Everybody builds one. And, then they usually figure out that making the model fill its context with a bunch of memories hurts performance more often than it helps.
That's why I always ask: got benchmarks?
Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
11–20 of 49 posts
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#12Given 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.
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Even the opening line of the README is obviously very out of date.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
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#13[flagged]
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#14Given 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.
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 mnemo fixes that Even the opening line of the README is obviously very out of date.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 often contradictory or unrelated facts, rules, guidelines, practices, whatever, because when it tries it gets messier and makes worse software.
I don't want the LLM to be my friend and remember my birthday. I have it write plans, developer docs, test suites, and static analysis into every project. That's the "memory". It's compatible with every agent, it's in their native tongue (Markdown and code), and it's focused on the specific project.
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#15Everybody builds one. And, then they usually figure out that making the model fill its context with a bunch of memories hurts performance more often than it helps.
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Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#16Given 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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Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#17Given 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.
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
[dead]
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#18Everybody builds one. And, then they usually figure out that making the model fill its context with a bunch of memories hurts performance more often than it helps.
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.
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#19Is there any relevance with another tool call mnemon?
Different project — mnemon is a Python-based memory tool.
mnemo is a Rust binary with a knowledge graph layer and
REST API sidecar. Similar name, different approach.
Re: Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)
#20I 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 Linear but Notion ended up being a royal pain: it is built for humans not agents. It is block based and when multiple agents use it there is a lot of corruption in the process.
I wanted a markdown only, notion built for agents that can work with multiple agents so built one: markbase.cloud
feel free to try and use it. i think it's useful