4GitHub Trending (AI/LLM filtered)·
Biomni: Stanford SNAP general-purpose biomedical AI agent on GitHub
Stanford's SNAP group has released Biomni, an open-source general-purpose biomedical AI agent implemented in Python. The repository has accumulated 3,462 stars with modest daily growth (+32), suggesting steady community interest. The project targets broad biomedical tasks rather than a narrow clinical or research niche.
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HKUDS/nanobot: Lightweight open-source AI agent framework trending on GitHub
NanoBot is a lightweight, open-source Python AI agent framework from HKUDS (Hong Kong University of Science and Technology) designed for tool use, chat, and workflow automation. The repository has accumulated 45,658 stars with 120 added today, indicating significant community traction. It competes in the growing space of open-source agent harnesses.
Anthropic launches Claude Science, an AI workbench for scientific research
Anthropic released Claude Science in beta, an AI-powered research environment integrating over 60 curated scientific tools and databases for genomics, proteomics, structural biology, and cheminformatics. The platform features a coordinating agent with specialist sub-agents, a reviewer agent for citation and calculation checking, reproducible auditable artifacts, and flexible compute management across local machines, HPC clusters, and on-demand GPUs. It integrates with NVIDIA's BioNeMo Agent Toolkit, connecting to models like Evo 2, Boltz-2, and OpenFold3. Available to Claude Pro, Max, Team, and Enterprise users, this represents Anthropic's most significant expansion into scientific AI tooling.
OpenAI introduces GeneBench-Pro, a genomics and biology AI benchmark
OpenAI has released GeneBench-Pro, a new benchmark designed to evaluate AI performance on genomics, biology, and scientific research tasks using complex, real-world datasets. The announcement comes from OpenAI's official blog, positioning it as a domain-specific evaluation tool for scientific AI. This extends the evaluation landscape into life sciences, a growing area of AI application.
K-Dense-AI/scientific-agent-skills: Ready-to-Use Agent Skills Library for Research and Engineering
A Python repository providing a collection of pre-built agent skills targeting research, science, engineering, analysis, finance, and writing tasks. The project has accumulated 24,087 stars with a notable single-day gain of 762 stars, indicating significant community traction. No detailed technical documentation is available from the snippet, but the scope suggests a modular agent tooling library.
NVIDIA publishes AI agent skills library on GitHub
NVIDIA has published an open-source Python repository of AI agent skills on GitHub, accumulating 1,645 stars with 199 added in a single day. The repository appears to be a collection of reusable agent capabilities released by NVIDIA. The strong single-day growth suggests notable community interest in NVIDIA's agent tooling efforts.
The Batch: Jalapeño inference chip, Fugu multi-agent system, Claude Tag, Robin bio-agent, and Getty-OpenAI deal
OpenAI and Broadcom announced Jalapeño, OpenAI's first custom inference chip, designed in nine months with AI-assisted design and showing better performance-per-watt than current accelerators; engineering samples are already running GPT-5.3-Codex-Spark with datacenter deployment planned by end of 2026. Sakana AI released Fugu, a multi-agent routing system that scored 73.7% on SWE-Bench Pro, outperforming Claude Opus 4.8 and GPT-5.5 while remaining below the inaccessible Fable 5. Additional items cover Anthropic's Claude Tag Slack integration for async team collaboration, Seedance 2.5 video model improvements, the Robin autonomous biology research agent that identified a novel drug candidate, and a Getty Images licensing partnership with OpenAI.
last30days-skill: AI agent skill for multi-source research synthesis
A Python-based AI agent skill on GitHub that queries Reddit, X, YouTube, Hacker News, Polymarket, and the web to research any topic, then synthesizes a grounded summary. The repository has accumulated 27,522 stars with 173 added today, indicating significant community traction. It represents a practical agent tool for multi-source information aggregation.
Agent-S: Open Agentic Framework for Human-Like Computer Use
Agent-S is an open-source Python framework by Simular AI designed to enable AI agents to interact with computers in a human-like manner. The project has accumulated 11,388 GitHub stars with modest daily growth of 29 stars. It represents an entry in the growing space of computer-use agent frameworks targeting GUI and desktop automation tasks.