Primitive captures your decisions as you build, shares them with your team, and holds your agents to them.
Equipping agents for the real world with Agent Skills
Discover how Anthropic builds AI agents with practical capabilities through modular skills, enabling them to handle complex real-world tasks more effectively and reliably.
Agentic Search for Dummies — Benjamin Anderson
A simple, effective baseline for building AI search agents.
Agentic AI, explained | MIT Sloan
The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.
Agent Skills Overview - Agent Skills
A standardized way to give AI agents new capabilities and expertise.
Curated skills for AI agents · skilld
A curated registry of agent skills for the npm packages and GitHub repos you actually use. One install command, every agent. Get notified when they change.
Writing effective tools for AI agents—using AI agents
Writing effective tools for AI agents—using AI agents
Agent Skills
AI coding agents take the shortest path to done, which usually means skipping the specs, tests, and reviews that make software reliable at scale. Agent Skill...
Introduction to Agents
Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.
It's Time To Start Preparing APIs for the AI Agent Era
With agentic AI, integrations are no longer static and immutable concepts.
Agent Plugins
A portable package format for reusable components that extend AI agents.
Angels-on-the-Shoulder: 5 AI Tools for Better Decisions
Five “angels-on-the-shoulder” AI designs that help people make better decisions.
The Phoenix Architecture
Generative AI coding demands what we've always known: modularity, clear boundaries, disposable components. Principles that scaled human teams are now table stakes. Here, we make the implicit explicit
SkillMD.ai - Discover & Create Agent Skills
The open directory for agent skills. Discover, create, and share SKILL.md files for AI coding assistants.
pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
letta-ai/letta-code
Stateful agents that are like people, with memory, identity, and the ability to learn and adapt
Agentic AI Needs a Systems Theory
The endowment of AI with reasoning capabilities and some degree of agency is widely viewed as a path toward more capable and generalizable systems. Our position is that the current development of agentic AI requires a more holistic, systems-theoretic perspective in order to fully understand their capabilities and mitigate any emergent risks. The primary motivation for our position is that AI development is currently overly focused on individual model capabilities, often ignoring broader emergent behavior, leading to a significant underestimation in the true capabilities and associated risks of agentic AI. We describe some fundamental mechanisms by which advanced capabilities can emerge from (comparably simpler) agents simply due to their interaction with the environment and other agents. Informed by an extensive amount of existing literature from various fields, we outline mechanisms for enhanced agent cognition, emergent causal reasoning ability, and metacognitive awareness. We conclude by presenting some key open challenges and guidance for the development of agentic AI. We emphasize that a systems-level perspective is essential for better understanding, and purposefully shaping, agentic AI systems.
