io.github.n24q02m/mnemo
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
MCP-Server · von n24q02m
Überblick
io.github.n24q02m/mnemo ist ein MCP-Server von n24q02m. Marktplätze, die wir lesen und die es listen: 1 (Official MCP Registry). Wir haben es erstmals am 2026-10-11 gesehen und seither keine Änderung erfasst. Stand unseres Marktplatz-Durchlaufs vom 2026-10-11.
Was es abfragt
- Läuft auf Ihrem Rechner
- Geheimnisse: 1
- Einstellungen: 1
Was es deklariert, abfragt und ausführt, vollständig
Installieren Sie nur Plugins von Entwicklern, denen Sie vertrauen. Wir zeigen, was die Marktplätze veröffentlichen, und testen keine Plugins.
Verbinden
Keine Daten für einen automatischen Befehl: Die Angaben der Marktplätze sagen nicht eindeutig, wie man es verbindet.
Wo es veröffentlicht ist
| Marktplatz | Status | Version | Zahlen | Verifiziert | Erstmals gesehen |
|---|---|---|---|---|---|
| Official MCP Registry (Eintrag in der Registry öffnen) | Gelistet | 2.20.1 | Forks (GitHub): 7 Sterne (GitHub): 12 |
Nicht markiert |
Jede Zahl stammt vom jeweiligen Marktplatz und wird nie über Marktplätze hinweg addiert. Ein Marktplatz ohne veröffentlichte Zahl zeigt keine: keine Zahl ist nicht null.
Was sich geändert hat
Bei diesem Plugin hat sich nichts bewegt, seit wir es beobachten.
Ähnliche Plugins
Produkte, deren eigene Namen, Beschreibungen, Werkzeuge und Skills diesem der Bedeutung nach am nächsten sind, auf allen Marktplätzen, die wir lesen. Die Nähe ist nur innerhalb dieser Liste geordnet.
-
ai-memory io.github.alphaonedev/ai-memory
Persistent memory for any AI — zero token cost until recall
-
mem0 io.github.mem0ai/mem0
Persistent memory for AI agents: add, search, update, and delete long-term memories.
-
memra com.usememra/memra
Persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall, contradiction detection.
-
mcp-memory io.github.infoinlet-marketplace/mcp-memory
Persistent searchable memory for AI agents — save/get/search across sessions, tags.
-
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
-
memory io.github.sharedmemoryai/memory
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
-
Persistent memory for AI assistants with semantic search and knowledge graph relationships.
-
memtomem io.github.memtomem/memtomem
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
-
total-recall io.github.Avi-Bendetsky/total-recall
Persistent, verified, cross-session memory for AI agents. 26 tools. SQLite + sync.
-
memory com.leapmemory/memory
Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.
Ähnliche Plugins nach Marktplatz
Dieselbe Frage an jeden Marktplatz einzeln: Gibt es dort ein Gegenstück zu diesem Plugin?
Gelistet auf 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…
-
Persistent semantic memory for Claude Code. Stores knowledge in a local ChromaDB vector database and automatically retrieves relevant context on every message using Ollama bge-m3…
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
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…
Gelistet auf Claude Code: claude-plugins-official (5)
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
-
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.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
Gelistet auf 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…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
Gelistet auf Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
Gelistet auf 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.
-
Create and retrieve from a Foundry IQ knowledge base using File, Azure Blob, or ADLS Gen2, then connect an existing Prompt or Hosted Agent.
-
Shared session bus so Cursor can hand off with Claude, Codex, Grok, and friends.
Gelistet auf Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
Gelistet auf Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Gelistet auf 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.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
Gelistet auf Docker MCP Catalog (5)
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
Production-ready RAG service to search and retrieve data from your documents.
-
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.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
Gelistet auf Official MCP Registry (5)
-
ai-memory io.github.alphaonedev/ai-memory
Persistent memory for any AI — zero token cost until recall
-
mem0 io.github.mem0ai/mem0
Persistent memory for AI agents: add, search, update, and delete long-term memories.
-
memra com.usememra/memra
Persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall, contradiction detection.
-
mcp-memory io.github.infoinlet-marketplace/mcp-memory
Persistent searchable memory for AI agents — save/get/search across sessions, tags.
-
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
Nach Bedeutung gefunden, nicht über gemeinsamen Code oder ein gemeinsames Repository: Ähnliche Plugins bleiben getrennte Produkte, und dies ist weder eine Bewertung noch eine Empfehlung.
Ist das Ihr Plugin?
Weisen Sie nach, dass Sie das Plugin pflegen: mit einer Datei im Repository, einer Datei auf Ihrer Domain oder einem DNS-Eintrag. Sie erhalten Hinweise, wenn ein Marktplatz es aufnimmt, entfernt, das Verifiziert-Zeichen oder die angeforderten Angaben ändert, und können den Remote-Endpunkt als Webdienst überwachen lassen.
Daten von Official MCP Registry. Die Zahlen stammen aus unseren eigenen regelmäßigen Durchläufen über die Marktplätze, zuletzt abgerufen am . Kontaktdaten von Plugin-Herausgebern veröffentlichen wir nicht.