Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Git-native, review-gated knowledge base for LLM agents. Cited retrieval, audited writes.
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.
VOUCH_KB_PATHNecesitas
¿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": {
"vouch": {
"command": "uvx",
"args": [
"vouch-kb",
"serve"
],
"env": {
"VOUCH_KB_PATH": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add vouch --env VOUCH_KB_PATH=your-value -- uvx vouch-kb serveCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"vouch": {
"command": "uvx",
"args": [
"vouch-kb",
"serve"
],
"env": {
"VOUCH_KB_PATH": "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": {
"vouch": {
"type": "stdio",
"command": "uvx",
"args": [
"vouch-kb",
"serve"
],
"env": {
"VOUCH_KB_PATH": "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.
VOUCH_KB_PATH 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 vouchdev, 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 (1.2.2) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) 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.
Git-native, review-gated knowledge base for LLM agents. MCP server + JSONL tool server + CLI.
Agents should not start every session with amnesia — but they shouldn't get to write whatever they want either.
vouch gives LLM agents durable memory with an explicit review gate: sessions capture themselves, agents *propose* writes, and nothing becomes durable knowledge until you approve it. Approved artifacts are plain files under .vouch/ — YAML claims, markdown pages — so the KB lives in your repo, is reviewed like code, diffs cleanly, and travels with git clone.
The destination is the one Andrej Karpathy's llm-wiki idea file sketches: stop using LLMs as search engines that rediscover your documents on every question — use them as tireless knowledge engineers that compile, cross-reference, and maintain a living wiki, while humans curate and think. vouch is that idea with the write path made trustworthy. vouch compile has an LLM draft the topic pages, but every page cites approved claims, every [claim: …] citation is machine-verified before the draft is filed, and the drafts pass through the same review gate as every other write. The LLM compiles; the human approves; the wiki compounds.
Often true — and worth being honest about. If you want your agent to remember things, a paragraph in CLAUDE.md, a memory file, or your host's built-in auto-memory gets you most of the way, costs nothing, and needs no install. Reach for that first. Recall is not a hard problem.
What is hard is *trust in the write path*, and that's a different problem than memory. Single-writer memory needs no trust model: you're the only author, and a bad line costs you a shrug. The moment writes come from more than one author — several agents, a teammate, a future you who forgot the context — the question stops being "what did we say?" and becomes "who decided this was true, on what evidence, and can I audit it later?" A prompt cannot answer that, no matter how good the prompt is.
That's the whole of vouch:
| one prompt / memory file | vouch | |
|---|---|---|
| Who can write | whatever the agent decides to save | agents *propose*; a human approves — nothing else lands |
| Why believe a line | vibes | every claim cites a content-hashed source; uncited is a validation error |
| When it's wrong | edit and hope | supersede / contradict / archive, with the old version still in history |
| Who changed it | file mtime | append-only audit log: who proposed, who approved, citing what, when |
| At n ≥ 2 writers | last write wins, silently | one gate, one reviewed history, shared by git clone |
| What you read | a growing pile of notes | compiled topic pages with verified citations — a wiki, not a log |
The same argument as a picture — at one writer the two are the same thing; the gap opens at the second writer and only widens:
So the honest pitch: vouch is not a better place to put memory — it's a review gate in front of one, and a wiki on the other side of it. If you're solo and happy, one prompt is genuinely fine; vouch's session capture runs passively alongside whatever your host already remembers, rather than replacing it. But once a fleet of agents writes to shared knowledge — or a team does — that pile of notes needs an editor, and an editor is not something you can prompt your way to. The case in full: docs/review-gate.md.
For the full UI experience (recommended first time):
docker run --rm -p 127.0.0.1:5173:5173 -v vouch-demo-data:/data ghcr.io/plind-junior/vouch-demo
Pre-seeded KB + full webapp console, zero setup. Pass -e ANTHROPIC_API_KEY=sk-ant-... to enable LLM features.
For the full UI without Docker — Python only, no clone, no node:
pipx install 'vouch-kb[web]' # the browser console ships inside the wheel
vouch serve --transport http --port 8731 & # a backend for the current .vouch/ vouch console # console at http://localhost:5173 — connect it to :8731
vouch console serves the same React console as the Docker demo, straight from the installed package.
For CLI + Claude Code integration (most common ongoing workflow):
# one-liner (Linux + macOS) — picks a Python, ensures pipx, installs vouch-kb
curl -fsSL https://raw.githubusercontent.com/vouchdev/vouch/main/install.sh | sh
vouch)pipx install vouch-kb
The one-liner is POSIX sh and never needs sudo — inspect install.sh first if you'd like.
For MCP server or CLI-only use:
docker run -i --rm -v "$PWD:/data" ghcr.io/vouchdev/vouch:latest # stdio MCP server
docker run --rm -v "$PWD:/data" ghcr.io/vouchdev/vouch:latest status # any CLI command
For local development — CLI and webapp, both running from source:
git clone https://github.com/vouchdev/vouch
cd vouch python3 -m venv .venv && source .venv/bin/activate pip install -e '.[dev,web]' # dev,web is what CI installs — make check needs both vouch --version # the CLI now runs straight from src/ — edits apply without reinstalling
make console # webapp in dev mode: vouch backend on :8731 + live-reload
make check # the CI gate: lint + type + test
make console needs node — it starts vouch serve --transport http and the Vite dev server as a pair, installing the console's node deps automatically on first run. To instead serve the console the way a release wheel does (no dev server), run make webapp-build once, then vouch console. See CONTRIBUTING.md for the full dev workflow.
After exploring the demo above, set up vouch in your own project:
1. Set up the KB and wire Claude Code (one command, one-time, per repo):
cd /path/to/your/project
vouch install-mcp claude-code # creates .vouch/ (if missing) + wires Claude Code
install-mcp initialises the KB when no .vouch/ is discoverable (pass --no-init to skip; vouch init still exists for KB-only setup), then writes .mcp.json (the kb.* MCP tools), the /vouch-* slash commands, and the weight-bearing hooks — SessionStart recall, UserPromptSubmit per-prompt recall, SessionEnd rollup. Per-tool PostToolUse observe / Stop answer are opt-in (capture.realtime; default off). It also registers vouch as a local-scope MCP server in ~/.claude.json (the ⚑ line in the output). Reload your editor window (VS Code: *Developer: Reload Window*) so it loads.
Why the extra registration? A committed
.mcp.jsonis a *project*-scope server, and Claude Code only loads one after a per-user approval — which the VS Code extension never prompts for, so.mcp.jsonalone leaves thekb_*tools invisible in the extension (they sit at "pending approval", while the hooks quietly work — easy to misread as "connected"). The local-scope entryinstall-mcpwrites is trusted on sight, so a fresh install just connects. Verify withclaude mcp list(vouch … ✔ Connected). Pass--no-approveto skip it and approve.mcp.jsonyourself.
What you'll see. Every prompt is checked against the KB first. When vouch knows something relevant, the answer opens with "From vouch memory:", grounded in the cited items; when it doesn't, it opens with *"Nothing in vouch on this."* — recall is visible on every turn, never silent. (A fresh KB knows almost nothing yet: work a session or two so capture fills it, then ask about the project again.)
Prefer one install for every project?
vouch install-mcp claude-code --globalwires vouch once, machine-wide: user-level hooks and commands in~/.claude/plus a user-scope MCP server in~/.claude.json. Every Claude session in every folder then captures + recalls into *that folder's own*.vouch/— data stays per project. Runvouch initonce in each project you want vouch in; by default a folder without a KB never captures anywhere — its session opens with a one-line "runvouch initto enable durable memory here" note and thekb_*tools say the same. Safe next to existing per-project installs: duplicate hooks collapse and capture dedups by event id.
Optionally, a personal catch-all KB. The global install asks one question (or pass
--personal-fallback; later:vouch hub init-personal --fallback): opt in, and folders *without* a project KB capture into a personal KB at~/.local/share/vouch/personalinstead of nowhere — each captured source stamped with the folder it came from, and the session banner saying exactly where the knowledge is going. It is one store shared by every KB-less folder: recall in any of them reads the whole personal KB, so knowledge captured while working in one such folder can surface in another (the injected block says so). Projects with their own.vouch/are never affected. When such a folder later becomes a real project,vouch init+ `vouch adopt` moves its captures into the new project KB *through that KB's own review gate*: sources copy byte-identically, every claim is re-proposed and its byte-offset receipt re-verified, and the project's review config decides durability — adoption never bypasses review. Strictly opt-in; without it, nothing changes.
2. Point `compile` at an LLM — the only step that needs a model. In .vouch/config.yaml:
compile:
llm_cmd: "claude -p --model sonnet"
3. Work a session — it captures itself. Use Claude Code normally. Each tool call is harvested into a gitignored scratch buffer, and at session end the buffer rolls up — mechanically, no LLM — into one pending session-summary page. Never auto-approved: the next session greets yo
Solo se muestra el principio; lee el resto en el repo