Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
WindowsMacOS
Knowledge Management · Developer Tools
amem_mcp
nixlim/amem_mcp
Zetmem is an AI-assisted memory server project based on the Zettelkasten method, designed to provide a persistent contextual memory system for AI programming tools such as Claude, supporting code memory storage, retrieval and intelligent evolution across sessions and projects.
Install
See repository
Setup steps are in the repository README.
- Author
- @nixlim
- Category
- Knowledge Management, Developer Tools
- License
- MIT
- Updated
- Oct 6, 2026
About amem_mcp
Name of the project has been changed to zetmem and it can be found here: https://github.com/nixlim/zetmem
This is an experiment in AI Assisted Software Engineering. A human wrote [NONE] of the code directly (not yet, anyway). USE AT OWN RISK:)
Features
Memory Creation: Store code snippets with AI-generated keywords, tags, and embeddings
Memory Retrieval: Vector similarity search with ranking and filtering
Memory Evolution: AI-driven analysis to update and optimize memory networks
MCP Integration: JSON-RPC 2.0 server compatible with Claude Code
Real Embeddings: Sentence-transformers and OpenAI embedding services
Intelligent Evolution: Automated memory network optimization
Prompt Engineering: Template-based LLM prompt management
Monitoring & Metrics: Comprehensive Prometheus observability
Task Scheduling: Cron-based automated maintenance
Multi-LLM Support: LiteLLM proxy for fallback and model flexibility
Tools (3)
store_coding_memory
Store a coding memory with AI analysis.
retrieve_relevant_memories
Search for relevant memories using vector similarity.
evolve_memory_network
Trigger memory network evolution (Phase 2 feature).
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.