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II-Agent builds full-stack websites for you. Next.js + Shadcn frontend, FastAPI backend, NeonDB database. Run local, Docker, or e2b and auto-deploy to Vercel. Reviewer agent tests and fixes on the fly. Open source. One prompt, ship. 🚢

87,341 Aufrufe • vor 11 Monaten •via X (Twitter)

9 Kommentare

Profilbild von Intelligent Internet
Intelligent Internetvor 11 Monaten

Sneaker landing page, one prompt. Hero video, smooth animation, fully responsive.

Profilbild von Intelligent Internet
Intelligent Internetvor 11 Monaten

Multiplayer jigsaw, one prompt. Real-time play, synced state, deploy-ready.

Profilbild von Intelligent Internet
Intelligent Internetvor 11 Monaten

Crypto dashboard, one prompt. Live data, charts, GPT trends, shipped to Vercel.

Profilbild von Intelligent Internet
Intelligent Internetvor 11 Monaten

Get started: 🔗 II-Agent GitHub: 🔗 Community Repo:

Profilbild von Intelligent Internet
Intelligent Internetvor 11 Monaten

What will you build? 👾 Discord: 📽️ Run locally:

Profilbild von Mobile Scanner
Mobile Scannervor 11 Monaten

Scan any documents, convert images into text, PDF files, etc. 👍

Profilbild von Crypto Bob
Crypto Bobvor 11 Monaten

Dynamic websites in just one prompt is insane... we are all developers now!🤯

Profilbild von II FAN
II FANvor 11 Monaten

🔥🔥🔥🔥🔥🔥🔥🔥

Profilbild von AIGoldenfinger
AIGoldenfingervor 11 Monaten

What a stable-intelligent-Internet-agent is this? What am I missing ... I am confused what to expect...

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i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

114,135 Aufrufe • vor 2 Tagen