Hacker News

Article URL: https://BREP.io

Comments URL: https://news.ycombinator.com/item?id=47071004

Points: 1

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Article URL: https://p2r3.github.io/convert/

Comments URL: https://news.ycombinator.com/item?id=47071002

Points: 1

# Comments: 0

I built Kore because every AI memory tool I found either required cloud APIs, was too heavy, or stored everything forever with no pruning.

Kore is different: - Memory decay based on the Ebbinghaus forgetting curve — memories fade unless retrieved, with half-life based on importance (7 days for casual notes, 1 year for critical info) - Auto-importance scoring locally — no LLM call needed - Semantic search in 50+ languages — local sentence-transformers, zero API calls - Memory compression — auto-merges similar memories - Agent namespace isolation — multi-agent safe - Runs fully offline — SQLite + FTS5, FastAPI, no external services

pip install kore-memory[semantic] then kore to start.

Would love feedback on the decay formula and whether the Ebbinghaus approach makes sense for long-running agents.

Comments URL: https://news.ycombinator.com/item?id=47070979

Points: 1

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Article URL: https://archive.org/details/psychologyofcomp00unse

Comments URL: https://news.ycombinator.com/item?id=47070946

Points: 1

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Article URL: https://www.nytimes.com/2026/02/18/opinion/corruption-trump-accountability.html

Comments URL: https://news.ycombinator.com/item?id=47070944

Points: 1

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Article URL: https://github.com/Artifact-Virtual/social-cookie-jar

Comments URL: https://news.ycombinator.com/item?id=47070935

Points: 1

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Article URL: https://agentdaddie.com

Comments URL: https://news.ycombinator.com/item?id=47070924

Points: 1

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Article URL: https://adri0.com/blog/strenuous-journey-to-a-usable-data-science-model

Comments URL: https://news.ycombinator.com/item?id=47070906

Points: 1

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Article URL: https://github.com/ayjays132/phill-cli

Comments URL: https://news.ycombinator.com/item?id=47070895

Points: 1

# Comments: 2

Hey HN, your app is blind to most user context: Google sees search/email, Instagram the social graph, ChatGPT sees conversations—but no single unified view of a user and their preferences exists.

We're releasing the Onairos SDK to fix that: a lightweight API for devs to access consented, cross-platform behavioral history in one call, powering per-user AI models for apps like wellness or dating.

Key features: - Setup in under 10 mins, so your app can be 100x more personalized today - Instant cross-platform user preferences/context (e.g., from ChatGPT, Grok, Youtube, Gmail and more. Pretty much any valuable user data source) - Superior user profiles, which beat nearly all LLMs at sentiment analysis - More signal than any single platform, even big tech companies

We know OpenAI, Google etc launch products that kill startups every week. They have superior data, bigger resources and talent. The only way to beat them is with vertical hedges, superior UX or superior data. I would love to help you with the latter yesterday.

Docs & quick setup: https://docs.onairos.io Learn more: https://onairos.io

Comments URL: https://news.ycombinator.com/item?id=47070890

Points: 1

# Comments: 0

Article URL: https://www.sciencenews.org/article/ai-enabled-science-discovery-insight

Comments URL: https://news.ycombinator.com/item?id=47070883

Points: 1

# Comments: 0

We’re a small team from Denmark building EasyCheck (https://easycheck.dk/en).

We’re building EasyCheck to turn compliance, checklists and tasks into a simple, structured workflow instead of a manual coordination problem.

With EasyCheck you can: - Define recurring checks and compliance tasks (daily/weekly/monthly/etc.)

- Automate reminders and assign responsibility

- Collect evidence and keep a complete audit trail

- Standardize processes instead of managing them in spreadsheets

We’re still early and would love feedback from the HN crowd: - Does this solve anything, you've seen (or lived)?

- What integrations or automations would make this useful? (Slack, Google Workspace, APIs, etc.)

- How do you think about the trade-off between simplicity and flexibility in internal tools?

- If you’ve built something similar internally, what worked or failed?

Happy to answer any questions about the product, architecture, or what we’ve learned building it.

// Marcus & the team

Comments URL: https://news.ycombinator.com/item?id=47070873

Points: 1

# Comments: 0

Article URL: https://github.com/obselate/PoSHBlox

Comments URL: https://news.ycombinator.com/item?id=47070865

Points: 2

# Comments: 0

Article URL: https://inessential.com/2026/02/18/why-not-objective-c.html

Comments URL: https://news.ycombinator.com/item?id=47070863

Points: 1

# Comments: 1

Article URL: https://theconversation.com/tahoe-avalanche-what-causes-snow-slopes-to-collapse-a-physicist-and-skier-explains-with-tips-for-surviving-276361

Comments URL: https://news.ycombinator.com/item?id=47070424

Points: 1

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Article URL: https://www.youtube.com/watch?v=ejPqAJ0dHwY

Comments URL: https://news.ycombinator.com/item?id=47070397

Points: 1

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Article URL: https://wingolog.org/archives/2026/02/18/two-mechanisms-for-dynamic-type-checks

Comments URL: https://news.ycombinator.com/item?id=47070382

Points: 1

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Article URL: https://www.saylecycle.de/en-en

Comments URL: https://news.ycombinator.com/item?id=47070378

Points: 1

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Article URL: https://investment-calculator.net/portfolio-rebalancing-calculator/

Comments URL: https://news.ycombinator.com/item?id=47070376

Points: 1

# Comments: 1

currently i work on place where i am dealing with Hardware Security Module (HSM), certificates, openSSL, JCE, algorithm like DES, 3DES, AES, RSA, HMAC, etc...

i want to learn more detail about all of them, so i know how it works.

Thanks

Comments URL: https://news.ycombinator.com/item?id=47070370

Points: 1

# Comments: 0