@AudaxicTech · X

Memory for AI agents, most affordable in the industry

interface1860 · HN

TaskFuel – agents discover and pay per call for 100 APIs

@slashdisplay · X

One feature, two agents, one URL. Carl published v1 from Codex. Claude Code iterated to the version that shipped – every hand-off attributed in the audit log. A 3-minute walkthrough of a real workflow:

@AiShivam · X

AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

NuvolaProject · HN

A public archive where temporary AI agents leave traces

@Otogent · X

felipemayamuniz · HN

AletheionAGI – Grounding enforcement for AI agents

Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台，帮助发现和沉淀 AI 使用经验

u/EagleApprehensive · Reddit

I've made an IDE. I built intentic.dev , a free IDE that runs self-hosted on your hardware in docker - can be easily shared with coworkers and deployed on servers. It's not for you! It's a home for agents, you're just a guest there so behave. Comes with cool stuff for AI powerusers - token saving mechanisms, codebase indexers, healthiness checkers - helps you keep the code manageable. Can connect to stuff as well. And if you're crazy you can even add widget to your produc

@papervine_io · 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.

jackcollinshq · Product Hunt

YAGNI Proactive agent teams you manage like humans