An agentic skills framework & software development methodology that works.
Tools Bench.
Product launches and open-source repos with enough signal to earn a second look.
Last Brew Time: Oct 31, 2026, 11:45 AM PT
Sources
GitHub
Skills for Real Engineers. Straight from my .agents directory.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/ .
Product Hunt
Build a voice agent that sounds and behaves human without writing a single line of code. Design the call flow, handle objections and edge cases, connect your tools and knowledge base, and go live on a real phone number. Every call ends with clean, structured data.
Give visitors a way to say hello. Add free live chat to your website or app, or turn your bio link into a personal contact page. Visitors can start chatting without signing up. Built for founders, creators, and small teams.
Turn natural speech into real work with SpeakON Agent. It understands your Notes, connects your tools, and prepares Actions for you to review and confirm.
Canva Brush is a vision-language model for design from Canva Research. It sees your design, understands how it’s put together, and makes the changes you ask for, from one line of copy to every slide in a deck. Everything stays fully editable. Canva says it’s up to 69% faster and 46% lower cost per edit task than its previous design agent. It’s powering Canva AI design edits for Canva Pro subscribers today.
XWiki MCP Server is an open-source, self-hostable extension that connects XWiki to the AI agent of your choice: OpenCode, Pi, Codex, Claude Code, GitHub Copilot, and more. You can already use the extension to query your knowledge base to get answers, create and edit pages, and work with structured data directly in XWiki. Try out the extension and let us what's should we improve next!
A fast open-source browser agent. It reads every button, link and field on the page and has a System One model (ex: jev) pick the next step from that list. If it's unsure, it falls back to a standard model model. Fast, cheap, and every answer provides a citation.
YC Launch
Sends the right tech to the right job, and rebuilds the schedule all day. Fleety · Fall 2026 · B2B Tags: SaaS, B2B, Home Services, AI. Website: https://usefleety.com
Hacker News
Hello HN! Wonderhop is a small browser game with no account needed to play, everyday there are 4 rounds of 7 quesitons like "Name a food that a lot of people hate" The goal depends on the mode: Either gives the answer most people would give, the one no one would give, the oldest answer or the most recent one and there's a leaderboard for the day. The most interesting part of the project was understanding answers that are typed freely and in 10 languages, there was some typos, plurals, nickname,... (124 points, 98 comments).
About 11 months ago i revived the amazing but unfortunately unmaintained spotify-tui. Since then I have been working on it almost non stop, finding a lot of problems on the way. One of the main issues I ran into were the Spotify web API rate limits. Third party clients like spotatui are dependent on a developer app made in the Spotify developer dashboard, which get rate limited a lot and Spotify has slowly been deprecating endpoints from it. The workaround for this used to be using a shared clie... (92 points, 19 comments).
Hi everyone! I had the idea for catcopter on my mind for a long time (got the domain ~13 years ago). It's a web multiplayer game where you can fly a dangerous cat and engage in competition with other players and critters (pterodactyls, chickens and angry penguins). I made it initially for me and my friends but it was quite fun so I thought I'll share it here too. The game is intentionally dorky and it was fun to develop. The tools I used were mostly Opus 5.5 (objects / rigging / motion), Tripo3d... (83 points, 42 comments).
Hi HN, I'm Ruud, co-founder of Lont. We turn company emails into personalized videos. Video captions cost us manual work twice: fixing misheard words, then fixing layout, like lines ending on “the”. Overtone uses multiple models to listen to the audio: gpt-transcribe, Azure STT, and Elevenlabs Scribe. When they return conflicting results, Overtone sends small clips to the models again, and then lets an LLM decide what was actually said. The LLM is like a human doing a sanity check on the transcr... (44 points, 10 comments).
tl;dr: Agents can play Pictionary. You can connect your own agent, or just watch a game in progress here: https://sketch.wakeshift.ai/games/q5ucru Hi folks! I initially built this as a proof-of-concept for sending push notifications to AI agents. Watching the agents play Pictionary together has been compelling, so I thought I'd ship it as a standalone demonstration. In Sketch Stadium, your agent subscribes to game events. Agents take turns either drawing or guessing. Easy clues are 1 point, medi... (35 points, 11 comments).
Hi HN, I'm Richard, founder of Native. I'm working on open-source context ownership, to stop AI centralisation: https://github.com/withnative/native My first focus has been making Markdown vaults powerful enough so that teams can self-host all of their context (messaging, docs and projects), without it being externally fragmented or rate-limited. I'm sharing some early results: Markdown vaults can be 40× more efficient with SQLite! https://www.withnative.ai/research-and-posts/markdown-contex...... (10 points, 0 comments).
HF Spaces
generate a video from an image with a text prompt Wan2.2 14B Preview is a Hugging Face Space tagged with gradio, mcp-server, region:us. It has 1140 likes on Hugging Face.
Benchmarks and news on various repros of TypeSafe's Jev Who is rebuilding TypeSafe's Jev (System One / RLCD) in the open? This static Space opens on the Decision Index leaderboard; the News tab tracks the artifacts in one combined grid, color-coded by kind: Decoding: parallel constrained decoding on stock models (inference technique, no new weights) Diffusion: text diffusion models run in a "Jev mode" Trained: Jev-like scoring heads and fine-tunes, weights often on the Hub, promised models listed last Prior art: "this already exists" claims Explainers: architecture speculation, explainers, benchmarks and roundups Cards sort by a trending score: ♥ likes on X + 5 × GitHub stars + 8 × Hub likes...
Real trained RL policies for the Microduck robot, running fully in the browser: MuJoCo compiled to WebAssembly steps the physics, onnxruntime-web runs the policy network at 50 Hz. No server, no backend. Two locomotion variants of the same robot are included: legs (walking, the default) and rollers (the wheeled skating variant). Press M (or hold D-pad up ~1 s on a gamepad) to switch; the roller model, meshes and policies are lazy-loaded on the first switch. | Mode | Checkpoint | What it does | |--------|-----------|--------------| | Run (legs) | BESTalphawalking.onnx | Velocity-tracking locomotion (arrows / WASD to steer) | | Sit | BESTalphasitstand.onnx | Sits down on its hull, stands back u...
Head swap with the BFS LoRA on Qwen-Image-2.1 (+turbo) Head/face swap demo for the BFS bfsheadv1qwen2.1 LoRA on Qwen-Image-2.1, with an optional Viggle turbo 6-step mode. Example inputs are cropped from the example images in the BFS model repository (MIT license). Qwen-Image-2.1 and the Viggle turbo LoRA are under the Qwen Research License (non-commercial). Do not use or share results involving people who have not given consent. BFS Best Face Swap is a Hugging Face Space tagged with gradio, mcp-server, region:us. It has 650 likes on Hugging Face.
6-step Qwen-Image-2.1, T2I + editing, vs-base comparison Viggle Turbo v0.3 — 6-step Qwen-Image-2.1 A distilled Qwen-Image-2.1 that generates and edits images in 6 steps with no classifier-free guidance, about 5× faster than the 40-step base model. On most prompts it is hard to tell apart from the base model; small, dense text and complicated edits (multi-reference composition, face swaps, identity-preserving edits) can still fall short of it. v0.3 (2026-09-29): at 6 steps, less grain than v0.2.1 and a little softer on fine texture. We think 6 steps is close to its capacity: every further gain we found cost something elsewhere. The new 9-step setting runs 7 turbo steps and lets the base model...
Semantic search for 3D assets: USD + RTX simulation previews SimReady Central USD Search — single-container demo (OpenSearch + Neo4j + Redis + deepsearch-api + asset-graph-service, SigLIP2 embeddings via a local siglip2-triton process — see docker/Dockerfile.hf-space-gpu). Runs on a GPU hardware tier (rtx-pro-6000), unlike the free-tier docker/Dockerfile.hf-space variant, which routes SigLIP2 to NVCF instead. The index itself is pulled from the artifact S3 bucket at container startup, not baked in. Deployed by github.com/NVIDIA-dev/simready-central-indexing-internal's python -m pipeline.run_pipeline deploy-space-gpu. Third-party notices: THIRDPARTYNOTICE.md. SimReady Central is a Hugging Fac...













