GitHub for AI Agent Memory

SenseLab empowers agents with continuous, versioned memory across sessions. Key capabilities include: * Persistent memory for agent sessions * Version control for agent knowledge * Shared memory spaces for team collaboration * Full provenance tracking of agent interactions * Compatibility with popular agent frameworks This platform solves the common issue of agents starting each new session without any memory of previous actions or discoveries. By connecting agents via MCP or SDK, they gain access to a 'brain' – a centralized, versioned repository of what they've learned. This means agents don't repeatedly solve the same problems, saving significant time and resources. Teams can create shared 'Rooms' where multiple users' agents read from and write to the same memory bank. This fosters collaboration by ensuring all agents are aware of each other's findings, decisions, and outcomes. The comprehensive provenance tracking provides a clear audit trail of who knew what and when, enhancing transparency and accountability within development workflows. SenseLab is ideal for development teams, solo developers, and researchers utilizing agent-based systems, especially those working with platforms like Claude Code, Cursor, CrewAI, LangGraph, and AutoGen. It transforms isolated agent efforts into a cohesive, collaborative knowledge-building process, akin to how developers use Git for code.