Cerebrun – A unified memory for AI assistants (MCP and pgvector)

Show HN: Cerebrun – A unified memory for AI assistants (MCP and pgvector)

Cerebrun – A unified memory for AI assistants (MCP and pgvector) operates in show hn launch.

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Every AI conversation starts from scratch. I've been using OpenClaw, Windsurf, and Gemini interchangeably for months—but none of them aware what we discussed from each other. I have to tell them everything from beginning.So I built Cerebrun, an MCP server that acts as a persistent memory layer across all of them.What Cerebrun does:• Cross-conversation retrieval - Automatically finds relevant snippets from past threads and injects them into current context, even across different LLMs• 4-layer data model - Not all memories are equal. Layer 0 holds public preferences (coding style, favorite tools, language preference etc.). Layer 3 is an encrypted vault for sensitive data (API keys, credentials

Cerebrun – A unified memory for AI assistants (MCP and pgvector) is positioned in show hn launch, a segment that rewards a clear, focused offering.

Its current recorded stage is Show HN launch.

Website: cereb.run