awesome work

Bro is doing wonderful work 🥵

Awesome work

wondeful agent product！！

No labels? ØvO help you! Excited to share our new paper: Self-Supervised Prompt Optimization (arxiv.org/abs/2502.06855) 🔥 Key features: ØvO: Output vs Output - no labels/human feedback needed! 99% cost reduction ($0.15) SOTA performance with just 3 examples 1/5

Reasoning models lack atomic thought ⚛️ Unlike humans using independent units, they store full histories🤔 Introducing Atom of Thoughts (AOT): lifts gpt-4o-mini to 80.6% F1 on HotpotQA, surpassing o3-mini and DeepSeek-R1 ! The best part? It's plugs in for ANY framework 🔌 1/5

20 Months: 0 → 7 papers (2 ICLR orals) & 40+ institution collabs. With a clear vision, we're building the open-source foundation for tomorrow's agents. We also release MGX (mgx.dev) and commit to open-source its core soon. Check threads for what we've built! 1/8

No fortress, purely open ground. Manus 👋. We open-sourced its core feature in 2 hours after dinner. Check it out 👇: github.com/mannaandpoem/O… 1/4

Text-to-SQL woes? Reasoning models stumble in zero-shot tasks 😓 Enter Alpha-SQL — our breakthrough boosts 7B LLMs by 15-20%, topping GPT-4o SOTA and even reasoning models on BIRD! 🎉 Test Time Scaling still shines. How we nailed it 👇: 1/5

🧠264 pages and 1416 references chart the future of Foundation Agents. Our latest survey dives deep into agents—covering brain-inspired cognition, self-evolution, multi-agents, and AI safety. Discover the #1 Paper of the Day on Hugging Face👇: huggingface.co/papers/2504.01… 1/3

Any thoughts on this agent evolution path? 👀

It's actually a pity that we got no enough time to maintain OpenManus during the past 3 months. But the better news is that we will build a formal open-source community for OpenManus at the end of this month.

Why don't products claiming to be "general agents" like Manus and GenSpark compare their coding capabilities and deep search prowess against OpenAI's agents? I mean, can Manus even handle something as basic as maintaining a survey repo? It just needs simple search and automated

🤖Check The Hitchhiker’s Guide to Agents HERE🤖 Our Foundation Agents Survey V2 level up to 396 pages – every chapter is a full-on survey itself! 🧠 Agent Framework & Components 🌍 World Model & Memory 🔄 Self-Evolution 👥 Multi Agents 🛡️ Safety 1/4