If you’re in HyperHack, you’re here to build. So let’s get straight to it:
Why Alith (and Why Now)?
Ever tried “AI agent” frameworks that were all buzzwords, no real-world UX? This is why Alith is different: ultra-fast, privacy-preserving, and actually designed for developers. You want code that runs at the speed of thought, deploys in minutes, and doesn’t force you to hack around. That’s Alith.
What You’ll Love as a Dev?
Step-by-step walk-through for launching your first agent (with real code and result)
Quick-start for devs who just want to build and ship, skip to section 3 for code-only mode
Check out the full GitHub Repo & copy-paste your way to a live agent: Building Autonomous Agents with the Alith Framework: Developer Guide
P.S.: Already building? Share what you’re working on or ask questions below, let’s make this the go-to Alith dev thread for HyperHack.
finally found an AI agent framework that actually works. Fast, clean, no fluff just results. Set it up in minutes with the Kitrow guide, definitely sticking with it.
Alith??? That’s exactly what we need in Web3, no fluff, just real tools for devs who want to build fast and smart. Launching an agent in minutes? That’s really good stuff!
I’ve just started exploring Alith and honestly, the speed + dev-first design stands out. Infact i know Eduverse doing something with this and its on testing phase currently, its a education AI bot .
Yeah absolutely ! we’re using Alith to power AI agents inside EduVerse, and honestly it’s been impressive so far
We’ve got a few core agents running:
TutorChatAgent – our main AI tutor, built with Gemini 2.5 Flash And DeepSeek-R1. It helps users in real-time during courses and quizzes, and also powers our Telegram bot (@aiva_help_bot). The responses are fast (usually ~2–3s ), and it’s designed to give helpful guidance instead of direct answers, making learning more interactive
HintAgent – a supporting agent that specifically handles quiz-related hints. When students get stuck, it provides small nudges without revealing the answer, helping them think through the problem
ProgressTrackerAgent – a backend agent that connects to our smart contract. When someone completes a quiz, this agent verifies it and writes an on-chain credential to the user’s record. So learning isn’t just interactive — it’s verifiable and Web3-native
What really stood out with Alith is the dev-first design. You define agent roles and behavior with clean config, routing is built-in, and you don’t need to worry about complex orchestration — agents just work
We’re still in testing, but things are stable — and we’re planning to add more AI agents soon (like progress analyzers and personalized course planners)
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