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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Infernoflow

de ronmizversión 0.50.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.ronmiz/infernoflow

Instalar

Resumen

Descripción del creador (original en inglés)

Git-native memory for coding agents: gotchas, decisions and bookmarks as plain text in your repo.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • npmNode.js instalado (para el comando npx)

¿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": {
    "infernoflow": {
      "command": "npx",
      "args": [
        "-y",
        "infernoflow",
        "mcp"
      ],
      "env": {
        "INFERNOFLOW_PROJECT_DIR": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add infernoflow --env INFERNOFLOW_PROJECT_DIR=your-value -- npx -y infernoflow mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "infernoflow": {
      "command": "npx",
      "args": [
        "-y",
        "infernoflow",
        "mcp"
      ],
      "env": {
        "INFERNOFLOW_PROJECT_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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "infernoflow": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "infernoflow",
        "mcp"
      ],
      "env": {
        "INFERNOFLOW_PROJECT_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.

Valores que debes completar

  • INFERNOFLOW_PROJECT_DIR env
    Absolute path of the project whose memory to use. Defaults to the open workspace folder.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub ronmiz, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7264 servidores de esta categoría
  • Publicado en el registro más recientemente que el 90% de los otros 7264 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7264 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Infernoflow?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.50.0) llegó al registro hace 4 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

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

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado ayer
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 21 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado el mes pasado
Instalar

README del creador

Abrir el README

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.

🔥 infernoflow

Every new AI session starts cold — the gotchas you found, the decisions you made, don't survive. infernoflow makes them stick.

Persistent memory for AI coding sessions. Captures the gotchas, decisions and dead ends your code can't tell an agent — and replays them into your next Cursor / Claude Code / Copilot chat so the same wrong turn never happens twice.

You spent 90 minutes yesterday teaching Claude that your auth API returns 200 even on errors — check the response body, not the status code. Today you ask the same kind of question and watch it write if (response.ok) { return data } all over again. The AI didn't get worse overnight. It just doesn't have memory.

infernoflow is a local-first CLI + VS Code extension + open protocol (AMP) that gives your AI persistent context across sessions. No SaaS. JSONL on disk. Three rule files your IDE already reads.

Built-in assistant memory remembers *you*. infernoflow remembers the *codebase*: the memory lives in your repo under .ai-memory/, travels through git to your teammates, and works the same in Claude Code, Cursor and Copilot.


What's new in 0.50

  • The MCP server tells the agent how to use the memory. Clients that show MCP server instructions, such as Claude Code, now get the memory protocol when they connect: check where you stopped, search before changing a file, save decisions, gotchas and failed attempts without being asked. It works even where no hook or rule file loads it.

What's new in 0.49

  • Unsaved decisions come back. If a Claude Code session ends with a decision or finding you stated but nobody saved, the next session starts with a one-time reminder to offer saving it (the quote stays on your machine).
  • `setup` shows what is really installed — every part, installed, skipped with the reason, or missing with the command that fixes it.
  • `setup` runs init with the CLI you installed, never npx through a shell.

What's new in 0.48

  • Codex CLI. setup registers the MCP server in .codex/config.toml (no machine paths, safe to commit) and creates AGENTS.md with the memory block, on machines with Codex.
  • Pre-commit note. When a commit touches a file that memory has a gotcha, failed attempt or decision about, git commit shows it first. Never blocks.
  • Safer uninstall. It removes only infernoflow's block from your rule files; it used to delete CLAUDE.md whole.

What's new in 0.47

  • Committed configs stay clean across the team. .vscode/mcp.json and .cursor/mcp.json no longer hold your machine's paths (infernoflow mcp in ${workspaceFolder}), and the rule files no longer list recent commits or personal memory — so a teammate's pull doesn't leave changed files. Optional AGENTS.md support.
  • Save reminders from what you type (Claude Code): "remember this", "we decided…", "turns out…" — in English or Hebrew — remind the agent to save it in its own words. Hebrew frustration phrases are logged too.

What's new in 0.46

  • Memory maintenance hints (0.46.5): status, recap and the session start tell you when memory has duplicates, noise or entries about files that changed since, and name the command to fix it. Set "maintenance": "auto" in .ai-memory/amp.json to tidy up once a day, or "off". Also: every command has its own --help that never runs the command.
  • Fresh memory every Claude Code session — a SessionStart hook injects current memory (framed as information to verify, not instructions); CLAUDE.md no longer carries a copy that goes stale.
  • `infernoflow resume` — "where were we?" in one call. Claude Code also leaves an automatic local resume point when a session ends.
  • Stale and resolved entries — entries about a file that changed since are marked *may be stale*; infernoflow resolve retires one from AI context.
  • Review what arrives through git (0.46.1) — memory added by teammates is listed until you review it, and the GitHub Action shows memory changes in each PR.
  • Safer by default — only read-only MCP tools are pre-approved; the memory-keeper agent is limited to single infernoflow commands; secrets are redacted; MCP is registered per project.
  • `infernoflow doctor --e2e` (0.46.3) — an end-to-end self-test in a throw-away sandbox: CLI, the MCP server with every tool called, the prompt and session hooks, git drift, attribution. Also: prompt hooks ignore agent/tool text, memory-mode projects aren't offered contract tools, git drift reports git failures, and every entry names who wrote it.

Full list: CHANGELOG.md.

Session bookmarks

Drop a named resume point mid-session. When the context window fills up or you're about to make a risky change, one command captures the current session's transcript and stores it as a jumpable checkpoint:

infernoflow bookmark "before the SP refactor"

Or just say it in chat — the Cursor beforeSubmitPrompt hook catches phrases like "bookmark this" / "mark this point" / "save this checkpoint" and drops the bookmark itself, no AI cooperation required. Or let the AI do it via the amp_bookmark MCP tool when it notices the session is getting long.

No `--note`? infernoflow reads Claude Code's own on-disk transcript (~/.claude/projects/…/*.jsonl), distills the last 40 turns to markdown, and stores it as the bookmark's context. Fully deterministic — no model call. Recall any time:

infernoflow bookmark list                # ● has context, ○ marker only

infernoflow bookmark show "SP refactor" # jump back — see the whole snapshot

Bookmarks are never auto-pruned, and they surface in infernoflow switch under a ## 🔖 Bookmarks — Resume Points section so the next session opens right where work paused.


🆕 Proactive capture — a Claude skill + a memory-keeper agent

init now installs two things into .claude/ so the loop runs itself on Claude Code:

  • `infernoflow-memory` skill (.claude/skills/) — teaches the agent to start warm (resume), then proactively log real gotchas, decisions-with-a-*because*, dead ends, and durable preferences, and drop a bookmark at stopping points or when you say *"bookmark this"*. Capture is balanced — it skips routine steps, anything obvious from the code, secrets, and duplicates.
  • `memory-keeper` subagent (.claude/agents/) — a specialist you can delegate to. It sweeps the session, dedupes against what's already stored, logs what's worth keeping, drops bookmarks, and reports back. It never edits code or logs secrets, and a guard limits its shell to single infernoflow read/log commands (blocked if the guard can't run).

Both are installed automatically by infernoflow init (fresh and on re-run of an existing project) and ship in the package — nothing to set up by hand.


The loop

Every new AI session today starts cold. The agent re-reads your code, re-derives the obvious, and re-makes the same wrong move someone else made yesterday. infernoflow closes that loop in four stages:

  1. Capture — while you and the agent work, moments worth saving get logged automatically: a gotcha hit, a decision made, an attempted fix that failed, a pattern noticed, a resume point marked. The AI writes them via the amp_write MCP tool. A protocol block injected into the rule files teaches it exactly when. Prompt hooks (Claude Code UserPromptSubmit, Cursor beforeSubmitPrompt) backstop the AI by scanning the text you typed — subagent hand-backs, system reminders, fenced or indented code, quotes and stack traces are skipped — for trouble signals (not working, still broken, same error; !! / retry only in short prompts) and writing the entry deterministically when the AI doesn't (English and Hebrew). In Claude Code the hook also notices when you ask the agent to remember something, state a decision or describe a finding, and reminds the agent to save it in its own words — it stores nothing itself for those. If a session ends with one of those still unsaved, the next session starts with a one-time reminder to offer saving it. The Cursor hook also turns *"bookmark this"* into a bookmark.
  2. Link — each captured moment becomes a structured AMP entry (gotcha | decision | attempt | note | detection | pattern | bookmark) with timestamp, file:line, tags, and a stable AMP id.
  3. Persist — entries land in .ai-memory/branches/ .jsonl (git-tracked, travels with your branch — teammates inherit it) plus .ai-memory/global.jsonl (personal preferences, gitignored, synced across your machines via any OS-synced folder).
  4. Restore — when a new session starts, the agent reads CLAUDE.md / .cursorrules / copilot-instructions.md at boot. The most relevant entries are already there. Warm start; no cold derivation.

And at the last moment before a repeat: when a commit touches a file that memory has a gotcha, failed attempt or decision about, the git pre-commit note prints those entries — to you or to the agent running git commit. It never blocks the commit. (setup / init install it in .git/hooks; turn it off with "preCommit": "off" in .ai-memory/amp.json.)

No service to log into. No SaaS. JSONL on disk, an MCP server, and three rule files your IDE already reads.


Install

npm install -g infernoflow

infernoflow init --yes

Zero runtime dependencies. Works on Node ≥ 18 — macOS, Linux, Windows.

init --yes does the whole setup: creates .ai-memory/, writes rule files for every supported IDE, wires the MCP server for Cursor / VS Code Copilot / Claude Code in one shot, installs the infernoflow-memory skill + memory-keeper agent into .claude/, applies the clean-tree git policy, and drops a visible demo entry so you can confirm the loop is alive with:

infernoflow status

The 5-command core + 4

These cover 95% of usage:

CommandWhat it does
infernoflow log "..."Remember a gotcha / decision / attempt / note. `--type gotcha\decision\attempt\preference`
infernoflow resume🆕 0.46 "Where were we?" in one call — last resume point, open dead ends, recent decisions, uncommitted work. --file ranks by file
infernoflow ask "..."Search your memory by keyword — gotchas surface first. --file ranks entries about that file first
infernoflow switchGenerate a handoff for the next session. --copy puts it on your clipboard
infernoflow recapEnd-of-session summary with health score + unlogged-change detection; lists memory that arrived through git and marks it reviewed
infernoflow statusQuick health check — entries, gotchas, decisions, last activity

| infernoflow bookmark "..." | 🆕 Drop a named resume point — auto-captures the session transcript as its context. list / show / rm round it out. Surfaces in switch.

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx