REA
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
Session memory for AI coding agents: records decisions and dead ends, flags what went stale.
Elige la app de IA que usas y copia la configuración.
Pasó 3/3 revisiones · Funciona en tu computadora · ✓ Comandos revisados el 13 nov 2026
Primero: ¿qué IA usas?
Elige tu app y los pasos aparecen abajo.
Funciona con Claude, pero hay que preparar algo antes
Instala Python (uv) en tu computadora primero (una sola vez) · Solo en la app de Claude para computadora (Windows o Mac), no en la web ni en el móvil
Una sola vez; sirve para todos los servidores que necesitan Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"cogsession": {
"command": "uvx",
"args": [
"cogsession"
]
}
}
}Usa CogSession y dime qué puedes hacer por mí; luego muéstrame una cosa✓ Si Claude dice que está usando CogSession o muestra una herramienta de CogSession en la respuesta, ya está conectado
Nombres de menú comprobados con la ayuda de Anthropic el 11 nov 2026 · tu pantalla puede variar un poco según la versión
ChatGPT todavía no puede conectar CogSession
CogSession se instala en tu computadora, pero ChatGPT solo conecta servidores que funcionan en la web
A · Usa una app que pueda conectar CogSession
B · Otros en Herramientas para desarrolladores que funcionan con ChatGPT
Elegidos entre los más usados de la misma categoría, solo los que se conectan con una dirección y sin clave
Funciona con Claude Code, pero hay que preparar algo antes
Instala Python (uv) en tu computadora primero (una sola vez)
Una sola vez; sirve para todos los servidores que necesitan Python (uv)
Mac: pulsa Command+Espacio y escribe Terminal · Windows: abre PowerShell
claude mcp add --scope user cogsession -- uvx cogsessionDeberías ver CogSession en la lista como conectado
Usa CogSession y dime qué puedes hacer por mí; luego muéstrame una cosa✓ Si Claude Code dice que está usando CogSession o muestra una herramienta de CogSession en la respuesta, ya está conectado
Nombres de menú comprobados con la ayuda de Anthropic el 11 nov 2026 · tu pantalla puede variar un poco según la versión
Funciona con Cursor, pero hay que preparar algo antes
Instala Python (uv) en tu computadora primero (una sola vez)
Una sola vez; sirve para todos los servidores que necesitan Python (uv)
Usa CogSession y dime qué puedes hacer por mí; luego muéstrame una cosa✓ Si Cursor dice que está usando CogSession o muestra una herramienta de CogSession en la respuesta, ya está conectado
Nombres de menú comprobados con la ayuda de Cursor el 11 nov 2026 · tu pantalla puede variar un poco según la versión
Funciona con VS Code, pero hay que preparar algo antes
Instala Python (uv) en tu computadora primero (una sola vez)
Una sola vez; sirve para todos los servidores que necesitan Python (uv)
Usa CogSession y dime qué puedes hacer por mí; luego muéstrame una cosa✓ Si VS Code dice que está usando CogSession o muestra una herramienta de CogSession en la respuesta, ya está conectado
Nombres de menú comprobados con la ayuda de VS Code el 11 nov 2026 · tu pantalla puede variar un poco según la versión
Otras apps que usan MCP, como Windsurf, Zed o Gemini CLI, añaden servidores de forma distinta. Míralo en la lista de apps
Ver todas las apps que usan MCP →
La configuración JSON está en “Para desarrolladores”, abajo
Claude Code
claude mcp add --scope user cogsession -- uvx cogsessionClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"cogsession": {
"command": "uvx",
"args": [
"cogsession"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"cogsession": {
"command": "uvx",
"args": [
"cogsession"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"cogsession": {
"type": "stdio",
"command": "uvx",
"args": [
"cogsession"
]
}
}
}Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Según cómo se conecta este servidor y la documentación de cada app, comprobado el 10 nov 2026.
Se ejecutan en tu computadora en
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 14 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub premanand8800, dueña del repo
Último cambio de código: hace 21 días
Usa Apache-2.0
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
Pregunta, comparte un consejo o avisa de que no funciona. Ordenado por lo que la gente marcó como útil.
Aún no hay publicaciones. Sé la primera persona en preguntar o compartir.
Lo publicado aquí lo escriben usuarios, no el equipo de PopNx.
Aún no hay reseñas
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 3 de 3 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 hace 21 días, y la última versión (0.1.0) llegó al registro hace 3 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: REA, GitHub, Serena MCP: the IDE for your agent
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
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
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.
Session memory for AI coding agents. Your agent forgets everything when the context window fills. CogSession remembers the parts worth keeping, and tells you when they stop being true.
Session 1 (context fills) → Session 2 starts fresh → Session 3 starts fresh
Everything lost. Repeats the mistakes. Starts blind again.
You explain the codebase again. The agent tries the approach that already failed. The constraint you agreed on in session 1 is gone by session 3.
The usual answer is "write better notes", which fails for the same reason all documentation fails: it is true when written and nobody notices when it stops being true.
Three things, and the third is the one that does not exist elsewhere.
1. It records without being asked. A session opens on its own. Decisions, dead ends, assumptions and errors are written as they happen, each stamped with the local time and the repo state it happened at (main@a1b2c3d+2, where +2 is dirty files).
2. It makes that searchable without loading it. Every session keeps a session.md: append-only, one block per event, every entry line self-describing. So one grep answers a question without pulling a file into context.
grep -A4 "dead_end" .cogsessions/*/session.md # what already failed
grep "2026-08-27 01:" .cogsessions/*/session.md # what happened that hour grep "main@a1b2c3d" .cogsessions/*/session.md # what happened at that commit
3. It tells you when what you wrote stops being true. Record a claim with the command that *proves* it. When the files it watches change, the proof is re-run:
[CogSession] 1 claim(s) no longer hold:
✗ the composite key includes the tenant column expected '1', got '0' asserted in: PR description, line 26 proof: grep -c 'UNIQUE (a, b, c)' migrations/007_schema.sql
No model judgement involved. It stores the command that proved something and re-runs it. Silence means everything still holds.
Every expensive failure in three weeks of daily use reduced to one sentence: *something was true when it was written and stopped being true.* A pull request description explaining a schema the code no longer had. A comment naming a constraint that moved. A test asserting a shape the implementation had dropped. A docstring contradicting its own function.
An agent cannot notice that from a transcript. A human notices it in review, which is the expensive place. A stored proof notices it for free.
You are probably here because of one of these:
The first four are what any agent-memory tool is for. The fifth is the one CogSession was actually built to solve, and it is the reason for the claims feature above.
Notes go stale silently. That is the entire problem, and no amount of discipline fixes it, because the failure is not that you forgot to write something down — it is that what you wrote stopped being true and nothing told you.
A claim is a note with a proof attached. When the proof stops passing, you hear about it.
Built-in memory decides what to keep. This records what happened, in a plain file you own, in your repo's directory, greppable with tools you already have. It works the same whether the agent is Claude Code today or something else next year, because the output is markdown and JSONL rather than a vendor's store.
.cogsessions/
├── sess_001_discover/ │ ├── session.md ← greppable timeline, every entry timestamped + git-stamped │ ├── handoff.md ← the brief the next session reads first │ ├── claims.json ← assertions with the commands that prove them │ ├── dead_ends.md ← what failed and why, so it is not retried │ ├── assumptions.md ← what was assumed but never verified │ ├── tasks.json ← done / remaining / blocked │ ├── decisions.json ← flagged when made under high context pressure │ ├── environment.json ← the commands that restore a working state │ ├── architecture.mermaid← auto-generated dependency diagram │ └── session_log.jsonl ← append-only machine log ├── sess_002_auth/ (parent: sess_001) └── sess_003_payments/ (parent: sess_001, sibling of sess_002)
Sessions form a tree, like branches, because work does. session_tree shows it; session_log is a git log --oneline across all of them.
uv for the install scriptgit is optional. Without it the journal records no-git and stays usefulpip install cogsession # or: uv tool install cogsession
cogsession-admin install
Two commands on purpose. The first installs the MCP server; the second wires the hooks, which is what makes CogSession record without being asked. A package cannot write to ~/.claude/settings.json on its own, so without the second command you get eleven tools you must call by hand and none of the recording.
cogsession-admin install backs up your settings first, adds the six hooks alongside anything already there, and will not overwrite a status line you already set.
Installing from a clone instead (for working on CogSession itself)
git clone https://github.com/premanand8800/cogsession.git
cd cogsession uv sync uv run cogsession-admin install --repo .
--repo points the hooks at your checkout through uv, so edits take effect without reinstalling.
The installer syncs dependencies with uv, registers the MCP server with Claude Code, and writes the hooks that let it observe a session without being asked. It touches ~/.claude/settings.json and nothing inside your projects.
It will not write to a file git tracks. The handoff goes to CLAUDE.local.md, which is auto-loaded the same way CLAUDE.md is but never committed. If that filename happens to be tracked in your repo, CogSession refuses to write rather than dirtying your tree, and tells you where the handoff is on disk instead. Add .cogsessions/ to your .gitignore.
Eleven MCP tools, in four groups:
| Group | Tools |
|---|---|
| Lifecycle | session_init · session_checkpoint · session_load · session_status |
| Recording | session_update |
| Searching | session_search · session_log · session_tree · session_diagram |
| Claims | claim_record · claim_check |
Plus six hooks (SessionStart, UserPromptSubmit, PreToolUse, PostToolUse, PreCompact, SessionEnd) that do the recording you never have to ask for.
Worth saying plainly, because it is the first thing people assume:
CogSession does not store your conversations. It reads the transcript only to measure how full the context window is. What it keeps is conclusions — decisions, dead ends, assumptions, claims — plus the mechanical events from the hooks. That is deliberate: a memory made of every word said is a memory nobody re-reads. But it does mean the quality of a session's memory depends on things being recorded as they are decided.
Start of every session: nothing. The SessionStart hook opens a session and loads the previous handoff on its own. Tracking that depends on someone remembering to turn it on is tracking that silently does not happen.
Name the session when you know what it is about — the focus line is the only part a tool cannot infer:
session_update(type="focus", content="auth module")
session_init still exists for a session you want to start deliberately, or to attach to a parent:
session_init(project_root="/your/project", focus="auth module")
session_load(project_root="/your/project") # load a previous handoff by hand
Throughout the session:
session_update(type="decision", content="Use python-jose for JWT", reasoning="Handles RS256 edge cases")
session_update(type="dead_end", content="Using httpx for auth", why_failed="Breaks streaming in /login", use_instead="Use requests library") session_update(type="assumption", content="users table has hashed_password column", risk_level="HIGH", how_to_verify="Run \\d users in psql") session_update(type="task_complete", content="Build /register endpoint") session_update(type="task_add", content="Build /refresh endpoint") session_update(type="danger_zone", content="Don't touch middleware.py — custom CORS order line 45") session_status(context_pct=67)
At 70-80% context:
session_checkpoint(context_pct=78, one_liner="Built JWT auth. Refresh token next.")
Look something up without loading anything. Every session keeps a session.md: append-only, one block per event, each header carrying its own local timestamp, event type, and the repo state it happened at (branch@commit+dirty). So one grep answers a question:
grep -n -A4 "dead_end" .cogsessions/<session>/session.md # what already failed
grep -n "2026-08-27 01:" .cogsessions/ /session.md # what happened that hour grep -n "main@a1b2c3d" .cogsessions/ /session.md # what happened at that commit
Every entry line is self-describing, which is what makes a bare grep useful: a match tells you when, what kind, and against which state of the code, with no need to scroll for context. Tool calls are deliberately left out — hundreds per session would bury the decisions someone is actually searching for; they stay in session_log.jsonl.
Scan history like `git log`:
session_log() # newest first, all sessions
session_log(type_filter="dead_end") # what has already failed here
when what repo session 2026-08-27 01:43:57 +0545 error master@3d4d1fd+2 sess_20260827_... 2026-08-27 01:43:57 +0545 dead_end master@3d4d1fd+1 sess_20260827_...
Scan, then grep the journal for the entry that matters. The commit id is the join back to real git log, so a decision can be lined up with the state of the code that produced it.
Claims — for anything you write down that could go stale:
claim_record(
claim="the composite key includes the tenant column", verified_by="grep -c 'UNIQUE (a, b, c)' migrations/007_schema.sql", expect="1", watches=["migrations/007_schema.sql"], asserted_in="PR description, line 26", ) claim_check() # re-runs the proofs whose files moved
A claim stores the *command that proved it*, not a note about how to check it. When the file changes, the next session is told which statements stopped being true, where they were asserted, and how they were checked.