GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Descripción del creador (original en inglés)
Git-history memory for coding agents: reverts, weakened tests, hot spots, and unreviewed notes.
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.
Necesitas
¿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": {
"logbook": {
"command": "npx",
"args": [
"-y",
"@promptwheel/logbook-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add logbook -- npx -y @promptwheel/logbook-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"logbook": {
"command": "npx",
"args": [
"-y",
"@promptwheel/logbook-mcp"
]
}
}
}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": {
"logbook": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@promptwheel/logbook-mcp"
]
}
}
}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.
Esta 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 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub promptwheel-ai, 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 (0.8.0) llegó al registro anteayer.
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: GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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 history is large. When coding agents do not inspect it, they can re-propose approaches a repository already rejected.
Logbook turns a repository's Git history into memory an agent can use: a deterministic recall layer (hotspots, reverted approaches, suppressions, assertion weakening, and bounded history queries) plus durable notes an agent writes down after it investigates why a change happened.
Everything runs locally. The CLI has zero npm dependencies, reads raw Git objects for evidence checks, and never sends repository data anywhere. Node.js 18 or newer is required.
npx -y @promptwheel/logbook@latest init
init analyzes the repo, writes the history artifacts, and installs a compact workflow in AGENTS.md, CLAUDE.md, or .cursorrules so the agent reads history before it plans: read LOGBOOK.md, page each task path with context --file, verify leads with git show, refresh, audit, and annotate what it verified. The same workflow ships as an agent skill in plugin/skills/logbook/SKILL.md.
Its output, shortened:
1,326 commits · 322 files · 7.3 years · 354 authors
✓ wrote LOGBOOK.md hotspots · do-not-retry · suppression ledger ✓ wrote events.jsonl 1,326 structured events
The examples below use logbook as the binary name. Run them through the exact package above, or install @promptwheel/logbook@latest locally or globally.
logbook # refresh the history artifacts
logbook context --file src/cache.ts --revert # bounded history for a path logbook audit # what is still suppressed, and since when logbook query --json --file src/cache.ts # the same events as JSONL logbook doctor # read-only artifact and wiring health
context returns history in pages of at most 20 events and 8 KiB; repeat the identical filters with each NEXT cursor until END complete.
When an agent investigates why a prior change happened during real work, it can preserve the result immediately, with no prompt or human gate:
logbook annotate <commit> "why this approach was rejected" --by codex
The note is durably appended to annotations.jsonl and appears in LOGBOOK.md before the command exits. It is always labeled machine-authored and unreviewed and is bounded in the startup digest. An optional exact quote can be attached with --span, --side, and (for diff evidence) --evidence-file; a quote that does not ground in raw Git objects is rejected rather than guessed.
| Path | Purpose |
|---|---|
LOGBOOK.md | Bounded history brief for agents: hotspots, do-not-retry reverts, suppressions, weakened assertions, and fragile areas |
events.jsonl | Structured deterministic history events for tools and queries |
annotations.jsonl | Durable machine-authored notes, shown in the digest as explicitly unreviewed leads |
Commit annotations.jsonl to share the notes with the team, or add it to .gitignore to keep them local to one checkout.
context preserves filtered query order but emits pages of at most 20 events and 8 KiB. A cursor is bound to the repository HEAD, filters, analysis window, and ordered event set, so a stale or edited cursor is rejected instead of silently drifting.
The history scan is cached in bounded windows. On a history of tens of thousands of commits a cold run takes tens of seconds, a warm run that reuses the ledger on disk is well under a second, and a repeat call with an unchanged HEAD in an MCP session is milliseconds. LOGBOOK_NO_CACHE=1 forces a rebuild; LOGBOOK_WINDOW=N tunes the window.
In a random 400-repo sample of the top 2,500 GitHub repositories, the median LOGBOOK.md was about 1,000 estimated tokens while the median full git log was 82× larger. See context economics and the bounded context format.
Three surfaces over the same deterministic history layer:
logbook query --json (filtered, 200 rows unless you pass --limit) and logbook --json (the full ledger) emit JSONL you can shell from any language. logbook audit --json returns the live suppressions as one array. The JSON is cache-invariant (byte-identical with and without LOGBOOK_NO_CACHE=1), so it is safe to parse in CI.@promptwheel/logbook-mcp (bin logbook-mcp) serves the history to an agent over the Model Context Protocol: a Claude Code or other MCP client reads hotspots, do-not-retry reverts, and suppression signals without shelling anything.queryEvents, analyze, auditHead, and hotspots are exported for advanced in-process use; the scan and cache entry points take explicit options, so the CLI and MCP are the first-class surfaces for most integrations.The paired check engine, promptwheel, has the matching surface. Both are described in its INTEGRATE.md.
An internal six-task planning experiment on history-dense repos found that agents without history re-proposed already-tried or already-finished work in 4 of 6 repos and 0 of 6 with LOGBOOK.md in context, at about 4.7k extra plan tokens. A later sealed held-out screen on ten new tasks found no advantage over a strong raw-Git instruction, and traced the gap to retrieval rather than the index. The calibrated claim is: valuable on sufficiently difficult, history-dense tasks; not universally better. Details and limits are in wrong-work-benchmark.md and does-it-change-agent-behavior.md.
logbook init [path]
logbook [path] [--json] logbook audit [path] [--json [--file P ...] [--ref REF]] logbook doctor [path] logbook query [path] [filters] [--json] logbook context [path] [filters] [--cursor TOKEN] logbook annotate SHA "WHY" [optional evidence] [--by WHO]
logbook --help lists every filter and option.
0.11.0 removes logbook refine, logbook journey, and --out. Both commands now fail with not a git repository, and --out is an unknown option. Artifacts always go to the repository root. The analyze result no longer carries first, last, threshold, mentor, abyss, winter, or trials, and renderJourneyAnsi, journeyBeats, almanacStats, GATE_PAT, and MENTOR_PAT are no longer exported. The event and --json shapes, the five MCP tools, and doctor did not change. MCP server 0.8.0 requires this core.
0.10.0 removed the experimental reviewed-decision layer and the OKF export: annotate-draft, pending, accept/accept-draft, accept-lead, reject-lead, check, publish, outcomes, and export. Files that layer left behind (.logbook/, decision-cards.jsonl, annotation-reviews.jsonl) are ignored and can be deleted by hand.
From any release, a normal refresh rewrites a ## Repo memory block that an earlier release generated, so doctor passes after an upgrade. User-edited blocks are never touched. Existing annotations.jsonl rows stay unreviewed digest notes. A JOURNEY.md left by a release before 0.9.7 is ignored and can be deleted. If 0.8 wrote annotations to a custom directory, move that annotations.jsonl to the repository root. Earlier notes are in the git history of this file.
Logbook tells you what history says. promptwheel is the check that verifies whether today's claimed improvement came from the code rather than moving the goalposts.
Apache 2.0.