Viewing profile — SachitRafa
SachitRafa
HN member- Joined
- Mon, Mar 02, 2026, 11:45 AM UTC
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- 48 items
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About SachitRafa
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Recent public activity
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Comment #48441056
I agree to your point, in our current system we are not treating each memory as same. Based on the importance, category and recall frequency we decide a decay rate which would not …
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Comment #48441036
The final artifact will look like a flat scored memory graph, in which each node will be a memory having threshold between 0-1 which will be derived through various parameters such…
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Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem
This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the curre…
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Comment #48270349
Release link : https://github.com/sachitrafa/YourMemory/releases/tag/v1.4.2...
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Comment #48270336
Repo Link : https://github.com/sachitrafa/YourMemory
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Show HN: YourMemory, persistent memory layer with temporal reasoning for agents
It's an biological inspired decay system for our memories with extended support of temporal reasoning. Created a CLI command to infer knowledge from the context stored in memory sy…
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Comment #48098684
So based on the importance that it gives the reports individual will decide that which report will survive in the system. You can manually also identify and set the importance or c…
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Show HN: Fixing AI memory blind spot on connected facts with benchmark
Semantic search alone is not enough to capture all connected facts, they will capture the semantically most identical memory only. Tested on HotpotQA public dataset: Vector + BM25 …
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Comment #48073604
How would you know if the agent is not querying stale data here ?
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Comment #48073496
Would be definitely trying this, how do you check the rollback of API calls which would not be an part of a transaction?
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Comment #48005023
Sure will have a look !
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Comment #47951561
Hi All, Based on the feedback, have made few new enhancement. 1. Activity aware decay, now instead of a wall clock we run decay based on active days in which the user has been usin…
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Comment #47945523
Wall clock decay punishing vacation is a issue. The current state of a clock decay is for simplicity but I do see how a session based decay might be helpful. For failures and strat…
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Comment #47945306
Hi Builder here, biological is here doing the rhetorical work. The actual mechanism here is exponential decay with category specific half lives, recall based reinforcement and prun…
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Comment #47945224
Comingling unrelated projects is a fair argument for this. But the goal is here not to cater to specific project patterns but general standards you want to use across project. Usin…
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Comment #47944640
No it's not based on softmax output. It's single pass for now !
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Comment #47929564
Also if any of you are curious on how to set it up. You only need to execute these 2 commands pip install yourmemory yourmemory-setup
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Comment #47929511
Hi all builder here, quick update. Benchmarked it against LongMemEval dataset and got the result 84.8% for recall top 5 and 86.8% for nDCG any@5. All the methodology and results ar…
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Comment #47919432
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Comment #47919366
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Comment #47918265
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Comment #47918259
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