Your AI Assistant Reasons Like a Generalist. Science Needs a Specialist.
Scientific Agents: 503 open-source AGENTS.md profiles that teach any AI agent to reason like a senior practitioner in a specific science or engineering field.
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Explore tutorials, product updates, and insights on AI-powered research automation from the K-Dense team.
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Showing 12 posts tagged "Open Source".
One Skill, 78 Databases: Why We Didn't Build 78 Skills
One Agent Skill gives a research agent 78 public scientific and economic databases. Here is the design argument, with real token and routing benchmarks.
Introducing Science Superpowers: Scientific Discipline for Your Research Agent
Our new open source methodology makes AI research agents pre-register hypotheses, work reproducibly, and verify before they claim. Pre-registration over TDD.
Towards Smarter Scientific Search: Exa Joins the Scientific Agent Skills Library
Exa is now integrated into K-Dense's Scientific Agent Skills library, bringing neural web search and URL extraction to AI-driven scientific research.
Science is Multimodal: K-Dense and NVIDIA on Nemotron 3 Nano Omni
K-Dense is evaluating Nemotron 3 Nano Omni — NVIDIA's new open omni-modal model that unifies vision, audio, and language for — agentic scientific workflows.
Introducing mimeo and 80+ Mimeographs: Clone an Expert's Way of Thinking Into Your Agent
mimeo distills how great minds like Jobs, Buffett, and Wittgenstein reason into a SKILL.md or AGENTS.md your agent can load, with 80+ experts ready today.
The Sandboxed AI Scientist: Pairing NVIDIA OpenShell with Scientific Agent Skills
Pair NVIDIA OpenShell's policy-governed runtime with Scientific Agent Skills to run autonomous research agents that are highly capable and genuinely safe.
GPU-Accelerate Your Science: 58x Average Speedup with a Single Skill
The optimize-for-gpu skill rewrites CPU-bound Python for NVIDIA GPUs across 12 libraries in data science, ML, and simulation, with 58x average speedup.
Agent Skills: The Final Piece for AI-Powered Scientific Research
Agent Skills close the gap between raw AI intelligence and domain expertise, adding 140 open-source capabilities to AI scientific research workflows.