ctx-memory
ctx-memory
Memoria persistente para agentes de codificación LLM: Claude Code, Codex, Gemini CLI, OpenCode.
Cuando inicias una nueva sesión, el agente ya sabe en qué trabajaste la última vez: decisiones tomadas, archivos modificados, errores encontrados, convenciones aprendidas. Sin nube. Sin telemetría. Todo reside en una base de datos SQLite local en ~/.ctx-memory/store.db.
Cómo funciona
Session starts
│
Shell wrapper intercepts 'claude' (or codex/gemini/opencode)
│
MCP server starts alongside — injects prior context, exposes memory tools
│
During session: hooks fire on every tool call, messages buffered
│
Session ends (clean exit / Ctrl-C / crash)
│
Layer 1 → Layer 2 → Layer 3 pipeline runs
│
├── Layer 1: extract weighted messages, events, decisions, errors, keywords
├── Layer 2: compress to ≤500-token digest, store in DB
└── Layer 3: merge digest into project memory doc (markdown)
Next session: agent reads prior context automaticallyRelated MCP server: remem
Instalación
npm install -g ctx-memory
ctx-memory setupEl asistente de configuración:
Detecta qué herramientas están instaladas (
claude,codex,gemini,opencode)Pregunta cuáles integrar
Escribe configuraciones de hook para cada herramienta
Crea enlaces simbólicos de envoltorio en
~/.ctx-memory/bin/Añade
~/.ctx-memory/bina tu PATH a través de~/.bashrc/~/.zshrc
Reinicia tu shell (o ejecuta source ~/.bashrc), luego usa tus herramientas normalmente: la memoria es automática.
Comandos
ctx-memory setup # interactive setup wizard
ctx-memory status # show configuration and stats
ctx-memory projects list # list all projects
ctx-memory projects show <name> # print full memory doc for a project
ctx-memory projects forget <name> # reset memory (keeps sessions)
ctx-memory projects forget <name> --hard # delete all sessions + dataServidor MCP
El servidor MCP se ejecuta como un proceso secundario junto a cada sesión de herramienta y expone seis herramientas:
Herramienta | Descripción |
| Almacena un mensaje de conversación para procesarlo al finalizar la sesión |
| Registra un evento de llamada a herramienta (edición de archivo, comando bash, etc.) |
| Busca en sesiones pasadas por similitud semántica o palabras clave |
| Devuelve el documento completo de memoria del proyecto |
| Lista las sesiones recientes con objetivos y resultados |
| Finaliza una sesión y ejecuta la tubería de Capa 1 → Capa 2 → Capa 3 |
Para usar el servidor MCP de forma independiente con Claude Code, añade a ~/.claude/settings.json:
{
"mcpServers": {
"ctx-memory": {
"command": "node",
"args": ["/path/to/ctx-memory/dist/src/mcp/index.js"]
}
}
}Arquitectura
src/
cli/ — setup wizard, status, projects commands
db/ — SQLite schema + CRUD (projects, sessions, events, digests, memory)
layer1/ — pure message/event processing → weighted Layer1Output
layer2/ — digest compression to ≤500 tokens → Layer2Digest
layer3/ — merge digest into ProjectMemory markdown
mcp/ — MCP server (handlers + stdio entry point)
wrapper/ — shell wrapper (intercepts tool invocation, manages session lifecycle)
hooks/ — hook config writers for Claude / Gemini / OpenCodeRestricciones clave:
Todas las funciones de Capa 1/2/3 son puras: sin E/S, nunca lanzan errores
Los resúmenes se mantienen por debajo de 500 tokens
La búsqueda vectorial utiliza embeddings all-MiniLM-L6-v2 a través de
sqlite-vec(384 dimensiones)Base de datos SQLite única, modo WAL, claves foráneas activadas
Desarrollo
npm run build # tsc → dist/
npm run dev # tsc --watch
npm run test:run # vitest (single-shot, 476+ tests)
npm test # vitest (watch mode)La ruta de la base de datos es por defecto ~/.ctx-memory/store.db. Puedes sobrescribirla con CTX_MEMORY_DB_PATH.
Licencia
MIT
Available Tools
6 toolsend_sessionC
Signal session end — runs Layer 1→2→3 pipeline, stores digest, updates project memory.
Inputs: outcome (required), project_id (required), session_id (required), exit_code.
get_project_memoryC
Return the full project memory document (architecture, conventions, recent work, known issues).
Inputs: project_id.
list_sessionsC
List recent sessions for a project with their goals and outcomes.
Inputs: limit, project_id.
search_contextB
Search past sessions for context relevant to a query. Uses embedding similarity, falls back to keyword search.
Inputs: query (required), limit, project_id.
store_eventC
Record a tool call event (file edit, bash command, etc.) for the current session.
Inputs: tool (required), session_id (required), args, result, +1 more.
store_messageC
Buffer a conversation message for session-end processing.
Inputs: role (required), index (required), content (required), session_id (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: session lifecycle (end_session), memory retrieval (get_project_memory, list_sessions, search_context), and data recording (store_event, store_message). No overlap in functionality.
All tool names follow a consistent verb_noun pattern using snake_case, e.g., end_session, get_project_memory, store_event. The naming is predictable and uniform.
With 6 tools, the server covers core memory management operations without bloat. The count is well-scoped for the domain of session context and project memory.
The tool surface covers the full typical lifecycle: recording events/messages, searching and retrieving context, listing sessions, and finalizing sessions with memory updates. No obvious gaps.
Maintenance
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