Provides AI coding agents with persistent, local memory and automatic context surfacing using semantic search.
Sponsored
SAME (Stateless Agent Memory Engine) transforms the way AI coding agents interact with information by equipping them with persistent, local memory. It addresses the 'zero-start' problem of AI sessions by intelligently surfacing relevant context through semantic search, learning from agent usage to boost future relevance, and automatically logging decisions and generating session handoffs. Operating entirely on your machine with local embeddings and SQLite, SAME ensures privacy and eliminates cloud dependencies, making AI agents significantly more effective and context-aware.
Key Features
010 GitHub stars
02Local and private memory for AI agents (zero cloud dependencies)
03Feedback loop that learns from agent usage to improve context relevance
04Automatic decision logging and session handoff generation
05Semantic search to surface relevant context automatically
06Integration with multiple AI tools and markdown vaults (Obsidian, Logseq)
Use Cases
01Automating decision logging and session summaries for AI-assisted development projects
02Managing and semantically searching personal or project-specific markdown notes for AI assistance
03Providing persistent, relevant context to AI coding agents across sessions
