io.github.Indhar01/memograph
Servidor MCP · Indhar01
- En tu equipo
io.github.Indhar01/memograph es un servidor MCP publicado por Indhar01. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-11.
Graph-based memory system for LLMs with knowledge graphs and semantic search.
- Marketplaces
- 1
- Dónde se ejecuta
- En tu equipo
memograph - Mayor cifra publicada
- 4 Estrellas (GitHub) · Official MCP Registry
- Visto por primera vez
- 2026-10-11
- Último cambio
- Ninguno registrado
- Marca de verificación
- Sin marca
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.4.0 | Forks (GitHub): 1 Estrellas (GitHub): 4 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué puede hacer
Se ejecuta en tu equipo: la herramienta de IA inicia este paquete de PyPI localmente: memograph
- Herramientas que declara
- No publicado
- Variables de entorno que pide
- 7 de ellas secretos: 2
Qué cambió
Nada ha cambiado en este plugin desde que lo seguimos.
El editor
Indhar01 · Repositorio: github.com/indhar01/memograph
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- cozo-memory io.github.tobs-code/cozo-memoryLocal-first memory system for AI agents with hybrid search and graph reasoning
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- shodh-memory io.github.varun29ankuS/shodh-memoryCognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
- memory-nexus-mcp io.github.KairosMobius/memory-nexus-mcpPersistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.
- memory-lean io.github.zamansheikh/memory-leanToken-lean memory for AI agents: a knowledge graph searched cheaply. Drop-in for server-memory.
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Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
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