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I 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…
Given the abundance of vaguely similar local-first AI memory layers, it might be a good idea to add a "Why Mnemo" section right at the top of README.md to explain why folks should consider using it.
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That's why I always ask: got benchmarks?
Yes — cargo run -p mnemo-bench. Ships with 12 benchmarks. Full retrieval pipeline is ~4ms on debug build. Numbers are in the README performance table.
For single bins or otherwise, brew is definitely preferred.
How does mnemo decides when to forget something? So old history wont pollute the new answers?
I 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?
Brew installation? Not looking to use pip or load manually. For single bins or otherwise, brew is definitely preferred.
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I haven't seen one unique product in AI, everyone is building the same thing
Fair. The differentiator is the Rust single binary + petgraph knowledge graph. No Python runtime, no cloud, survives restarts. Built it because nothing local fit that profile.
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Or just wait a week and whatever’s built into your harness de jour will be as good or better than whatever homebrew solutions are out there > Most LLMs forget everything the moment a conversation ends. mnemo fixes that Even the opening line of the README is obviously very out of date. Might be true if you’re raw-dogging a model or using a basic agent SDK
After working with LLMs a bunch, I now want them to forget everything every time I end the conversation. Otherwise they get dumber and more confused over time. LLMs do not have memory and these "memory" systems that everyone makes don't change that fact. They just clutter up context with probably irrelevant noise. I don't want the LLM to remember everything I've ever said and try to make every project align with ofte…