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Showing 1–20 of 4698 tools
Last Updated
May 21, 2026 at 12:00 PM
Lum1104/Understand-Anything
GitHub Trending[Other] Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
dotnet/skills
GitHub Trending[Other] Repository for skills to assist AI coding agents with .NET and C#
Show HN: Rmux – A programmable terminal multiplexer with a Playwright-style SDK
Hacker News (score: 75)[CLI Tool] Show HN: Rmux – A programmable terminal multiplexer with a Playwright-style SDK Author here. RMUX started from a frustration: I've used tmux for years and got tired of scraping output with grep and sleeps to automate anything. So I rebuilt the multiplexer from scratch in Rust, with a programmable layer on top.<p>Two surfaces: a tmux-compatible CLI (~90 commands, your keybindings just work), and a typed async Rust SDK on the same daemon — stable pane IDs, structured snapshots, locator-style waits. The idea is Playwright-style automation, but for terminals.<p>Native on Linux, macOS, Windows (real ConPTY, no WSL).<p>Demos and docs at rmux.io. Happy to answer questions about the daemon protocol, ConPTY, or the SDK design.
rmyndharis/OpenWA
GitHub Trending[API/SDK] Free, Open Source, Self-Hosted WhatsApp API Gateway
Deep – CLI/REPL for generating and iterating on codebases using DeepSeek
Hacker News (score: 10)[CLI Tool] Deep – CLI/REPL for generating and iterating on codebases using DeepSeek
Show HN: CPU-only transcription for YouTube, TikTok, X, Instagram videos
Hacker News (score: 79)[Other] Show HN: CPU-only transcription for YouTube, TikTok, X, Instagram videos
GitHub's take on age assurance for developers
Hacker News (score: 20)[Other] GitHub's take on age assurance for developers
Show HN: Dari-docs – Optimize your docs using parallel coding agents
Hacker News (score: 14)[Other] Show HN: Dari-docs – Optimize your docs using parallel coding agents It’s well known at this point that documentation needs to be optimized for AI agents - we’re all pointing our Claude Code / Codex / Pi agents at documentation, and expecting the models to figure out how to implement a product.<p>This, however, changes the entire optimization problem when writing documentation. Good documentation now becomes more objective - you are solving the very concrete problem: can a dumb harness running the dumbest model implement this reliably?<p>Humans can typically compensate for inconsistent terminology or scattered context across pages, but for agents, this often will waste time (or even just completely confuse the agent).<p>We’ve been building a small project around this called dari-docs: users can upload their documentation via website or CLI and run agents across different providers to see where they falter. You can upload your documentation, feed a list of tasks, and ask agents with varying intelligence / cost levels to complete those tasks in parallel. When a run is complete, you get back a list feedback markdown files from each agent run and can apply changes based on agent feedback.<p>Managed service: <a href="https://optimize.dari.dev/">https://optimize.dari.dev/</a>, repo link: <a href="https://github.com/mupt-ai/dari-docs" rel="nofollow">https://github.com/mupt-ai/dari-docs</a><p>The agents actually try to use the product end-to-end. They search through the docs, follow instructions, run commands, try examples, and attempt to debug failures. Importantly, this is not a static LLM review of the documentation. The agents are actually attempting the integration.<p>You can also enable live verification with test credentials so the agents can actually verify workflows against real APIs:<p><pre><code> dari-docs check . --live-verify --secret-env DARI_TEST_API_KEY --task "Create a checkout session" </code></pre> If you’re building a CLI, API, MCP server, or SDK and actively maintaining docs for humans or agents, we’d love to work with you and test this on real workflows!
SBCL: the ultimate assembly code breadboard (2014)
Hacker News (score: 133)[Other] SBCL: the ultimate assembly code breadboard (2014)
Formal Verification Gates for AI Coding Loops
Hacker News (score: 66)[Other] Formal Verification Gates for AI Coding Loops
Show HN: Hocuspocus 4 – self-hosted Yjs collaboration backend
Hacker News (score: 25)[Other] Show HN: Hocuspocus 4 – self-hosted Yjs collaboration backend Hi HN! I'm Philip, one of the founders of Tiptap. Next to our open-source rich text editor framework, we started developing Hocuspocus about five years ago and open-sourced it too, to solve one of our biggest challenges back then: real-time collaboration in web editors. We found Yjs by Kevin Jahns, a CRDT library that handles concurrent edits without conflicts. Basically, Yjs merges changes from users without conflicts and in real-time. Hocuspocus is the WebSocket server built on top of Yjs. It handles real-time sync, presence/awareness, persistence, and Redis-based scaling.<p>While we use Hocuspocus at Tiptap as the collaboration backend for our cloud services, it also works with any Yjs client (Slate, Quill, Monaco, ProseMirror, or your own setup), and Yjs documents aren't limited to text at all. You can sync any structured data through them, and in the meantime we see projects that rely on Hocuspocus without using the Tiptap editor.<p>We released Hocuspocus v4 under the MIT license a few weeks ago, and the biggest change is that it's no longer tied to Node. The previous versions depended on the ws package, which meant you couldn't run Hocuspocus on Bun, Deno, or Cloudflare Workers. We moved to crossws, a universal websocket adapter, so the same server now runs on Node, Bun, Deno, Cloudflare Workers, and Node with uWebSockets. That also lets you run collaboration at the edge.<p>The other changes are smaller but are important if you're using Hocuspocus in production:<p>1. Every core class and hook payload takes a generic Context type now, so the auth/session shape you build in onAuthenticate flows through every other hook with full type safety (defaults to any so existing code doesn't break).<p>2. Document updates are now processed sequentially per connection through an internal queue, which fixes a correctness bug where async hooks could cause CRDT updates to apply out of order under load.<p>3. Transaction origins are structured objects now with a source field instead of raw values and there's an isTransactionOrigin() helper for narrowing.<p>4. Hook payloads use web-standard Request and Headers instead of Node's IncomingMessage.<p>5. The wire protocol is backward compatible in both directions, so you can roll out servers and providers independently.<p>If you want to test Hocuspocus: npm install @hocuspocus/server @hocuspocus/provider<p>Docs at: https://tiptap.dev/docs/hocuspocus<p>Source at: https://github.com/ueberdosis/hocuspocus<p>Because running real-time collaboration on Workers or Durable Objects is new in v4, that's the use case we'd most like to hear your questions and feedback on.
Testing distributed systems with AI agents
Hacker News (score: 59)[Testing] Testing distributed systems with AI agents
GitHub confirms breach of 3,800 repos via malicious VSCode extension
Hacker News (score: 91)[Other] GitHub confirms breach of 3,800 repos via malicious VSCode extension Previous thread in sequence:<p><i>GitHub is investigating unauthorized access to their internal repositories</i> - <a href="https://news.ycombinator.com/item?id=48201316">https://news.ycombinator.com/item?id=48201316</a> - May 2026 (321 comments)
can1357/oh-my-pi
GitHub Trending[CLI Tool] ⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
Show HN: Open-Source Agentic QA Harness with Memory
Show HN (score: 12)[Testing] Show HN: Open-Source Agentic QA Harness with Memory GitHub - <a href="https://github.com/vostride/agent-qa" rel="nofollow">https://github.com/vostride/agent-qa</a> Live Demos - <a href="https://vostride.com/demo/agent-qa" rel="nofollow">https://vostride.com/demo/agent-qa</a>
Incident Report: May 19, 2026 – GCP Account Suspension
Hacker News (score: 430)[Other] Incident Report: May 19, 2026 – GCP Account Suspension Previous thread: <i>Incident Report: Railway Blocked by Google Cloud [resolved]</i> - <a href="https://news.ycombinator.com/item?id=48201484">https://news.ycombinator.com/item?id=48201484</a>
Testing MiniMax M2.7 via API on three real ML and coding workflows
Hacker News (score: 14)[Testing] Testing MiniMax M2.7 via API on three real ML and coding workflows
GitHub is investigating unauthorized access to their internal repositories
Hacker News (score: 571)[Other] GitHub is investigating unauthorized access to their internal repositories <a href="https://xcancel.com/github/status/2056884788179726685" rel="nofollow">https://xcancel.com/github/status/2056884788179726685</a>
Remove–AI–Watermarks – CLI and library for removing AI watermarks from images
Hacker News (score: 156)[CLI Tool] Remove–AI–Watermarks – CLI and library for removing AI watermarks from images
Show HN: I built a native macOS Markdown viewer 100% with AI coding agents
Show HN (score: 5)[Other] Show HN: I built a native macOS Markdown viewer 100% with AI coding agents I built Markdown Viewer because every Markdown app I found was either bloated (VS Code, Obsidian) or too bare-bones. Wanted something that loads instantly, renders Obsidian-style features cleanly, and weighs in at a few megabytes.<p>Built with Tauri 2 (Rust backend + webview frontend): - GitHub Flavored Markdown + Obsidian extensions (wikilinks, callouts, emoji, math, Mermaid diagrams) - Frontmatter rendered as a structured metadata bar above content - HTML sanitization via ammonia for security - No heavy dependencies, no Electron<p>What makes it interesting isn't so much the features — but how it was built. Every line of Rust, CSS, and JavaScript was written by AI coding agents (pi.dev/Qwen and Claude Code) without a single human writing code. No hand-holding, no "prompt then copy-paste" — just a high-level brief and iterative agent-driven development.<p>I've been using this project to hone into my pi.dev setup - am getting somewhere with pi.dev/Qwen3.6 with a small set of extensions. Trying to avoid Claude Code/Opus for this project - want to see what I can do with local LLM.<p>Key stats: - Instant load (no webview overhead, pure rendering) - ~few MB binary - Sanitized HTML via ammonia (XSS-safe) - Open source on GitHub<p>Open source at <a href="https://github.com/rajatarya/mdviewer" rel="nofollow">https://github.com/rajatarya/mdviewer</a>