GitHub
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Descripción del creador (original en inglés)
Records your Claude Code, Codex and Pi history before deletion. Cited-or-abstain recall.
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.
BRAIN_HOMENecesitas
¿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": {
"brain": {
"command": "uvx",
"args": [
"brain-mcp"
],
"env": {
"BRAIN_HOME": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add brain --env BRAIN_HOME=your-value -- uvx brain-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"brain": {
"command": "uvx",
"args": [
"brain-mcp"
],
"env": {
"BRAIN_HOME": "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": {
"brain": {
"type": "stdio",
"command": "uvx",
"args": [
"brain-mcp"
],
"env": {
"BRAIN_HOME": "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.
BRAIN_HOME 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 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub mordechaipotash, 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 (2.0.0) llegó al registro hace 35 días.
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: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ 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
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 AI history is being deleted right now. Claude Code deletes session files older than cleanupPeriodDays (default 30) at startup. Run this and see your own cliff edge:
# macOS
find ~/.claude/projects -name '*.jsonl' -exec stat -f '%Sm %N' -t '%Y-%m-%d' {} + | sort | head -3
find ~/.claude/projects -name '*.jsonl' -printf '%TY-%Tm-%Td %p\n' | sort | head -3
The oldest date you see is where your history ends. brain-mcp records it before it goes — the whole session, subagent transcripts and saved tool output included, byte-exact, content-hashed, locally — makes it queryable with citations you can verify with sed and shasum, tells you what was deleted, and puts it back.
brain-mcp health # the receipt: "3 session(s) and 41 file(s) are gone from where the
brain-mcp restore --list # what can be put back brain-mcp restore # writes the session (and its folder) back, byte-exact, then:
restore never overwrites different bytes (identical bytes are a no-op), is all-or-nothing, and takes --dry-run and --to . It is a CLI verb only — no MCP tool writes outside the floor.
pipx install brain-mcp # or: uvx brain-mcp
brain-mcp install cc # CC hooks + 60-second scheduler brain-mcp serve # the MCP server (stdio) — add to your client config
Or as a Claude Code plugin (hooks + server in one step):
/plugin marketplace add mordechaipotash/brain-marketplace
/plugin install brain
.meta.json, tool-results/) via a 60-second poll-scan. One spool, one floor.~/.brain/lake/ / .jsonl — append-only, byte-identical to the original, with an append-only sha256 manifest. Nothing is parsed and discarded; the DuckDB index is a cache, fully re-derivable from the lake.{file, line span, sha256} — checkable by anyone with sed -n 'A,Bp' file | shasum -a 256, no database required. Zero hits return an explicit abstention naming the lanes and dates actually searched.fresh = the floor holds everything the agent's files show; stale = the agent has content the recorder missed; `unknown` = unmeasured, not healthy — never folded into "looks fine".brain-mcp backup syncs lake+manifest and re-hashes sampled files at the destination. The verify can fail; that is the point.fts) from DuckDB's own extension repository the first time the index is built, and caches it under ~/.duckdb. brain-mcp install does that fetch up front and says so; brain-mcp doctor reports whether it is cached.| tool | what |
|---|---|
brain_search | BM25 over everything recorded; cited hits or an explicit abstention |
brain_get | the raw lines behind a citation, with sha verification |
brain_recent | time-ordered recent activity, every row cited |
brain_sessions | session cards per day/agent |
brain_health | per-lane origin-vs-floor freshness (unknown ≠ healthy), plus the receipt of what the agents deleted |
brain_capture_status | is the machinery itself moving (spool, heartbeats, floor) |
brain_backup | verified backup; writes only outside the floor |
*You're reading this because your human runs THE RECORDER and gave you access to their AI history. This is the honesty contract.*
The one rule: everything you state from these tools is either CITED or ABSTAINED — there is no third state. A cited claim carries a checkable pointer (file + line span + sha256); verify it with brain_get(expect_sha256=...) before building on it. An abstention means "not found above threshold in the lanes and dates the tool measured" — it does NOT mean "it never happened". Never fill an abstention with your own guess.
verified: false from brain_get means the floor changed since indexing. Say so plainly.unknown lane is never "everything looks fine". The honest sentence is: "2 lanes fresh, 1 stale, 1 unmeasured."brain_search(query, role="user"). That returns what the PERSON wrote: text the harness injected under the user role (skill bodies, reminders, slash-command wrappers, compaction summaries, Codex context blocks — a quarter to two thirds of "user" rows, measured) is excluded unless you pass include_machine=True, and subagent transcripts unless include_subagents=True. "How did my thinking evolve" → add order="time_asc"; bound it with since / until. The server has no opinion about your human's mind; it has their words, with receipts.~/.brain/
spool/ / hooks + scanner write here (atomic, dot-tmp invisible) lake/ / .jsonl THE FLOOR: append-only, byte-identical to the origin; a rewrite opens .g2.jsonl — old kept, never deleted lake/cc_sessiondir/ / /... a CC session's folder, mirrored at the same relative paths (subagents/, tool-results/, *.meta.json) manifest/manifest.jsonl one versioned line per chunk: byte range, line range, sha256 offsets/ / hook fast-path line counters health/*.last_run side-effect heartbeats (mtimes are the proof, never a report) brain.duckdb the index — a cache, re-derivable from lake/ + manifest/
Where your agents keep their transcripts: Claude Code ~/.claude/projects/**/*.jsonl (rolling window!), Codex ~/.codex/sessions/YYYY/MM/DD/rollout-*.jsonl, Pi ~/.pi/agent/sessions/**/*.jsonl.
brain-mcp record # one capture tick (the scheduler runs this every 60s)
brain-mcp health [--exit-nonzero-on-stale] # cron-able brain-mcp doctor # capture status, health, fts cache, the receipt, runaway generations brain-mcp restore [ ] [--list] [--to DIR] [--dry-run] # put a deleted session back brain-mcp redact --lines A B --reason "..." # tombstone a secret; audited in manifest brain-mcp migrate-v1 # import v1 data (marked v1_derived) brain-mcp uninstall # removes hooks + scheduler; your floor is KEPT
v2 is a rebuild around one principle: capture the bytes first; derive everything else. v1 parsed conversations into a parquet and discarded the originals — v2's floor makes that structurally impossible. v1's 25 tools became 7: the synthesis tools ("cognitive patterns", "switching cost") are gone because a claim that can't carry a line-span citation isn't one this server makes. Migration: brain-mcp migrate-v1 — v1 rows are kept, marked as derived, and floor-backed rows win wherever the source still exists.
Windows: out of scope for v2.0. Scheduling is LaunchAgent (macOS) / systemd user timer (Linux).
MIT.