Show HN: Hippo, biologically inspired memory for AI agents

https://github.com/kitfunso/hippo-memory

GitHub - kitfunso/hippo-memory: Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.

Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies. - kitfunso/hippo-memory

GitHub

Cool project. I like the neuroscience analogy with decay and consolidation.

I've been working on a related problem from the other direction: Claude Code and Codex already persist full session transcripts, but there's no good way to search across them. So I built ccrider (https://github.com/neilberkman/ccrider). It indexes existing sessions into SQLite FTS5 and exposes an MCP server so agents can query their own conversation history without a separate memory layer. Basically treating it as a retrieval problem rather than a storage problem.

GitHub - neilberkman/ccrider: Search, browse, and resume your Claude Code sessions. Fast.

Search, browse, and resume your Claude Code sessions. Fast. - neilberkman/ccrider

GitHub