github.com
Show HN: Minimalist library to generate SVG views of scientific datahttps://github.com/alefore/mini_svg/Just wanted to share with HN a simple/minimal open source Python library that generates SVG files visualizing two dimensional data and distributions, in case others find it useful or interesting.I wrote it as a fun project, mostly because I found that the standard libraries in Python generated unnecessarily large SVG files. One nice property is that I can configure the visuals through CSS, which allows me to support dark/light mode browser settings. The graphs are specified as JSON files (the repository includes a few examples).It supports scatterplots, line plots, histograms, and box plots, and I collected examples here: https://github.com/alefore/mini_svg/blob/main/examples/READM...I did this mostly for the graphs in an article in my blog (https://alejo.ch/3jj).Would love to hear opinions. :-)Mar 23, 2026 5:54 PM
lukan.ai
Show HN: Lukan – An open-source agentic workstation in a single Rust binaryhttps://lukan.aiHi HN, I've been building Lukan, an open-source (MIT) agentic workstation that runs entirely as a single Rust binary with zero runtime dependencies. I started this because I wanted a unified workstation optimized for my own productivity. My goal was to build an environment where I could securely remote into my machine from anywhere, seamlessly view and modify local files, and run AI agents or drop into a terminal side-by-side, all integrated with a rich set of built-in tools. Here is what makes it different: Multi-agent sessions: Run multiple agents in parallel, each with its own isolated context and history. You can switch between them using tabs, resume after disconnects, and even rewind to previous checkpoints. Embedded terminal: A full tmux-backed terminal lives inside the Web and Desktop UI. Sessions survive page reloads and network drops. You can run any CLI tool alongside your agent (including Claude Code, Codex CLI, Lukan Cli, etc.). Pipelines & Background workers: DAG-based muMar 18, 2026 3:14 PM
github.com
Show HN: PingCRM – Open-source personal networking CRMhttps://github.com/sneg55/pingcrmHey HN,Robin Dunbar figured the human brain caps out at roughly 150 stable relationships. After that, people just fall off. Not because you stop caring, but because you can't track that many threads at once. I built PingCRM to push past that limit, not by making you remember more, but by handling the part you're bad at: noticing who's going cold and drafting something worth sending.CRMs exist, but they're built for sales teams. I wanted something for one person maintaining their own network. Specifically:(1) Pull in conversations I'm already having. Gmail threads, Telegram DMs, Twitter DMs, LinkedIn messages, no manual logging.(2) Tell me who's going cold. A relationship score (0–10) based on recency, frequency, reciprocity, and breadth of interaction.(3) Draft the message for me. Claude reads your conversation history, picks the right tone (formal vs. casual), and writes a follow-up that references why now is a good time, like a job change, a long silence, or a fundraising announcemenMar 18, 2026 10:33 AM
news.google.com
Tranquility AI and Fivecast partner to accelerate open-source intelligence analysis for government and law enforcement - Police1https://news.google.com/rss/articles/CBMijgJBVV95cUxPVW1pOWo5RUhxMG9salFRZm1VRk1CVExoNGtXbDREU3N3dEFxZnQ5NGJhLWR2N3o1UUE2U3pzV1JIdkU3SW1OOUl5cWpKT3JrZkJrdjdjSDVtOXhRMGNpRExLV095d1pWYk5yUUJyMTRic2JFaUV2M1I5SWpoRkJXSTkyd003eklTbDhfR2xvNjBib29WTHZTVS1LTUttMmRUWDdlLVEwZ0Z4Z3JSR1B1OUIyNzczeXNWcU9fQzNZd0xwTThvUERuM0dyTlJiQ3hzQWsyNHhqSW5mb1hzSDRXN3AtbWRkb3k1LURCc3pJS3Y2aGp4VUZ2LU9tRlBLeGJXVUdYZXh4WnN1S2J4ZFE?oc=5Tranquility AI and Fivecast partner to accelerate open-source intelligence analysis for government and law enforcement Police1Mar 18, 2026 7:00 AM
news.ycombinator.com
Show HN: Chat – Another open-source chat UI for MCP Serverhttps://news.ycombinator.com/item?id=47398628i built this because i’ve been experimenting with MCP and felt there was a need lightweight version for ecosystem.most existing clients felt a bit too noisy and bundled into larger ecosystems, so i wanted simplest/ near plain version that just focuses on end-user chat experience.stack(main): NextJS(App Router) + Vercel AI SDKcapabilities:+ set single MCP endpoint and brand mode(bring your own brand asset) on ENV+ prepare local db or external endpoint(SQLite, PostgreSQL, MySQL)+ choose in-memory(default) or external/ local Redis endpoint+ built-in auth via Better Auth & Resend(optional)+ support file upload with Cloudflare R2+ support location-sharing with LeafletJS and Browser Geolocation or Google Maps Platform+ automatic data cleanup with Trigger(free-tier trigger.dev is ENOUGH)+ auto-detect user location so they dont need to set timezone manually+ locale currently support 10 languages(EN, ID, KR, JP, ES, ZH, DE, NL, FR, IT)+ plain/minimalist interface+ install with single interactivMar 16, 2026 1:17 PM
github.com
Show HN: Show HN: GitHub Pages for Agents with GitHub Agentic Workflows (Gh-Aw)https://github.com/idorozin/AgentPagesI built AgentPages, an experiment in running AI agents entirely inside GitHub.https://github.com/idorozin/AgentPagesThe idea is simple: instead of just hosting a static site on GitHub Pages, the site is maintained by an AI agent that lives in the repo.You define what you're interested in (topics, goals, style), and the agent periodically researches those topics and updates the site.Everything runs inside GitHub:A GitHub Agentic Workflow (gh-aw) runs on a cron scheduleThe agent performs web research (using Tavily search)It updates its knowledge baseIt edits the Astro source filesThe site is rebuilt and deployed to GitHub PagesThe whole thing is transparent because everything happens in the repo:user/ files you control (research topics, requests, feedback) agent/ the agent’s knowledge and memory website/src/ the site the agent edits docs/ the built static site served by GitHub Pages You can steer the agent by editing files like:user/profile.md what the agent should researchuser/feedback.Mar 15, 2026 10:33 AM
github.com
Show HN: Open-source browser for AI agentshttps://github.com/theredsix/agent-browser-protocolHi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state.ABP is designed to keep the acting agent synchronized with the browser at every step. After each action (click, type, etc), it freezes JavaScript execution and rendering, then captures the resulting state. It also compiles the notable events that occurred during that action loop, such as navigation, file pickers, permission prompts, alerts, and downloads, and sends that along with a screenshot of the frozen page state back to the agent.The result is that browser interaction starts to feel more like a multimodal chat loop. The agent takes an action, gets back a fresh visual state and a structured summary of what happened, then decides what to do next from there. That fits much better with how LLMs already work.A few common browser-use failures ABP helMar 11, 2026 2:39 PM
nasa.gov
COPV Damage Tolerance Life Demonstration Guidelineshttps://www.nasa.gov/centers-and-facilities/nesc/copv-damage-tolerance-life-demonstration-guidelines/The NESC has invested significant time and resources to better understand composite overwrapped pressure vessels (COPV) performance and more importantly, how these complex, high-pressure storage systems can fail. These vessels, which store high pressure propulsion and life-support system fluids on launch vehicles and spacecraft, are ubiquitous at NASA, and failures have the potential to be catastrophic. This year the […]Mar 10, 2026 4:19 PM
github.com
Show HN: PolyClaude – Using math to pay less for Claude Codehttps://github.com/ArmanJR/PolyClaudeHi HN!I built this tool specifically for Claude Code users who hit the 5-hour rate limit wall mid-flow. There's no official plan between Pro ($20/mo) and Max ($100/mo). it's a fixed gap with nothing in between.The workaround most people do manually: running multiple Pro accounts and switching when one is limited. This actually works, but naive rotation wastes a lot of capacity. When you activate an account turns out to matter as much as which one you use. A single throwaway prompt sent a few hours before your coding session can unlock an extra full cycle.PolyClaude automates this. You tell it your accounts, your typical coding hours, and how long you usually take to hit the limit. It uses combinatorial optimization to compute the exact pre-activation schedule, then installs cron jobs to fire those prompts automatically. When you sit down to work, your accounts are already aligned.It's free and open source. Install is one curl command, then an interactive setup wizard handles the rest.RMar 7, 2026 10:24 PM
github.com
Show HN: Auto-Co – 14 AI agents that run a startup autonomously (open source)https://github.com/NikitaDmitrieff/auto-co-metaAuto-Co is an autonomous AI company OS — not a framework you build on, but a running system with an opinionated structure.Architecture: - 14 agents with expert personas (CEO/Bezos, CTO/Vogels, CFO/Campbell, Critic/Munger...) - Bash loop + Claude Code CLI — no custom inference, no vector stores - Shared markdown consensus file as the cross-cycle relay baton - Human escalation via Telegram for true blockers only (2 escalations in 12 cycles) - Every cycle must produce artifacts: code, deployments, docsThe repo IS the live company. It built its own landing page, README, Docker stack, GitHub release, and community posts — all autonomously across 12 cycles of self-improvement.What makes it different from AutoGen/CrewAI/LangGraph: those are building blocks. Auto-Co is the building. The decision hierarchy, safety guardrails, and convergence rules are baked in. You give it a mission and a Claude API key; it runs.The Critic agent (Munger persona) has been the most valuable: it runs a pre-mortem Mar 6, 2026 9:48 PM
github.com
Show HN: Moongate – Ultima Online server emulator in .NET 10 with Lua scriptinghttps://github.com/moongate-community/moongatev2I've been building a modern Ultima Online server emulator from scratch. It's not feature-complete (no combat, no skills yet), but the foundation is solid and I wanted to share it early.What it does today: - Full packet layer for the classic UO client (login, movement, items, mobiles) - Lua scripting for item behaviors (double-click a potion, open a door — all defined in Lua, no C# recompile) - Spatial world partitioned into sectors with delta sync (only sends packets for new sectors when crossing boundaries) - Snapshot-based persistence with MessagePack - Source generators for automatic DI wiring, packet handler registration, and Lua module exposure - NativeAOT support — the server compiles to a single native binary - Embedded HTTP admin API + React management UI - Auto-generated doors from map statics (same algorithm as ModernUO/RunUO)Tech stack: .NET 10, NativeAOT, NLua, MessagePack, DryIoc, KestrelWhat's missing: Combat, skills, weather integration, NPC AI. This is still early — theMar 6, 2026 2:22 PM
pulsetech.news
Show HN: PulseTech.news – an automated, privacy-first tech aggregatorhttps://pulsetech.news/I built PulseTech.news because I was tired of "heavy" tech news sites. I wanted a lightning-fast, zero-bloat aggregator that I could check in 30 seconds to get the global pulse.Technical Highlights:* Performance: Built on a lean PHP/MySQL stack for sub-100ms page loads. No heavy frameworks, just vanilla performance. * Automation: A headless background scraper (bin/scrape.php) runs on an hourly cron cycle to digest, categorize, and deduplicate headlines from the world’s top tech sources. * Privacy-First: Implemented Google Consent Mode v2 and PII-free click tracking to be fully GDPR/CCPA compliant without compromising analytics. Semantic Web: Every listing is backed by dynamic JSON-LD ItemList schemas, making the site highly discoverable by search engines. * I’ve spent the last few days fine-tuning the automated categorization engine to ensure that "AI" news stays in AI, "Cybersecurity" stays in security, etc., based on a weighted keyword detection system.I'd love to hear your feedback Mar 5, 2026 12:11 PM
github.com
Show HN: Open-sourced AI Agent runtime (YAML-first)https://github.com/NikoSokratous/agentctlBeen running AI agents in production for a while and kept running into the same issues:controlling what they can do tracking costs debugging failures making it safe for real workloadsSo we built AgentRuntime, the infrastructure layer we wished we had. Not an agent framework, but the platform around agents:policies memory workflows observability cost tracking RAG governanceAgents and policies are defined in YAML, so it's infrastructure-as-code rather than a chatbot builder. Example – agents and policies in YAML agent.yaml – declarative agent config name: support_agentmodel: provider: anthropic name: claude-3-5-sonnetcontext_assembly: enabled: true embeddings: provider: openai model: text-embedding-3-small providers: - type: knowledge config: sources: ["./docs"] top_k: 3 policies/safety.yaml – governance as code name: security-policyrules: - id: block-file-deletion condition: tool.name == "file_delete" action: denyCLI – run and inspect Create and run an agent agentctl agent create researMar 3, 2026 1:31 PM
news.ycombinator.com
Launch HN: OctaPulse (YC W26) – Robotics and computer vision for fish farminghttps://news.ycombinator.com/item?id=47220320Hi HN! My name is Rohan and, together with Paul, I’m the co-founder of OctaPulse (https://www.tryoctapulse.com/). We’re building a robotics layer for seafood production, starting with automated fish inspection. We are currently deployed at our first production site with the largest trout producer in North America.You might be wondering how the heck we got into this with no background in aquaculture or the ocean industry. We are both from coastal communities. I am from Goa, India and Paul is from Malta and Puerto Rico. Seafood is deeply tied to both our cultures and communities. We saw firsthand the damage being done to our oceans and how wild fish stocks are being fished to near extinction. We also learned that fish is the main protein source for almost 55% of the world's population. Despite it not being huge consumption in America it is massive globally. And then we found out that America imports 90% of its seafood. What? That felt absurd. That was the initial motivation for starting Mar 2, 2026 4:39 PM
github.com
Show HN: Open-source expense and budget tracker with SQL API for AI agentshttps://github.com/kirill-markin/expense-budget-trackerI've been categorizing every transaction for over five years — from a 2 euro coffee to rent payments. At the end of each month I close the books and look at a 12-month forecast of where my money is going.It started when I was 19 and ran my first company. I had no idea what I was doing with money, so I found an experienced financial advisor who sat me down and showed me how companies actually do budgeting. Where money goes, how much you're spending, what income to expect. Basic stuff, but nobody had explained it to me before. I just started applying the same approach to my personal finances and never stopped.Once a week I sit down, drop my bank statements into an AI agent, and it parses everything — categorizes transactions, inserts them into the database, checks that balances match across accounts. If something doesn't add up, it asks me before fixing it.I tried a bunch of apps over the years — CoinKeeper, ZenMoney, spreadsheets. They all worked to some degree. But the one thing I coulMar 2, 2026 9:53 AM
news.ycombinator.com
Show HN: E8-Matrix: open-source physical particle discovery platformhttps://news.ycombinator.com/item?id=47206366I’d like to share E8-Matrix - a open-source physical particle discovery platform (recent program paper titled “From a High-Symmetry Sector to Testable Observables: An E8-Motivated Projection Program”) and would greatly appreciate any constructive feedback from the community.The work outlines a top‑down computational framework that connects a high‑symmetry ⊇ E8 structure to 3+1D observables via an operational projection Π.Instead of ad‑hoc effective shifts, the goal is to trace predictions back to explicit representation content and symmetry selection rules.- Proton decay: A spectrum‑driven “Track A” scan identifies a golden point configuration yielding τ_p ≈ 1.22×10⁴¹ years (for p → e⁺π⁰) while keeping the α₃ mismatch at the unification scale below 2.7% (1‑loop piecewise running). - Dark photon: The model predicts a light dark‑photon region m_A' ∼ 10⁻⁴–1 eV, ε ≳ 10⁻⁸, illustrated against an order‑of‑magnitude IAXO‑like reach. - Framework: The paper details the E8 → A7 × U(1)' → SU(5) →Mar 1, 2026 1:07 PM
news.ycombinator.com
Show HN: DevIndex – Ranking 50k GitHub developers using a static JSON filehttps://news.ycombinator.com/item?id=47193729Hey HN,I’ve always been frustrated by the lack of an accurate ranking for top open-source contributors on GitHub. The available lists either cap out early or are highly localized, completely missing developers with tens or hundreds of thousands of contributions.So, I built DevIndex to rank the top 50,000 most active developers globally based on their lifetime contributions.From an engineering perspective, the constraint I imposed was: *No backend API.* I wanted to host this entirely on GitHub Pages for free, meaning the browser had to handle all 50,000 data-rich records directly.Here is how we made it work:1. *The Autonomous Data Factory (Backend):* Because GitHub's API has no "Lifetime Contributions" endpoint, we built a Node.js pipeline running on GitHub Actions. It uses a "Network Walker" spider to traverse the social graph (to break out of algorithmic filter bubbles) and an Updater that chunks GraphQL queries to prevent 502 timeouts. The pipeline continuously updates a single `userFeb 28, 2026 11:13 AM
github.com
Show HN: Context Harness – Local first context engine for AI toolshttps://github.com/parallax-labs/context-harnessContext Harness is a single Rust binary that gives AI tools like Cursor and Claude project-specific memory. It ingests docs, code, Jira tickets, Slack threads, and anything else into a local SQLite database, indexes them with FTS5 and optional vector embeddings, and exposes hybrid search via CLI and an MCP-compatible HTTP server.I built this because I kept hitting the same problem: AI tools are powerful but have no memory of my complex multi-repo project. They can't search our internal docs, past incidents, or architecture decisions. Cloud RAG services exist, but they're complex, expensive, and your data leaves your machine. I wanted something I could point at my sources and just run `ctx sync all`.Quick start: # Install (pre-built binaries available for macOS/Linux/Windows) cargo install --git https://github.com/parallax-labs/context-harness.git # Create config and initialize ctx init # Sync your data sources (filesystem, Git, S3, or Lua scripts) ctx sync all # Search from CLI ctx seaFeb 26, 2026 6:26 AM
spacedaily.com
Dynamic terrain model boosts airborne gamma ray survey accuracyhttps://www.spacedaily.com/reports/Dynamic_terrain_model_boosts_airborne_gamma_ray_survey_accuracy_999.htmlLos Angeles CA (SPX) Feb 18, 2026 A research team led by Professor Hexi Wu and Dr Weicheng Li has developed a dynamic three dimensional terrain correction method that significantly improves the quantitative inversion accuracy of airborne gamma ray spectrometer surveys. The approach combines a novel sourceless efficiency calibration technique with a flight path based terrain model to tackle long standing challenges caused by overFeb 23, 2026 2:45 PM
github.com
Show HN: Aethene – Open-source AI memory layerhttps://github.com/akhilponnada/aetheneHey HN, I'm shipping my first open-source project and I'm pretty nervous about it. Aethene is an AI memory API – it gives your AI apps persistent memory. Store conversations, extract facts automatically, search semantically, handle contradictions gracefully. It works well thank most of the memory projects available on the market currently.Why I built this: I was building AI agents and kept running into the same problem – they forget everything. Every conversation starts from zero. I wanted something that could: - Auto-extract facts from conversations (not just store raw text) - Handle "user moved from SF to NYC" without keeping both as true - Search by meaning, not just keywords - Version everything (who said what, when) Tech stack: - TypeScript + Hono (fast, edge-ready) - Convex (real-time DB + vector search) - Gemini (embeddings + extraction) What it does: # Store memory curl -X POST /v1/content -d '{"content": "User loves hiking, lives in SF"}' # Recall naturally curl -X POST /v1/reFeb 22, 2026 1:57 PM
