Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Read and write Claude Code auto memory from Codex, Cursor or any MCP client. Zero dependencies.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
RECALL_READ_ONLYNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"recall": {
"command": "npx",
"args": [
"-y",
"@fainir/recall",
"--claude-code",
"{repo_path}"
],
"env": {
"RECALL_READ_ONLY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add recall --env RECALL_READ_ONLY=your-value -- npx -y @fainir/recall --claude-code '{repo_path}'Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"recall": {
"command": "npx",
"args": [
"-y",
"@fainir/recall",
"--claude-code",
"{repo_path}"
],
"env": {
"RECALL_READ_ONLY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"recall": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@fainir/recall",
"--claude-code",
"{repo_path}"
],
"env": {
"RECALL_READ_ONLY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
RECALL_READ_ONLY envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub fainir, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.3.0) llegó al registro hace 5 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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 untilSolo se muestra el principio; lee el resto en el repo