AI tools · agent memory system
Hippo AI agent memory
Recommended for modeling memory consolidation and decay for AI agents rather than a plain vector store. Critics question whether decay is needed.
Summarized from 11 comments.
Recommended for modeling memory consolidation and decay for AI agents rather than a plain vector store. Critics question whether decay is needed.
- recommend
- 8
- criticize
- 3
- months recommended
- 1 of 13
Why people love it
Consolidation and decay instead of vector dumping · 2
Really cool to see someone model memory consolidation and decay for agents rather than just dumping everything into a vector store.
Apr 2026 · commentyour consolidation and decay mechanics are close to what we want
Apr 2026 · comment
What people warn about
Decay may be unnecessary · 1
decay and consolidation feel like they're solving a problem the architecture mostly doesn't need to have
Apr 2026 · comment
What hackers pick instead
- EngrimOpen-source local memory engine for AI agents, built on SQLite, with local embeddings and no API key or external service needed. Critics note it is still limited by effective context size.21recommend
- MemPalacePeople recommend it as a locally managed memory layer for AI agents that retrieves past conversations well. Critics say independent end-to-end tests scored far below its retrieval benchmarks.9recommend
- GrovPeople recommend it for cutting exploration tokens and recalling past sessions for Claude Code. One user says it is rough around the edges, and it needs an API key.8recommend
- claude-memRecommended as an open-source Claude Code memory plugin that recalls past prompts and replies without many tokens. One caveat: it only records from install forward.8recommend
- LettaFree open-source agent framework with selective memory retrieval and long-context handling. Critics point to heavy dependencies and embedding API costs.8recommend
Every quote
The 10 most detailed of 11 comments. Each links to the original.
Really cool to see someone model memory consolidation and decay for agents rather than just dumping everything into a vector store.
Recommends · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
decay and consolidation feel like they're solving a problem the architecture mostly doesn't need to have
Mixed · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
your consolidation and decay mechanics are close to what we want
Recommends · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
Your importance-based eviction system can significantly reduce the size of the ephemeral session state
Recommends · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
Interesting approach storing raw samples as JSONB alongside typed summary columns
Recommends · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
Cool concept. Biologically inspired memory could help with long-term planning.
Recommends · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
lots of options on how you can best utilise it
Recommends · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
no open code plugin? This seems like something that should just run in the background.
Criticizes · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
I am skeptical that it applies to learning the commits of one code base.
Criticizes · Apr 2026 · in “Show HN: Hippo, biologically inspired memory for AI agents”
this seems woefully inadequate for password management
Criticizes · Apr 2026 · in “HIPPO Turns One Master Password into Many Without Storing Any”
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