Shared Memory Storage for Multi-Agent Systems
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Updated
Jul 2, 2025 - Go
Shared Memory Storage for Multi-Agent Systems
The memory layer for AI-native development — giving AI persistent understanding of your software projects.
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain & CrewAI integrations.
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.
Unified memory layer for AI coding agents: incremental transcript sync, ranked search, archive/restore.
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.
smrti (स्मृति) — non-dual memory for structured knowledge elicitation
Smart memory system for AI agents with vector search, automatic extraction, and cross-device sync
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