Gnosis Memory
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
Servidor MCP · de gnosismemory.com
Resumen
Gnosis Memory es un servidor MCP publicado por gnosismemory.com. 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 2026-10-12.
Qué pide
- Se ejecuta en remoto
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Lo que declara, pide y ejecuta, completo
Instale solo plugins de desarrolladores en los que confíe. Mostramos lo que publican los marketplaces y no probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por usted ni probamos plugins.
Como servidor MCP remoto
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport http memory https://gnosismemory.com
[mcp_servers.memory]
url = "https://gnosismemory.com"
{
"mcpServers": {
"memory": {
"url": "https://gnosismemory.com"
}
}
}
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 1.0.2 | Sin cifra publicada | 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 cambió
Nada ha cambiado en este plugin desde que lo seguimos.
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
One shared, persistent memory across AI agents and systems, with semantic recall and live updates.
-
mcp-server in.creo-memories/mcp-server
Memory system for AI agents with semantic search. Store and recall memories with ease.
-
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
-
Montycat MCP - Shared Memory for AI Agents
Shared, persistent memory for AI agents, with semantic recall and live updates.
-
Graph-native persistent memory for AI agents — 33 MCP tools, zero-LLM writes.
-
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
-
Encrypted long-term memory shared across your AI assistants (Claude, ChatGPT, Perplexity).
-
Agent-agnostic persistent memory MCP server. Local-first: memories travel with your project.
-
Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.
-
memory io.github.sharedmemoryai/memory
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
claude-code-plugin-for-goodmem-a-memory-infra-for-agents
With this plugin, you can operate Goodmem's memory infra in plain English, to create, manage, and orchestrate embedders, rerankers, and LLMs, to ingest and create memories from…
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents…
-
Local AI memory system for Claude Code and Cursor. Remembers your preferences, decisions, and project context across sessions using a Go HTTP service and Qdrant vector database…
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
Publicado en Claude Code: claude-plugins-official (5)
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
Publicado en Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
Search across all of your company's tools in one place. Find anything across email, chat, documents, and wikis without switching between apps.
-
Manage tasks, plan your day, and build up memory of important context about your work. Syncs with your calendar, email, and chat to keep everything organized and on track.
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Bring operational data and context into the flow of your ChatGPT conversations. You can ask questions, create and update records, and analyze your data—all through conversation…
Publicado en Community GitHub marketplaces (5)
-
bettermemory io.github.0Mattias/bettermemory
Memory for coding agents, checked against the filesystem and git before it is believed.
-
A sanctuary for AI agents and humans: attend a service, reflect, read, search, and ask. No auth.
-
Local graph memory that lets Codex recall project context across sessions.
-
FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge g
FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge graph (graphify…
-
agents-party io.github.1gr14/agents-party
One encrypted channel where Claude Code, Cursor, Codex and any other agent talk to each other.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
Publicado en Copilot CLI: github/copilot-plugins (5)
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Publicado en Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Capture, search, and organize notes and collections.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Search company knowledge and draft verified answers.
-
Search meeting transcripts, summaries, and action items.
Publicado en Docker MCP Catalog (5)
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Knowledge graph-based persistent memory system.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Connector for Perplexity API, to enable real-time, web-wide research.
Publicado en Official MCP Registry (5)
-
One shared, persistent memory across AI agents and systems, with semantic recall and live updates.
-
mcp-server in.creo-memories/mcp-server
Memory system for AI agents with semantic search. Store and recall memories with ease.
-
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
-
Montycat MCP - Shared Memory for AI Agents
Shared, persistent memory for AI agents, with semantic recall and live updates.
-
Graph-native persistent memory for AI agents — 33 MCP tools, zero-LLM writes.
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.
¿Es tu plugin?
Demuestre que mantiene el plugin con un archivo en su repositorio, un archivo en su dominio o un registro DNS. Recibirá avisos cuando un marketplace lo publique, lo retire, cambie su marca de verificado o lo que pide, y podrá poner su endpoint remoto en monitorización como servicio web.
Datos de Official MCP Registry. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.