GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Descripción del creador (original en inglés)
Local-first memory for AI coding agents: shell history with exit codes, git diffs, docs, MCP.
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": {
"nexusmem": {
"command": "npx",
"args": [
"-y",
"nexusmem",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add nexusmem -- npx -y nexusmem mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"nexusmem": {
"command": "npx",
"args": [
"-y",
"nexusmem",
"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": {
"nexusmem": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"nexusmem",
"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 9 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub yaminbkk, 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 (0.10.5) llegó al registro hace 2 meses.
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:↓ 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 coding agent can read git log. It cannot read the four things you tried last Tuesday that didn't work.
NexusMem records what actually happened on your machine (shell commands and their exit codes, git history down to the patch of each changed file, project docs, optionally your assistant transcripts) into a local SQLite database, and serves back a ranked, token-budgeted slice of it on demand. Everything stays on disk. No account, no cloud, no telemetry.
The shell history is the part worth caring about. Git tells an agent what shipped. Shell history tells it what was attempted, in what order, and which commands exited non-zero. That information exists nowhere else, and it disappears when your terminal scrollback rolls over.
Contents: Try it · Exact shell capture · Failure → fix chains · How retrieval works · Session summaries · GitHub issues & PRs · Use it from an agent · What it costs you · Staleness & provenance · Where it breaks · Commands · Cross-project recall · On disk · Development
From inside any git repository:
npx nexusmem init
npx nexusmem sync
Then ask it something. Real output from this repository, top 2 of 5 hits:
$ nexusmem query "windows spawn failure"
Relevant history for: windows spawn failure
[observed]/[authored] is the provenance tag (see Staleness & provenance) — a commit is a directly observed event, a doc section is a written claim that could go stale.
A commit and a docs section, ranked against each other, inside whatever token budget you gave it. Nothing was summarized by a model on the way out; the ranker just decided what not to send. (One optional source, session summaries, does run a local model — but at ingest time, never on the way out. What you query is always stored text.)
For a sense of what actually accumulates, here is nexusmem status on this repo after two days:
527 node(s) 2026-08-08 .. 2026-08-09
321 shell_command 130 conversation_turn 60 doc_section 16 git_commit
Sixteen commits. Three hundred and twenty-one shell commands. The commits were already retrievable by any agent with a terminal. The rest was not.
That conversation_turn row only appears because this corpus was synced with --conversation. Assistant transcripts are the one source that is off by default and stays off until you opt in, since they are the likeliest place for a pasted credential to be sitting. A default install indexes git commits, their diffs, shell and docs.
Requirements: Node 22 or newer, and git. Node 20 will not work, because better-sqlite3 ships no prebuilt binary for it and Node 20 went end-of-life in April 2026. Ollama is optional and only affects semantic search (see below).
Scraped history files (PSReadLine, .bash_history, .zsh_history) give you command text and not much else. The hook gives you working directory, exit code and a real timestamp:
nexusmem hook install
It wraps your existing PowerShell prompt rather than replacing it, is idempotent, and nexusmem hook remove undoes it cleanly.
Exit codes are what make this worth installing. A failed command is a stronger signal than a successful one, and without the hook there is no way to tell them apart.
The shell hook above only sees commands *you* type. Commands your coding agent runs go through its own tool, so they never reach an interactive prompt — which means the dead ends an agent hits, the thing worth remembering most, were exactly what NexusMem could not see.
nexusmem agent install # writes Claude Code's hooks; --project keeps it to this repo
Restart Claude Code afterwards. From then on, in any repository NexusMem has been run in:
a.ts, then npm test failed" rather than "npm test failed twice";It stays quiet the rest of the time. There is no match, no message; at most one note per failure per session and five per session; no embedding, model or network call on that path. If NexusMem is missing or broken the hook prints nothing and exits 0, and the agent carries on as if it were not installed.
Commands are redacted before they are written, exactly like the shell hook, and matching is done on a hash of the raw command so two commands differing only by a secret are never confused.
nexusmem agent status shows whether the hooks are installed; nexusmem agent remove takes out NexusMem's own entries and leaves any other tool's hooks alone.
Install from the same environment Claude Code runs in. What gets written into the settings file is a literal command — an absolute path to a Node executable and an absolute path into this copy of NexusMem — and Claude Code hands that string to a shell in *its* environment. Install inside WSL while Claude Code is the Windows binary (or the reverse) and the hooks are configured, look installed, and capture nothing: the paths do not resolve on the side that runs them, and a hook that cannot start produces no error anywhere. nexusmem agent status names any path in the installed command that does not exist on the machine you ask from, which is also what it says after the NexusMem it points at is moved, upgraded to a different location, or uninstalled.
nexusmem sync --link-failures
After a normal sync, this walks every failed shell_command (non-zero exit code) and looks for whatever later resolved it, using two independent heuristics: a later command in the same project and working directory, exact same normalized text, that exited 0 within 24h (same-command retry); and, separately, the best full-text match among nearby conversation turns or session summaries, requiring every significant word of the failing command to appear, not just one (conversation bridge). A failure can be linked by either, both, or neither.
Both links are surfaced in query results. The conversation-bridge heuristic originally matched on any shared word, and dogfooding against this repo's own real history found it wrong on roughly half its links — a shared word as generic as "npm" was enough to link an unrelated discussion. Requiring every significant word fixed that: re-dogfooded against the same corpus, every resulting link (the full set produced, not a sample) checked out correct on manual review of the full text, not just the summary.
When a linked failure appears in a result set, its fix rides along immediately after it, inheriting the failure's own relevance score rather than needing to match the query on its own merits. That is the point: a query about why something failed shouldn't need to separately guess the words used in whatever fixed it. This works across projects too — query --all-projects chains a failure to its fix using whichever project's own database recorded the link, since links are always local to the project they were found in.
$ nexusmem query "why did npm whoami fail"
Every source normalizes to the same MemoryNode shape, so a commit, a shell command and a docs section compete on equal terms. Retrieval runs BM25 over FTS5 and, if an embedding model is reachable, a vector search over sqlite-vec, fused with Reciprocal Rank Fusion on rank *position* only, never raw scores — a BM25 cost and a vector distance live on unrelated, unbounded scales, and position is the only thing they agree on.
Ranking then multiplies three factors:
score = relevance × signal^0.215 × recency^0.288
relevance comes from the query. signal (a fix: commit outranks a chore:; a failed command outranks a successful one) and recency are priors that hold before any query exists. Each factor is floored into [floor, 1] rather than [0, 1], so one weak dimension can't zero out a strong match.
The exponents bound how far signal and recency, *together*, may overturn relevance: at most a 2× gap across their whole range, applied jointly rather than per-prior. That's deliberate — the score *multiplies* the two priors, so capping each at 2× separately still let the pair overturn 4×, and that hit hardest on fresh, high-signal commits made during an active working day. The bug that exposed this: two unrelated same-day fix: commits outranked the docs section that actually answered the query. See retrieval/rank.ts for the full derivation.
Without Ollama, vector search is skipped and you get BM25 only — fully supported, not a degraded state; sync and query both succeed and simply do less.
With sources.session.enabled, each finished session becomes one distilled node next to the raw exchanges — what was decided and why, rather than forty individual turns. It runs a local Ollama chat model (qwen2.5:3b by default); nothing is downloaded automatically and nothing leaves the machine.
nexusmem scan-session --dry-run
That prints the exact prompt a session would produce, after redaction and budget trimming, without calling the model.
Three things bound the cost. A session is only summarized once it has been quiet for settleMinutes (default 30), so a session in progress is not re-summarized on every sync. The prompt is hashed, and an unchanged hash skips the model entirely — on this repo a steady-state sync of 14 summarized sessions takes 0.
Solo se muestra el principio; lee el resto en el repo