by bobmatnyc · MCP Server · ★ 24
KuzuMemory Lightweight, embedded graph-based memory system for AI applications KuzuMemory provides fast, offline memory capabilities for chatbots and AI systems without requiring LLM calls. It uses pattern matching and local graph storage to remember and recall contextual information. ✨ Key Features 🧠 Cognitive Memory Model - Based on human memory psychology (SEMANTIC, PROCEDURAL, EPISODIC, etc.) 🚀 No LLM Dependencies - Operates using pattern matching and local NER only ⚡ Fast Performance - <3ms memory recall, <8ms memory generation (verified with Kuzu) 💾 Embedded Database - Single-file...
| Stars | 24 |
| Forks | 3 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 63.4925130021918/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-21 |
| Created | 2025-09-25 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~2492k |
Explore other popular mcp server tools:
kuzu-memory is Lightweight, embedded graph-based memory system for AI applications. Fast (<3ms recall), offline-first, with MCP server support for Claude and other AI tools.. It is categorized as a MCP Server with 24 GitHub stars.
kuzu-memory is primarily written in Python.
You can find installation instructions and usage details in the kuzu-memory GitHub repository at github.com/bobmatnyc/kuzu-memory. The project has 24 stars and 3 forks, indicating an active community.