Hi HN — I built Superexpert.AI, an open‑source platform that lets you spin up multi‑task AI agents in minutes without writing any code (and lets you extend everything later).

What it does

- Plug‑and‑play agents – Create agents from a web form. Each agent can contain multiple tasks, and each task can run a different AI model, use its own tools, and follow custom instructions.

- First‑class extensibility – Register a TypeScript function with registerServerTool, registerClientTool, or registerContextTool to add new functionality. If you want to share it, publish it as an NPM package and Superexpert.AI will auto‑detect it when installed.

- Built‑in RAG – Upload docs via the UI, or use a CLI that chunks 100 MB files, auto‑resumes after network errors, auto-resumes after network errors (e.g. uploading a 500-page PDF manual) and pipes the data into your agent.

- Launch a full chat app in minutes – Everything is MIT‑licensed NextJS + TypeScript + Tailwind + Postgres. Deploy like any other NextJS project.

Links

- Walkthrough (no sign‑up): https://app.arcade.software/share/yGqgrj65xp6y4mkDbNnT

- Live demo (email sign‑up): https://demo.superexpert.ai/

- GitHub repo: https://github.com/Superexpert/superexpert-ai

- Quick‑start guide: https://superexpert.ai/docs/quick-start/

- Full docs & tutorials: https://superexpert.ai/

Why I built it

I kept hand‑coding LangGraph‑style workflows for clients and wanted a web‑first, stack‑agnostic way to launch agents fast and stay fully modifiable. Superexpert.AI lets you extend or swap every layer — from models to tools to UI themes — with TypeScript.

Looking for feedback

1. Agent use‑cases you still have to hand‑code today.

2. Gaps in the RAG flow or model tooling that block production use.

Discord for deeper chat: https://discord.gg/wsrc3enWN3

–– Stephen