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Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
41–49 of 49 posts
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#42You forgot BM25 embeddings. https://github.com/MikeS071/ai-engram https://github.com/lamost423/openclaw-hybrid-memory https://medium.com/@qdrddr/agentic-memory-framework-hindsigh... https://clawhub.ai/vnesin-sarai/hybrid-retrieval https://www.josecasanova.com/blog/openclaw-qmd-memory https://medium.com/@richardhightower/stop-the-hallucinations... https://github.com/oomkapwn/enquire-mcp#-why-its-the-best https://githu…
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Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#43Earlier quoted context omitted.
I haven't seen one unique product in AI, everyone is building the same thing
Do any of them work properly yet?
sure they do.. but it's painful
how to capture, what to capture, when to capture it.. where to put it.. how to make it 'useful'.. how to reinject it or make it accessible
the harness makers may well come up with better means than flat files, but there are loads of folks out there working across different harnesses and in teams, and there's very little that works in that respect.
why I built mori - https://github.com/fjwood69/mori
use it solo, use it in your homelab/office, use it in the cloud with a team..
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#44I tend to agree with the rest of the commenters that the most likely outcome is that harnesses will include features like this. I had a slightly different issue and that was 'project-level memory' that i can use across models or harnesses (chat, claude code, etc). for a while i used Obsidian but it was not very good with hosted tools like claude.ai then i moved to a combination of Linear and Notion. Still using Linea…
Yes, the multi-agent governance takes a lot of solving.. thus far I've gotten Hermes writing to the same memory store that Claude code, antigravity, cursor, etc can all contribute, pull from, but it's taken a whole separate layer of governance.
Agents that can write to shared memory are powerful. Agents that can write to shared memory without oversight are a liability. Mori has the governance layer - https://github.com/fjwood69/mori
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#45I think we are all experiencing more or less the same kind of pain regarding memory+llms, and love to see how different approaches exist this problem. How does mnemo decides when to forget something? So old history wont pollute the new answers?
Currently mnemo doesn't have automatic forgetting it's on the v0.2.0 roadmap. The mitigation right now is that retrieval scoring weights recency, so older chunks naturally rank lower than recent ones. A TTL system and explicit memory decay are the right long-term fix. Good callout.
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Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#46> and injects relevant context back into future prompts It looks like this is left as an exercise for the student?
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Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#47Earlier quoted context omitted.
Do any of them work properly yet?
sure they do.. but it's painful how to capture, what to capture, when to capture it.. where to put it.. how to make it 'useful'.. how to reinject it or make it accessible the harness makers may well come up with better means than flat files, but there are loads of folks out there working across different harnesses and in teams, and there's very little that works in that respect. why I built mori - https://github.com/…
Checked out mori — the governance layer for multi-agent
writes is exactly the gap mnemo doesn't address yet.
Good work on that.
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#48Earlier quoted context omitted.
sure they do.. but it's painful how to capture, what to capture, when to capture it.. where to put it.. how to make it 'useful'.. how to reinject it or make it accessible the harness makers may well come up with better means than flat files, but there are loads of folks out there working across different harnesses and in teams, and there's very little that works in that respect. why I built mori - https://github.com/…
Checked out mori — the governance layer for multi-agent writes is exactly the gap mnemo doesn't address yet. Good work on that.
Cheers — quite a bit more work going into that presently and extensive testing to back it up. Early finding: auto-extracted memory is no better than a hand-written doc. Human curation is the lever. Numbers at the top of the mori README.
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#49Earlier quoted context omitted.
sure they do.. but it's painful how to capture, what to capture, when to capture it.. where to put it.. how to make it 'useful'.. how to reinject it or make it accessible the harness makers may well come up with better means than flat files, but there are loads of folks out there working across different harnesses and in teams, and there's very little that works in that respect. why I built mori - https://github.com/…
Checked out mori — the governance layer for multi-agent writes is exactly the gap mnemo doesn't address yet. Good work on that.
Got a bit carried away with the governance aspect.. and after lots of testing, I've published a whitepaper which I think you will find interesting.
Link is in my profile.