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Show HN: Katra, self-hosted cognitive memory for AI agents (MCP)

Katra is a self-hosted cognitive memory server for AI agents, offering persistent memory, knowledge graph, and MCP integration for managing agent context and knowledge.

Background

- Katra is an open-source, self-hosted "cognitive memory" system for AI agents, designed to give them persistent, context-aware memory beyond a single chat session. It uses the Model Context Protocol (MCP), an emerging standard for connecting AI models to external tools and data. - Most large language models (LLMs) have no built-in long-term memory—each conversation starts fresh. Katra solves this by letting agents store and retrieve structured memories (facts, summaries, user preferences) across interactions. - "Self-hosted" means you run it on your own infrastructure, not via a cloud service, which matters for privacy, data control, and avoiding vendor lock-in. The project is by a solo developer (kolegadev) and is notable on Hacker News for tackling a core limitation of current AI agents in a practical, open-source way.

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