Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Local-first, state-centric memory for coding agents. MCP server + CLI.
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.
MONET_STORAGE_DIRNecesitas
¿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": {
"monet": {
"command": "npx",
"args": [
"-y",
"@team-monet/monet",
"start"
],
"env": {
"MONET_STORAGE_DIR": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add monet --env MONET_STORAGE_DIR=your-value -- npx -y @team-monet/monet startCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"monet": {
"command": "npx",
"args": [
"-y",
"@team-monet/monet",
"start"
],
"env": {
"MONET_STORAGE_DIR": "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": {
"monet": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@team-monet/monet",
"start"
],
"env": {
"MONET_STORAGE_DIR": "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.
MONET_STORAGE_DIR 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 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub team-monet, 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 (1.12.0) llegó al registro ayer.
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.
Memory should change what your agent does.
🌐 [team-monet.com](https://team-monet.com/) · listed on the [MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.team-monet/monet)
Monet is local-first memory for coding agents, built for the outcome you meant. It keeps what you and your team actually want — principles, rules, corrections — and delivers it while the agent works: principles always on, rules read at the moment they bind, corrections recorded so they never need making twice. It runs 100% locally (SQLite + on-device embeddings) and speaks MCP.
The easiest way to use Monet is to let your agent install and wire it for you. Paste one line into Claude Code (more agents coming soon):
Set up Monet for all my projects: read https://raw.githubusercontent.com/team-monet/monet/main/harness/bootstrap/install.md and follow it, checking with me at each step.
Your agent installs Monet, wires up the MCP server, and pulls in a memory-aware agent team — no manual config, no environment variables. That's the with-monet harness, which lives in harness/ in the Monet repo, and it's the recommended path.
⭐ If Monet helps, [star Monet on GitHub](https://github.com/team-monet/monet) — it's the best way to support the project.
Monet keeps one local store at ~/.monet and automatically organizes each project into its own *circle* — nothing to set up. Everything stays on your machine.
Run as many agent sessions as you like: they share one copy of the embedding model, so another session costs tens of megabytes rather than gigabytes. The first session that needs the model starts one background process (model-host) to hold it. It is reachable only by your own user, never over the network, and it exits by itself after a few idle minutes; the next session that needs it starts it again. It works through one request at a time, so a very long write makes other sessions wait. If it ever stops answering, the waiting call fails after ten minutes and says which process to end.
monet dashboardRun one command to open a local web view of your Monet memory as an explorable, force-directed graph:
monet dashboard
It opens in your browser automatically — if it doesn't (some Windows/headless setups), the terminal prints the URL (http://localhost:7373) and the store path; just visit that URL. The Graph tab is the main view: nodes are concepts (colored by kind, sized by importance), edges are the relationships between them, and a detail panel lets you read any concept's full body and evidence. The Concepts, Entities, Timeline, and Health tabs are sortable tables — Health surfaces contradictions, duplicates, and low-confidence concepts. If the graph looks empty, check the Store: line in the terminal: an empty graph usually means it's pointed at the wrong store (use -d) or the store is just new.
100% local. Fully offline. Strictly read-only. The server copies your store into a temporary snapshot on each request — the live database is never written to or locked. No network connections are made; run it with wifi off and the graph still renders.
monet dashboard # opens at http://localhost:7373
monet dashboard -p 8080 # -p, --port custom port monet dashboard -d ./path # -d, --dir point at a specific store
monet doctor / monet repairIf Monet reports an embedder pin mismatch, an interrupted embedding migration, malformed vectors, or an unavailable local model, start with the read-only diagnostic command:
monet doctor
monet doctor --check-provider # also load and probe the exact pinned provider monet doctor --dir ~/.monet --json # machine-readable result; diagnostics stay on stderr
doctor prints the absolute database path, SQLite integrity and schema, the durable model pin, all four live embedding populations (including dimensions and malformed-row samples), any migration sentinel, and copy-paste next commands. It does not construct MonetCore or alter the database. A healthy diagnosis exits 0; a completed diagnosis that needs recovery or provider action exits 2; inspection failures exit 1. An unavailable provider is reported separately from store safety—for example, an unsupported hashing tokenizer or missing ONNX cache does not by itself mean the database is corrupt. For an ONNX or custom model ID whose shape cannot be proven from the pin alone, --check-provider can reconcile an otherwise unknown assessment only when the exact provider loads and every clean live population has the same matching vector width.
A host that cannot start the server reports only that the connection closed — the transport does not exist until every fallible startup step has already succeeded, so there is no protocol channel left to explain a failure. The cause is written beside the store instead, at monet.db.startup-failure.json: the step it died in, the error and its code, the time, and the pid. The record is a sidecar of one database, named after it, so a directory holding more than one store never mixes their diagnoses. doctor prints that record on stderr before anything else, including when the store itself is too damaged to inspect.
The record holds only the most recent failure, and a later successful start does not clear it — hosts retry, so fail → fail → succeed is ordinary, and clearing on success would erase the evidence of the attempts that failed. Read the timestamp before acting on it.
Repairs are previews unless both confirmation flags are present. Choose exactly one mode:
# Preview a complete rewrite to a built-in provider alias.
monet repair --target hashing monet repair --target onnx
monet repair --target 'hashing:dim=256:tok=2' --json
monet repair --target hashing --apply --yes
monet repair --resume monet repair --resume --apply --yes
monet repair --abandon monet repair --abandon --apply --yes
Preview classifies the durable state before offering an apply command. An empty unpinned store or a clean, provider-compatible same-target store reports action: none; no backup or rewrite is needed, and --apply --yes refuses. Abandon preview also refuses unless a sentinel exists and core diagnostics classify it as safe. A valid target or resume preview loads and probes the exact provider but does not open the database for mutation. Apply preflights the provider again, takes exclusive SQLite ownership, and creates a verified backup before core can migrate schema or embeddings. Backups are automatic and cannot be disabled or redirected:
<storage-directory>/backups/monet-before-repair-<UTC>-<uuid>.db
The backup path is printed immediately and retained if later work fails. Stop other Monet processes if exclusive ownership cannot be acquired, then rerun the same command. Do not delete an active migration sentinel or edit the pin manually: use --resume, or use --abandon only when its preview says core classifies abandonment as safe. Successful previews and applies exit 0; invalid flags, provider failures, locks, unsafe abandon attempts, backup failures, and migration failures exit 1.
Monet is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0-only). Full terms are in the LICENSE file included in this package. The with-monet harness is licensed separately under the Apache License 2.0.