io.github.kKEo/memors
Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
Serveur MCP · par kKEo
Aperçu
io.github.kKEo/memors est un serveur MCP publié par kKEo. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Le dernier changement enregistré date du 2026-10-11. Selon notre passage sur les places de marché du 2026-10-13.
Ce qu'il demande
- S'exécute sur votre machine
- Paramètres : 3
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
Pas de données pour une commande automatique : ce que déclarent ses places de marché ne dit pas sans ambiguïté comment le connecter.
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 | 1.6.2 | 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
- Official MCP Registry: dépôt ou paquet modifié
- Official MCP Registry: version 1.6.2 publiée (avant 1.6.1)
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.
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memory-find io.github.kKEo/memory-find
Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
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memkeeper io.github.teflon07/memkeeper
Local-first memory for AI agents: on-device hybrid retrieval over a single SQLite file.
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tdai-memory-mcp io.github.tinhien11/tdai-memory-mcp
Local-first MCP memory server for coding agents. No API key, no cloud. SQLite + FTS5 + sqlite-vec.
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memorymesh io.github.sparkvibe-io/memorymesh
Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.
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Local-first memory for AI agents: SQLite FTS5, deterministic recall, no vector DB, no cloud.
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Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.
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memtomem io.github.memtomem/memtomem
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
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Lightweight persistent memory for AI agents. Hybrid search. 16 tools. One SQLite file.
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memwright io.github.bolnet/memwright
Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
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mem0 io.github.mem0ai/mem0
Persistent memory for AI agents: add, search, update, and delete long-term memories.
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tdai-memory-mcp io.github.tinhien11/tdai-memory-mcp
Local-first MCP memory server for coding agents. No API key, no cloud. SQLite + FTS5 + sqlite-vec.
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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.
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