@LeeLeepenkman · X

nice im working on lots of AI stuff so right now :)

@hijak01 · X

check out the demo

@TurenTom · X

@matebenyovszky · X

I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.

eldar_hsnv · HN

Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

@CRYPtoKong32 · X

also Join our $MUSKOX Ai Ecosystem built on Base Coin. 🪙 $AGWC Websites:

sascha10000 · HN

Multi-agent LLM editor with local inference via WebSockets

@md440326799 · X

Built Caravel for myself: a local-first macOS workbench for Claude Code, Codex, OpenCode (and friends). Same CLIs — less terminal juggling. Review Diff, then merge when it looks right. Try the interactive demo: GitHub:

@VisionAIWS · X

@promptboxxx · X

Have all your AIs in one place and never repeat a prompt

tyagivivek · HN

Parley – your coding agent can talk to a teammate's agent

@AIWMCX1 · X

Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.