3 ms·

You forgot BM25 embeddings. https://github.com/MikeS071/ai-engram https://github.com/MikeS071/ai-engram https://github.com/lamost423/openclaw-hybrid-memory ht

You forgot BM25 embeddings. https://github.com/MikeS071/ai-engram https://github.com/MikeS071/ai-engram https://github.com/lamost423/openclaw-hybrid-memory https://github.com/lamost423/openclaw-hybrid-memory https://medium.com/@qdrddr/agentic-memory-framework-hindsight-with-fts-bm25-hybrid-search-and-rabitq-ce8141a0323e https://medium.com/@qdrddr/agentic-memory-framework-hindsigh... https://clawhub.ai/vnesin-sarai/hybrid-retrieval https://clawhub.ai/vnesin-sarai/hybrid-retrieval https://www.josecasanova.com/blog/openclaw-qmd-memory https://www.josecasanova.com/blog/openclaw-qmd-memory https://medium.com/@richardhightower/stop-the-hallucinations-hybrid-retrieval-with-bm25-pgvector-embedding-rerank-llm-rubric-rerank-895d8f7c7242 https://medium.com/@richardhightower/stop-the-hallucinations... https://github.com/oomkapwn/enquire-mcp#-why-its-the-best https://github.com/oomkapwn/enquire-mcp#-why-its-the-best https://github.com/rohitg00/agentmemory#key-capabilities https://github.com/rohitg00/agentmemory#key-capabilities https://github.com/Melody-0321/NE-Memory-Core https://github.com/Melody-0321/NE-Memory-Core https://github.com/ClaudioDrews/memory-os https://github.com/ClaudioDrews/memory-os https://en.wikipedia.org/wiki/Okapi_BM25 https://en.wikipedia.org/wiki/Okapi_BM25 > It is based on the probabilistic retrieval framework developed in the 1970s and 1980s Anyway, good for ya, hope you had fun building it.

asdev 4mo ago
I haven't seen one unique product in AI, everyone is building the same thing
- andai 4mo ago
  Do any of them work properly yet?
  - fjwood69 4mo ago
    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 https://github.com/fjwood69/mori use it solo, use it in your homelab/office, use it in the cloud with a team..
    - zaydmulani 4mo ago
      Checked out mori — the governance layer for multi-agent writes is exactly the gap mnemo doesn't address yet. Good work on that.
      - fjwood69 4mo ago
        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.
      - fjwood69 4mo ago
        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.
- zaydmulani 4mo ago
  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.
  - fractorial 4mo ago
    I rolled the same thing in Go months ago as I am sure at least another 1000 people have in their own way.
    - zaydmulani 4mo ago
      Would genuinely be interested to see it. link? The graph traversal approach seems underexplored compared to pure vector search.
zaydmulani 4mo ago
BM25 is in my other project vecdb. mnemo's retrieval is graph-first — entity deduplication, multi-hop traversal, session-scoped scoring. Different tradeoff, not an oversight.
deleted 4mo ago
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asdev 4mo ago

I haven't seen one unique product in AI, everyone is building the same thing

andai 4mo ago
Do any of them work properly yet?
- fjwood69 4mo ago
  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 https://github.com/fjwood69/mori use it solo, use it in your homelab/office, use it in the cloud with a team..
  - zaydmulani 4mo ago
    Checked out mori — the governance layer for multi-agent writes is exactly the gap mnemo doesn't address yet. Good work on that.
    - fjwood69 4mo ago
      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.
    - fjwood69 4mo ago
      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.
zaydmulani 4mo ago
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.
- fractorial 4mo ago
  I rolled the same thing in Go months ago as I am sure at least another 1000 people have in their own way.
  - zaydmulani 4mo ago
    Would genuinely be interested to see it. link? The graph traversal approach seems underexplored compared to pure vector search.

zaydmulani 4mo ago

BM25 is in my other project vecdb. mnemo's retrieval is graph-first — entity deduplication, multi-hop traversal, session-scoped scoring. Different tradeoff, not an oversight.

deleted 4mo ago

[deleted]