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silentsvn

HN member
Joined
Wed, Aug 14, 2013, 9:08 PM UTC
HN karma
2
Public activity
14 items

About silentsvn

https://cartisien.com

Recent public activity

  1. comment
    Comment #47353339

    Thanks for the response The determinism trade-off is genuinely interesting — auditability over fuzziness is a real design philosophy, not just a limitation. We've been building som…

  2. comment
    Comment #47351900

    The inspectability angle is genuinely useful, being able to trace exactly why something was retrieved is something vector search can't offer, and the tag-receipt approach is clean …

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    Comment #47349345

    The /compact trigger is a clean pattern — agent-initiated but human-confirmed. Makes the interface feel more like a review than an interruption. The retroactive feeding of recorded…

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    Comment #47349319

    Interesting approach with the hierarchy. I went the opposite direction with engram-mcp — flat structure, 5 tools, semantic search via Ollama (nomic-embed-text) with keyword fallbac…

  5. comment
    Comment #47344773

    > I’m sticking with humans for the moment Haha totally get this statement. The HitL fine-tuning angle is exactly right. The labeled dataset you're building (good/bad/stylistically-…

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  8. comment
    Comment #47334149

    Been saying this for a while. Vector similarity is the wrong primitive for agent memory. It finds things that sound related, not things that are actually relevant given current con…

  9. comment
    Comment #47334136

    Concurrent writes are the right problem to be solving. Most agent memory implementations assume a single writer and fall apart the second you have parallel tool calls or multi-agen…

  10. comment
    Comment #47334103

    You're right, and it's the part that keeps me up. We handle it with versioned writes — each memory has a createdAt, observedAt, and a validUntil that can be set explicitly or infer…

  11. comment
    Comment #47334098

    Human-driven compaction is interesting — you sidestep the "what's worth keeping" problem by putting a person in the loop. The tradeoff I've hit is that agents running autonomously …

  12. comment
    Comment #47334089

    The scoring layer sits between ingestion and storage. Incoming items get evaluated on a few axes: source reliability (did the agent observe this directly or was it told?), semantic…

  13. comment
    Comment #47328951

    One thing I've been wrestling with building persistent agents is memory quality. Most frameworks treat memory as a vector store — everything goes in, nothing gets resolved. Over ti…

  14. comment
    Comment #6214284

    This is coming from someone whose father just bought them their first Mac. Hmmmmm