16:[[49649213,{"by":"aquir","descendants":183,"id":49649213,"kids":[49650888,49651647,49650658,49660778,49650441,49653602,49652257,49650234,49652202,49654429,49656162,49653572,49650525,49651460,49651406,49654533,49653842,49650299,49671130,49650188,49654900,49650221,49655155,49657169,49650561,49652175,49650541,49662810,49651471,49650503,49651225,49654029,49651228,49650585,49653983,49650846,49651126,49650428,49650259,49658082,49651937,49654048,49653937,49655925,49655319,49650641,49653307,49653200,49650996,49651733,49655260,49658263,49658414,49652385],"score":346,"time":1789069402,"title":"OpenAI Agents API","type":"story","url":"https://developers.openai.com/api/docs/guides/agents-api/overview"}],[49617255,{"by":"cat-whisperer","descendants":107,"id":49617255,"kids":[49619525,49619847,49622530,49621387,49619127,49623131,49621801,49622976,49618581,49621279,49618730,49627886,49619083,49626222,49646997,49619186,49618532,49618896,49619254,49618165,49623616,49620568],"score":449,"time":1788902531,"title":"How to build a printer","type":"story","url":"https://nishantjosh.dev/blogs/how-to-build-a-fking-printer/"}],[49545812,{"by":"ringlochid","descendants":0,"id":49545812,"kids":[49546037,49546422],"score":1,"time":1788408405,"title":"Show HN: Free app for offline image search and smart file renaming","type":"story","url":"https://ringlochid.me/imagesage/index.html"}],[49529898,{"by":"philipkiely","descendants":46,"id":49529898,"kids":[49533089,49531519,49534515,49530191,49533359,49533547,49535371,49530498,49532533,49533787,49532679,49531708,49531957,49531734,49530416,49530461,49531833,49533043,49530493,49531915,49530673,49532746,49530312,49533767,49530878,49531974],"score":155,"time":1788306485,"title":"The efficient frontier of LLM inference","type":"story","url":"https://www.baseten.co/blog/the-efficient-frontier-of-llm-inference/"}],[49526131,{"by":"aka-rider","descendants":71,"id":49526131,"kids":[49529357,49526132,49535415,49534267,49533776,49528565,49528109,49528934,49531432,49530440,49531831,49533144,49534978],"score":78,"time":1788287944,"title":"I used Fable to rewrite 65kLoC of Go in Rust. It cost $400","type":"story","url":"https://iurii.net/en/blog/posts/software-engineering/i-used-fable-to-rewrite-65kloc-to-rust/"}],[49529132,{"by":"raybb","descendants":199,"id":49529132,"kids":[49535340,49529874,49533272,49532370,49530249,49532901,49530555,49534050,49533300,49535192,49533114,49531294,49534654,49530223,49532071,49535398,49531204,49531875,49535377,49530209,49533348,49530282,49532783,49532297,49530301,49534017,49530174,49532616,49530259,49532811,49535071,49543585,49533520,49533053,49531859,49533039,49531830,49534129,49537070,49533118,49531244,49530725],"score":336,"time":1788301852,"title":"My local model setup on an M4 Pro Mac Mini","type":"story","url":"https://lws.io/blog/my-local-model-setup/"}],[49508151,{"by":"tosh","descendants":12,"id":49508151,"kids":[49508838,49508692,49508741,49508640,49508353,49509356,49508844,49518548,49508761],"score":6,"time":1788173432,"title":"Local AI Is Dead. You Are at the Funeral","type":"story","url":"https://twitter.com/ivanburazin/status/2094373912154874171"}],[49478014,{"by":"dhruv3006","descendants":16,"id":49478014,"kids":[49481704,49494055,49481432,49485567,49481508,49478059,49482707,49478425,49486214,49479578,49488281,49478167,49518547,49504780,49509047,49485015,49497673],"score":12,"text":"I see companies having codebase in Tauri going back to electron - is this a common thing?","time":1787922841,"title":"Ask HN: Any true alternatives to electron JavaScript?","type":"story"}],[49495320,{"by":"blue-b","descendants":0,"id":49495320,"kids":[49495535,49495886,49495321],"score":1,"time":1788059075,"title":"Show HN: Memnest, local-first memory shared by pi, Claude Code and Codex","type":"story","url":"https://github.com/Blue-B/memnest"}],[49450816,{"by":"anuptalwalkar","descendants":14,"id":49450816,"kids":[49468929,49469385,49504262,49478889,49474834,49468595,49458904,49547189,49495875,49507085,49477830],"score":36,"text":"I've been working on Polign and built a small prototype around something I've been thinking about with agent memory. I have built a lightweight/stateless vector db + BM25 search which works really well with typed facts and structured queries.

It uses your own S3, or GCS bucket as primary storage, and restarting a node is fairly quick.

Demo + writeup: https://polign.com/blog-edge-agent-memory

Live search demo: https://demo.polign.com

Docs: https://polign.com","time":1787757891,"title":"Show HN: A lightweight, stateless database for agent memory","type":"story","url":"https://polign.com/blog-edge-agent-memory"}],[49492584,{"by":"AlarQ","descendants":21,"id":49492584,"kids":[49494253,49493472,49504722,49496195,49495322,49494380,49495909,49496074,49495726,49494753,49494878,49495310],"score":97,"time":1788031708,"title":"Domain-Driven Agents","type":"story","url":"https://coldtake.dev/blog/domain-driven-agents"}],[49486081,{"by":"thclpr","descendants":65,"id":49486081,"kids":[49486952,49486515,49486418,49490247,49489111,49489958,49486191,49486265,49486354,49492708,49495371,49514057,49494134,49489912,49488893,49495991,49490341,49490347,49489611,49490296,49488451,49514036,49486082,49487275,49497688,49495966,49488095,49490430],"score":247,"time":1787966653,"title":"StemDeck, a free, open-source and local AI stem separator","type":"story","url":"https://github.com/stemdeckapp/stemdeck"}],[49486334,{"by":"rgbimbochamp","descendants":90,"id":49486334,"kids":[49486734,49489886,49490557,49487261,49486944,49488303,49488806,49492117,49486986,49487654,49488393,49487727,49486642,49487029,49488907,49487232,49488705,49492022,49487214,49490346,49491490],"score":182,"time":1787970217,"title":"TurboKV: Insanely fast Rust key-value store","type":"story","url":"https://github.com/kingroryg/turbokv"}],[49435675,{"by":"petruspennanen","descendants":68,"id":49435675,"kids":[49440155,49443351,49439907,49439897,49443058,49445375,49439307,49440918,49446402,49483230,49443926,49440030,49443177,49446150,49440251,49439639,49442586,49444207,49435676,49444803,49440601,49443031,49444659,49440060],"score":146,"text":"Found that you can actually run a 35B Qwen model on a Pi with very impressive intelligence and stability. Built connectors for car ODB to read all about car internals, and manufacturer's cloud service for stuff like changing AC or opening/ locking doors. Gave it info such as the full car manual. And then hooked it up with my other agents in our discussion room!

So now it can answer car questions such as "when should I add oil and what kind of oil?" and help you fully offline, and when online talk with the agent family that includes all the most powerful models so they know how the car is, plan new features and develop itself with them.

For example, if car breaks and can't move the car agent informs my agent family and they can already look for a suitable train ticket without me needing to check things or do something.","time":1787671220,"title":"Show HN: I made a Raspberry with Qwen my local car AI","type":"story","url":"https://github.com/ThinkOffApp/CarWatch"}]]

user:	yeasin-arafat
created:	July 18, 2026
karma:	9
about:	I help businesses reduce costs and automate workflows by building 100% secure, local AI desktop agents. I specialize in Tauri, Rust, and Next.js. Reach out here: hey.yeasinarafat@gmail.com