KYB - Shared Memory for AI Agents

KYB functions as a centralized knowledge base for various computational agents, providing a persistent and searchable memory store. Key capabilities include: * Git-backed storage for version history * Combined keyword and semantic search * Markdown-based content for readability * Incident tracking and task management * Self-hosted and open-source architecture This platform addresses the challenge of ephemeral memory in computational systems by offering a shared repository for operational knowledge. Agents can query KYB to retrieve information about system architecture, service configurations, past incidents, and unresolved tasks. This ensures that hard-won lessons and infrastructure details are preserved and accessible across sessions and different agent instances, preventing redundant discovery and improving operational efficiency. KYB is ideal for engineering teams and system administrators managing fleets of computational agents, particularly those involved in infrastructure management, incident response, and continuous operations. It provides a robust, attributable record of changes and events, fostering consistent decision-making and rapid problem resolution by keeping all agents aligned with the current state of knowledge. The command-line interface and Model Context Protocol (MCP) integration facilitate seamless interaction within diverse operational environments.