io.github.Hustada/collective-memory
MCP server for persistent, semantic memory across AI sessions
Serveur MCP · par Hustada
Aperçu
io.github.Hustada/collective-memory est un serveur MCP publié par Hustada. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Nous l'avons vu pour la première fois le 2026-10-11 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-12.
Ce qu'il demande
- S'exécute sur votre machine
- Secrets : 1
- Paramètres : 1
Demande: OPENAI_API_KEY (secrète)
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En serveur MCP local : paquet npm
Construit à partir de ce que déclare Official MCP Registry.
claude mcp add --env "OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>" --transport stdio collective-memory -- npx -y collective-memory
[mcp_servers.collective-memory]
command = "npx"
args = ["-y", "collective-memory"]
[mcp_servers.collective-memory.env]
OPENAI_API_KEY = "<YOUR_OPENAI_API_KEY>"
{
"mcpServers": {
"collective-memory": {
"command": "npx",
"args": [
"-y",
"collective-memory"
],
"env": {
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
}
}
}
}
Remplacez les valeurs entre chevrons par les vôtres. Nous montrons les noms des paramètres, jamais de valeurs.
Nous ne gardons pas les arguments de lancement. Si le serveur en demande, sa propre documentation les donne.
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Official MCP Registry (Ouvrir la fiche du registre) | Référencé | 0.1.2 | Forks (GitHub): 0 Étoiles (GitHub): 0 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Ce qui a changé
Rien n'a bougé sur ce plugin depuis que nous le suivons.
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
mcp-external-memory io.github.daedalus/mcp-external-memory
An MCP server that gives LLMs persistent, searchable semantic memory
-
memdata io.github.thelabvenice/memdata
Persistent memory for AI agents. Store context, retrieve it semantically.
-
memori-mcp io.github.MemoriLabs/memori-mcp
Memori MCP server — persistent AI memory with recall and augmentation tools
-
hypermarrow-mcp io.github.qianqiuwanzi/hypermarrow-mcp
Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
-
genesys-memory io.github.Astrix-Labs/genesys-memory
Open-source causal memory for AI agents: persistent, explainable, MCP-native memory (13 tools).
-
Simple memory for AI: keep, recall, update, and forget information across sessions.
-
crbro-memory io.github.Octonove/crbro-memory
Persistent file-based memory for AI agents: inspectable, versionable, fully local.
-
memorykit io.github.rapozoantonio/memorykit
Cognitive memory for AI coding assistants — persistent memory across sessions
-
archetypal-ai io.github.archetypal-ai/archetypal-ai
Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.
-
core io.github.omega-memory/core
Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
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…
-
Persistent memory that survives across sessions. Hipocampus gives your agent a 3-tier memory system (hot/warm/cold) with a self-compressing 5-level compaction tree. Every session…
-
Persistent memory system for Claude Code - seamlessly preserve context across sessions
Référencé sur Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
Référencé sur Claude: knowledge-work-plugins (5)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
MCP server for terminal commands, file operations, and process management
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Granola MCP connects your meeting history to ChatGPT so your assistant can pull real context from past conversations while you work. Use MCP when you're already working on…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
Référencé sur Community GitHub marketplaces (5)
-
bettermemory io.github.0Mattias/bettermemory
Memory for coding agents, checked against the filesystem and git before it is believed.
-
4da-mcp-server io.github.4DA-Systems/4da-mcp-server
Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.
-
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.
-
touchdesigner-mcp-server io.github.8beeeaaat/touchdesigner-mcp-server
MCP server for TouchDesigner - Control and operate TouchDesigner projects through AI agents
Référencé sur 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.
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best…
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
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.
Référencé sur Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Capture, search, and organize notes and collections.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Référencé sur Docker MCP Catalog (5)
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
-
A unified MCP proxy that aggregates multiple MCP servers into one interface, enabling seamless tool discovery and management across all your AI interactions. Manage all your MCP…
Référencé sur Official MCP Registry (5)
-
mcp-external-memory io.github.daedalus/mcp-external-memory
An MCP server that gives LLMs persistent, searchable semantic memory
-
memdata io.github.thelabvenice/memdata
Persistent memory for AI agents. Store context, retrieve it semantically.
-
memori-mcp io.github.MemoriLabs/memori-mcp
Memori MCP server — persistent AI memory with recall and augmentation tools
-
hypermarrow-mcp io.github.qianqiuwanzi/hypermarrow-mcp
Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
-
genesys-memory io.github.Astrix-Labs/genesys-memory
Open-source causal memory for AI agents: persistent, explainable, MCP-native memory (13 tools).
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
C'est votre plugin ?
Ajoutez-le à vos projets et prouvez que vous le maintenez : un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS. Vous recevez des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Official MCP Registry. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.