code itself writes:
---
name: project_freeze description: merge freeze until the 3rd for the mobile release metadata: node_type: memory type: project modified: 2026-10-27T17:51:14.486Z
No merges to main until Nov 3. Why: mobile release cut.
and adds a line to MEMORY.md, the index Claude Code loads at the start of every session, leaving the existing lines alone:
- [Testing](feedback_testing.md) - run the integration suite before saying a change works
Rewriting an existing memory keeps the fields recall does not own, such as Claude Code's originSessionId.
claudeCodeMemoryDir(repo) returns the directory, using Claude Code's rules:
a-z, A-Z and 0-9 turned into -. Paths longer than 200 characters are cut and given the same hash suffix Claude Code adds.CLAUDE_CONFIG_DIR replaces ~/.claude. CLAUDE_CODE_PROJECT_DIR_NAME (next to CLAUDE_CONFIG_DIR) names the folder. An autoMemoryDirectory setting in the project's .claude/settings.local.json or your ~/.claude/settings.json wins over both.This was checked against a real ~/.claude/projects folder: the rule reproduced 40 of 41 project folder names, including all three long, hashed ones (the other one belonged to a session that was moved after it started). recall listed and parsed all 194 memory files in it.
The package exports the Recall class and claudeCodeMemoryDir(). Every method is async.
| Call | Arguments | Returns | ||||||
|---|---|---|---|---|---|---|---|---|
Recall.forClaudeCode(repo) | path inside a project; default the current directory | a Recall on Claude Code's memory directory, in claude-code format | ||||||
new Recall({ dir, format }) | dir: memory directory. format: recall (default) or claude-code | a Recall instance | ||||||
write({ name, type, description, decay_class, body, extra }) | name: slug (required). type: user \ | feedback \ | project \ | reference (required). description: one line, default ''. decay_class: permanent \ | slow \ | fast \ | ephemeral, default slow. body: Markdown, default ''. extra: more frontmatter fields | { name, type, decay_class, updated_at }. Creates or replaces / .md; in claude-code format also updates MEMORY.md |
get(name) | a memory name; - and _ are interchangeable, and a frontmatter name also matches | a Memory, or null | ||||||
list({ type }) | optional type filter | Memory[], sorted by name | ||||||
recall({ requires, link_depth, budget_tokens }) | requires: names. link_depth: [[link]] hops to follow, default 1. budget_tokens: default 2000 | { memories: Memory[], tokens_used, missing: string[], dropped: string[] } | ||||||
dueForReview(asOf) | Date or date string, default now | Memory[] past their review window, each with age_days | ||||||
delete(name) | exact memory name | true if a file was removed, false if it did not exist | ||||||
claudeCodeMemoryDir(repo) | path inside a project | the directory path (it may not exist yet) |
A Memory is { name, type, description, updated_at, frontmatter, body, links }. type and updated_at come from the flat fields or from Claude Code's metadata: block, whichever the file has. links lists the memory names the body links to, deduplicated and in order.
write, get and delete throw on an unsafe name; write also throws on an invalid type or decay_class, a non-string body or description, or a reserved extra key. recall never throws on unknown names; it lists them in missing.
One file per memory, .md, with frontmatter and a Markdown body. recall reads both shapes, whichever format you pick for writing.
Claude Code's format (format: 'claude-code'; older Claude Code files have a flat type: instead of metadata:, and recall reads those too):
---
name: feedback_testing description: run the integration suite before saying a change works metadata: node_type: memory type: feedback modified: 2026-10-20T09:12:44.120Z
Run npm run test:int first. CI details in [[reference_ci]].
recall's own format (format: 'recall', the default, which earlier versions wrote):
---
name: top-customers type: project description: paying customers above $10K ACV decay_class: slow updated_at: 2026-05-25
a-z, 0-9, - and _, starting with a letter or digit, up to 128 characters. That keeps file names safe on every OS.[[name]], [[name|label]] and [[name#heading]] all point at name. They are case-insensitive, - and _ match each other, and links inside code are ignored.key: value lines, quoted strings, # comments, and one level of nesting (Claude Code's metadata: block).MEMORY.md, README.md, My Notes.md, folders) are not memories and are skipped.recall() picks the slicerequires. No embeddings, no fuzzy search.[[wiki-links]] from those, breadth-first, up to link_depth hops.budget_tokens (estimated as characters / 4), memories are dropped untilNur der Anfang wird gezeigt; den Rest findest du im Repo