Zengram
Provides a shared memory system for multi-agent AI applications, enabling seamless knowledge retention and collaboration across diverse systems and machines.
Zengram solves the critical problem of AI agents operating in silos, where each agent maintains its own context and loses information between sessions. It establishes a robust, shared memory system that allows various AI agents, such as Claude Code, autonomous agents, and n8n workflows, to store, recall, and retrieve information efficiently across separate machines. Featuring typed memory, a dual-storage architecture (Qdrant for semantic search and SQL for structured queries), and multi-path search capabilities, Zengram ensures agents can access relevant knowledge, corroborate findings, receive cross-agent briefings, and continuously learn from a consolidated, intelligent memory pool.