LLM Memory Notes
Provides persistent, searchable memory for AI coding agents, storing knowledge in containers and notes for meaning-based retrieval.
A semantic memory layer for AI coding agents, providing persistent, searchable project knowledge to accelerate development and ensure continuity. It targets developers and engineering teams using MCP-compatible agents, typically in small to mid-sized companies. The product is delivered as an MCP server, with memories as containers and notes as entries, enabling meaning-based search and reuse.
Key features
- Persistent memory for AI agents
- Searchable by meaning
- Memory containers for projects
- Notes for knowledge entries
- Shareable memories
- MCP server integration
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- Software developers
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