Shared Memory Storage for Multi-Agent Systems

The memory layer for AI-native development — giving AI persistent understanding of your software projects.

Memory layer for AI agent orchestrators with adaptive forgetting, stronger retrieval.

SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems

🧠 Persistent memory for AI agents. SQLite for agent state. Zero cloud dependencies. Local embeddings. MCP-native integration with Claude Desktop/Code, Cursor, Windsurf & more.

Ultimate memory layer for local LLM's ~ mitigate limitations of Context Window.

AI co-pilot for complex forms. Instead of Ralph Wiggum loops, Lisa's journal: memory layer tracks answers, reasoning trails, and patterns across sessions.

Biologically Inspired Memory Management in AI: A Multi-Tiered Approach with Offline Consolidation

One memory layer for every AI chatbot. Save context once → use everywhere. Local-first, open source.

Smart memory system for AI agents with vector search, automatic extraction, and cross-device sync