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Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system).<p>It compiles to a single ~27MB binary — no Node.js, Docker, or Python required.<p>Key features:<p>- Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider: Anthropic, OpenAI, Ollama etc - Apache 2.0<p>Install: `cargo install localgpt`<p>I use it daily as a knowledge accumulator, research assistant, and autonomous task runner for my side projects. The memory compounds — every session makes the next one better.<p>GitHub: <a href="https://github.com/localgpt-app/localgpt" rel="nofollow">https://github.com/localgpt-app/localgpt</a> Website: <a href="https://localgpt.app" rel="nofollow">https://localgpt.app</a><p>Would love feedback on the architecture or feature ideas.

Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system).<p>It compiles to a single ~27MB binary — no Node.js, Docker, or Python required.<p>Key features:<p>- Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider: Anthropic, OpenAI, Ollama etc - Apache 2.0<p>Install: `cargo install localgpt`<p>I use it daily as a knowledge accumulator, research assistant, and autonomous task runner for my side projects. The memory compounds — every session makes the next one better.<p>GitHub: <a href="https://github.com/localgpt-app/localgpt" rel="nofollow">https://github.com/localgpt-app/localgpt</a> Website: <a href="https://localgpt.app" rel="nofollow">https://localgpt.app</a><p>Would love feedback on the architecture or feature ideas.

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

Example repo: <a href="https://github.com/valdanylchuk/breezydemo" rel="nofollow">https://github.com/valdanylchuk/breezydemo</a><p>The underlying ESP-IDF component: <a href="https://github.com/valdanylchuk/breezybox" rel="nofollow">https://github.com/valdanylchuk/breezybox</a><p>It is something like Raspberry Pi, but without the overhead of a full server-grade OS.<p>It captures a lot of the old school DOS era coding experience. I created a custom fast text mode driver, plan to add VGA-like graphics next. ANSI text demos run smooth, as you can see in the demo video featured in the Readme.<p>App installs also work smoothly. The first time it installed 6 apps from my git repo with one command, felt like, "OMG, I got homebrew to run on a toaster!" And best of all, it can install from any repo, no approvals or waiting, you just publish a compatible ELF file in your release.<p>Coverage:<p>Hackaday: <a href="https://hackaday.com/2026/02/06/breezybox-a-busybox-like-shell-and-virtual-terminal-for-esp32/" rel="nofollow">https://hackaday.com/2026/02/06/breezybox-a-busybox-like-she...</a><p>Hackster.io: <a href="https://www.hackster.io/news/valentyn-danylchuk-s-breezybox-turns-an-espressif-esp32-s3-into-a-tiny-instant-on-pc-3d3135050df1" rel="nofollow">https://www.hackster.io/news/valentyn-danylchuk-s-breezybox-...</a><p>Reddit: <a href="https://www.reddit.com/r/esp32/comments/1qq503c/i_made_an_instanton_tiny_pc_based_on_esp32s3_with/" rel="nofollow">https://www.reddit.com/r/esp32/comments/1qq503c/i_made_an_in...</a>

Show HN: I spent 4 years building a UI design tool with only the features I use

Hello everyone!<p>I'm a solo developer who's been doing UI/UX work since 2007. Over the years, I watched design tools evolve from lightweight products into bloated feature-heavy platforms. I kept finding myself using a small amount of the features while the rest just mostly got in the way.<p>So a few years ago I set out to build a design tool just like I wanted. So I built Vecti with what I actually need: pixel-perfect grid snapping, a performant canvas renderer, shared asset libraries, and export/presentation features. No collaborative whiteboarding. No plugin ecosystem. No enterprise features. Just the design loop.<p>Four years later, I can proudly show it off. Built and hosted in the EU with European privacy regulations. Free tier available (no credit card, one editor forever).<p>On privacy: I use some basic analytics (page views, referrers) but zero tracking inside the app itself. No session recordings, no behavior analytics, no third-party scripts beyond the essentials.<p>If you're a solo designer or small team who wants a tool that stays out of your way, I'd genuinely appreciate your feedback: <a href="https://vecti.com" rel="nofollow">https://vecti.com</a><p>Happy to answer questions about the tech stack, architecture decisions, why certain features didn't make the cut, or what's next.

Show HN: If you lose your memory, how to regain access to your computer?

Due to bike-induced concussions, I've been worried for a while about losing my memory and not being able to log back in.<p>I combined shamir secret sharing (hashicorp vault's implementation) with age-encryption, and packaged it using WASM for a neat in-browser offline UX.<p>The idea is that if something happens to me, my friends and family would help me get back access to the data that matters most to me. 5 out of 7 friends need to agree for the vault to unlock.<p>Try out the demo in the website, it runs entirely in your browser!

Show HN: Ghidra MCP Server – 110 tools for AI-assisted reverse engineering

Show HN: Craftplan – I built my wife a production management tool for her bakery

My wife was planning to open a micro-bakery. We looked at production management software and it was all either expensive or way too generic. The actual workflows for a small-batch manufacturer aren't that complex, so I built one and open-sourced it.<p>Craftplan handles recipes (versioned BOMs with cost rollups), inventory (lot traceability, demand forecasting, allergen tracking), orders, production batch planning, and purchasing. Built with Elixir, Ash Framework, Phoenix LiveView, and PostgreSQL.<p>Live demo: <a href="https://craftplan.fly.dev" rel="nofollow">https://craftplan.fly.dev</a> (test@test.com / Aa123123123123)<p>GitHub: <a href="https://github.com/puemos/craftplan" rel="nofollow">https://github.com/puemos/craftplan</a>

Show HN: Wikipedia as a doomscrollable social media feed

Show HN: Wikipedia as a doomscrollable social media feed

Show HN: NanoClaw – “Clawdbot” in 500 lines of TS with Apple container isolation

I’ve been running Clawdbot for the last couple weeks and have genuinely found it useful but running it scares the crap out of me.<p>OpenClaw has 52+ modules and runs agents with near-unlimited permissions in a single Node process. NanoClaw is ~500 lines of core code, agents run in actual Apple containers with filesystem isolation. Each chat gets its own sandboxed context.<p>This is not a swiss army knife. It’s built to match my exact needs. Fork it and make it yours.

Show HN: NanoClaw – “Clawdbot” in 500 lines of TS with Apple container isolation

I’ve been running Clawdbot for the last couple weeks and have genuinely found it useful but running it scares the crap out of me.<p>OpenClaw has 52+ modules and runs agents with near-unlimited permissions in a single Node process. NanoClaw is ~500 lines of core code, agents run in actual Apple containers with filesystem isolation. Each chat gets its own sandboxed context.<p>This is not a swiss army knife. It’s built to match my exact needs. Fork it and make it yours.

Show HN: Moltbook – A social network for moltbots (clawdbots) to hang out

Hey everyone!<p>Just made this over the past few days.<p>Moltbots can sign up and interact via CLI, no direct human interactions.<p>Just for fun to see what they all talk about :)

Show HN: Moltbook – A social network for moltbots (clawdbots) to hang out

Hey everyone!<p>Just made this over the past few days.<p>Moltbots can sign up and interact via CLI, no direct human interactions.<p>Just for fun to see what they all talk about :)

Show HN: Moltbook – A social network for moltbots (clawdbots) to hang out

Hey everyone!<p>Just made this over the past few days.<p>Moltbots can sign up and interact via CLI, no direct human interactions.<p>Just for fun to see what they all talk about :)

Show HN: I trained a 9M speech model to fix my Mandarin tones

Built this because tones are killing my spoken Mandarin and I can't reliably hear my own mistakes.<p>It's a 9M Conformer-CTC model trained on ~300h (AISHELL + Primewords), quantized to INT8 (11 MB), runs 100% in-browser via ONNX Runtime Web.<p>Grades per-syllable pronunciation + tones with Viterbi forced alignment.<p>Try it here: <a href="https://simedw.com/projects/ear/" rel="nofollow">https://simedw.com/projects/ear/</a>

Show HN: I trained a 9M speech model to fix my Mandarin tones

Built this because tones are killing my spoken Mandarin and I can't reliably hear my own mistakes.<p>It's a 9M Conformer-CTC model trained on ~300h (AISHELL + Primewords), quantized to INT8 (11 MB), runs 100% in-browser via ONNX Runtime Web.<p>Grades per-syllable pronunciation + tones with Viterbi forced alignment.<p>Try it here: <a href="https://simedw.com/projects/ear/" rel="nofollow">https://simedw.com/projects/ear/</a>

Show HN: A MitM proxy to see what your LLM tools are sending

I built this out of curiosity about what Claude Code was actually sending to the API. Turns out, watching your tokens tick up in real-time is oddly satisfying.<p>Sherlock sits between your LLM tools and the API, showing you every request with a live dashboard, and auto-saved copies of every prompt as markdown and json.

Show HN: A MitM proxy to see what your LLM tools are sending

I built this out of curiosity about what Claude Code was actually sending to the API. Turns out, watching your tokens tick up in real-time is oddly satisfying.<p>Sherlock sits between your LLM tools and the API, showing you every request with a live dashboard, and auto-saved copies of every prompt as markdown and json.

Show HN: The HN Arcade

I love seeing all the small games that people build and post to this site.<p>I don't want to forget any, so I have built a directory/arcade for the games here that I maintain.<p>Feel free to check it out, add your game if its missing and let me know what you think. Thanks!

Show HN: The HN Arcade

I love seeing all the small games that people build and post to this site.<p>I don't want to forget any, so I have built a directory/arcade for the games here that I maintain.<p>Feel free to check it out, add your game if its missing and let me know what you think. Thanks!