Pan Lu

YouTube

🔥Introducing #AgentFlow, a new trainable agentic system where a team of agents learns to plan and use tools in the flow of a task. 🌐agentflow.stanford.edu 📄huggingface.co/papers/2510.05… AgentFlow unlocks full potential of LLMs w/ tool-use. (And yes, our 3/7B model beats GPT-4o)👇 🧩A team of four specialized agents coordinates via shared memory: Planner: plan reasoning & tool calls 🧭 Executor: invoke tools & actions 🛠 Verifier: check memory status ✅ Generator: produce final results ✍️ 💡The Magic: 🌀💫 AgentFlow directly optimizes its Planner agent live, inside the system, using our new method, Flow-GRPO (Flow-based Group Refined Policy Optimization). This is "in-the-flow" reinforcement learning. 📊The Results: AgentFlow (7B backbone) outperforms top baselines on 10 benchmarks, with average gains of: +14.9% on search 🔍 +14.0% on agentic 🤖 +14.5% on math ➗ +4.1% on science 🔬 🏆It even surpasses larger-scale models like Llama-3.1-405B and GPT-4o (~200B). Try it yourself! 🛠️Code: github.com/lupantech/Agen… 🚀Demo: huggingface.co/spaces/AgentFl… 🤖Model: huggingface.co/AgentFlow/mode… 📊Visual: #visualization" target="_blank" rel="nofollow noopener">agentflow.stanford.edu/#visualization 💬Join our Slack: join.slack.com/t/agentflow-co… #agentic #llms #RL #tooluse

Excited to share that AgentFlow has been selected as an ICLR 2026 Oral 🎉 agentflow.stanford.edu Since launch, AgentFlow has also grown to 1.7K GitHub stars. Thank you so much for the support. AgentFlow is a trainable multi-agent system where specialized agents learn to plan and use tools in the flow of a task. We are excited to present it at ICLR. 🛠️ Code: github.com/lupantech/Agen… 🤖 Models: huggingface.co/AgentFlow/mode… 🚀 Demo: huggingface.co/spaces/AgentFl… 🎥 Video: youtube.com/watch?v=kIQbCQ… Huge shoutout to the amazing team behind this work: 🌟 @zhuofengli96475, @GhxIsaac, @SeungjuHan3, @ShengLiu_, @jianwen_xie, @yuz9yuz, @YejinChoinka, @james_y_zou And thank you to our supporters: 📷 @LambdaAPI, @RenPhilanthropy, @StanfordHAI, @StanfordAILab, @kaist_ai. See you at ICLR 2026! #ICLR2026 #AgentFlow #AgenticAI #LLM #RL #ToolUse

🐙 Introducing OctoTools: an agentic framework with extensible tools for complex reasoning! 🚀 🧵 🔗 Explore now: octotools.github.io OctoTools tackles challenges in complex reasoning—including visual understanding, domain knowledge retrieval, numerical reasoning, and multistep problem-solving. It introduces: 🔹 Standardized tool cards to encapsulate tool functionality 🔹 A planner for structured high-level & low-level planning 🔹 An executor to carry out tool usage Featured Highlights 💡 ✅ Standardized tool cards for seamless integration of new tools-no framework changes needed (🔎 examples: #tool-cards" target="_blank" rel="nofollow noopener">octotools.github.io/#tool-cards) ✅ Planner + Executor for structured high-level & low-level decision-making ✅ Diverse tools: visual perception, math, web search, specialized tools & more ✅ Long CoT reasoning with test-time optimization: planning, tool use, verification, re-evaluation & beyond (🔎 examples: #visualization" target="_blank" rel="nofollow noopener">octotools.github.io/#visualization) ✅ Training-free & LLM-friendly—easily extend with the latest models ✅ Task-specific toolset optimization: select an optimized subset of tools for better performance 📊 Performance: OctoTools achieves generalizable gains across 16 tasks, outperforming: 📈 GPT-4o (+9.3%) 📈 AutoGen (+10.6%) 📈 GPT-4o Functions (+7.5%) 📈 LangChain (+7.3%) 🤗 Try the live demo (supported by @huggingface @_akhaliq): huggingface.co/spaces/octotoo… 🐙 OctoTools in action on diverse real-world examples: ✅ How many r letters are in the word strawberry? ✅ What's up with the upcoming Apple Launch? Any rumors? (credit: @karpathy) ✅ Which is bigger, 9.11 or 9.9? ✅ Solve gane of 24 with [1,1,6,9] ✅ Research trends in tool agents with LLMs for scientific discovery from ArXiv, PubMed, and Nature ✅ How many baseballs are there? (visual perception, GPT-4o ❌) ✅ What is the organ on the left side of this image? (radiology, GPT-4o ❌) ✅ What are the cell types in this image? (pathology, GPT-4o ❌) ... and more! Dive deep into OctoTools: 📄 Read our 89-page paper: arxiv.org/abs/2502.11271 💻 Explore the codebase: github.com/octotools/octo… Huge thanks to our amazing team: @chenbowen118, @ShengLiu_, @connect_thapa, Joseph Boen! Special thanks to @james_y_zou, @StanfordHAI, @ChanZuckerberg for the support! 🙌 #Agent #LLMs #ToolUse #Reasoning #OctoTools

🔥Introducing #AgentFlow, a new trainable agentic system where a team of agents learns to plan and use tools in the flow of a task. 🌐agentflow.stanford.edu 📄huggingface.co/papers/2510.05… AgentFlow unlocks full potential of LLMs w/ tool-use. (And yes, our 3/7B model beats GPT-4o)👇 🧩A team of four specialized agents coordinates via shared memory: Planner: plan reasoning & tool calls 🧭 Executor: invoke tools & actions 🛠 Verifier: check memory status ✅ Generator: produce final results ✍️ 💡The Magic: 🌀💫 AgentFlow directly optimizes its Planner agent live, inside the system, using our new method, Flow-GRPO (Flow-based Group Refined Policy Optimization). This is "in-the-flow" reinforcement learning. 📊The Results: AgentFlow (7B backbone) outperforms top baselines on 10 benchmarks, with average gains of: +14.9% on search 🔍 +14.0% on agentic 🤖 +14.5% on math ➗ +4.1% on science 🔬 🏆It even surpasses larger-scale models like Llama-3.1-405B and GPT-4o (~200B). Try it yourself! 🛠️Code: github.com/lupantech/Agen… 🚀Demo: huggingface.co/spaces/AgentFl… 🤖Model: huggingface.co/AgentFlow/mode… 📊Visual: #visualization" target="_blank" rel="nofollow noopener">agentflow.stanford.edu/#visualization 💬Join our Slack: join.slack.com/t/agentflow-co… #agentic #llms #RL #tooluse

Introducing Eubiota: A multi-agent AI framework for autonomous discovery in the human microbiome. 🧬🤖🧫 👇 Explore the platform: eubiota.ai Eubiota doesn’t just chat: it plans, uses tools, verifies evidence, and drives end-to-end discovery—from hypothesis to wet-lab validation. Eubiota achieved 87.7% accuracy on mechanistic reasoning (vs. GPT-5.1 77.3%). But we went further. We used Eubiota to drive 4 discoveries with experimental validation: ✅ Gene Discovery: Identified the uvr-ruv stress axis by screening 1,945 genes & 10K papers in hours (on 2 GPUs) 🧬⚡ ✅ Therapeutics: Designed a microbial therapy that reduced colitis inflammation 🦠💊 ✅ Antibiotics: Engineered a cocktail that kills pathogens but spares commensals 🎯🛡️ ✅ Metabolites: Discovered novel anti-inflammatory molecules from large human data 🥗🧪 📄 Paper: biorxiv.org/content/10.648… 💻 Code: github.com/lupantech/Eubi… Try the live app to start your own discovery: 🎮 App: app.eubiota.ai Huge thanks to fantastic co-lead @YifanGao15, our incredible PIs @james_y_zou @LabSonnenburg, stellar advisors Kerwyn Casey Huang, @YejinChoinka, and the excellent team! 👏 #Eubiota #Microbiome #Inflammation #AI4Sci #AgenticAI #Agent

Can AI move beyond chatting to actually making biological discoveries? What if AI could think like a microbiologist? 🧪 📣 Excited to introduce Eubiota: a modular agentic AI framework for autonomous discovery in the gut microbiome. 🧬🤖🦠 👉Explore: eubiota.ai The gut microbiome is complex; manual discovery is slow. 🐌 We built Eubiota to think like a researcher: planning experiments, verifying data, and synthesizing results. It’s an open-source system designed to empower the entire community. 🌐 Eubiota demonstrated its capability across end-to-end discovery tasks, with results validated in the lab: ✅ Identified uvr-ruv DNA repair axis for fitness under inflammatory stress by screening ~2,000 genes🧬 ✅ Designed a microbial consortium therapy to reduce inflammation in mice colitis models.🐁 ✅ Uncovered diet-associated anti-inflammatory metabolites & engineered antibiotic cocktails.💊 Eubiota is the "scientific copilot" the field has been waiting for. Let AI be your partner to accelerate discovery! 🚀 Incredible teamwork with @lupantech and all our co-authors! I'm deeply grateful for the guidance from amazing advisors @james_y_zou, @LabSonnenburg, and brilliant mentors KC Huang, @YejinChoinka. Read more here: 🔗biorxiv.org/content/10.648… Code: github.com/lupantech/Eubi… Try out our system in your browser! 🤖app.eubiota.ai/chat #Eubiota #AI4Science #Gut #Microbiome #AgenticAI

Thrilled to introduce #Eubiota: new AI co-scientist for microbiome research! Eubiota discovered 💊new microbial therapy reducing colitis inflammation 💊new anti-inflammation metabolites and more! All experimentally validated. Eubiota is trained w/ our multi-agent RL >> GPT5. Use it for free eubiota.ai Great job led by @lupantech @YifanGao15 and fantastic collaboration w/ @LabSonnenburg 🚀