







From Pipelines to Networks: Understanding AI Agent Architectures
The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
This survey paper examines the recent advancements in AI agent implementations, with a focus on their ability to achieve complex goals that require enhanced reasoning, planning, and tool execution capabilities. The primary objectives of this work are to a) communicate the current capabilities and limitations of existing AI agent implementations, b) share insights gained from our observations of these systems in action, and c) suggest important considerations for future developments in AI agent design. We achieve this by providing overviews of single-agent and multi-agent architectures, identifying key patterns and divergences in design choices, and evaluating their overall impact on accomplishing a provided goal. Our contribution outlines key themes when selecting an agentic architecture, the impact of leadership on agent systems, agent communication styles, and key phases for planning, execution, and reflection that enable robust AI agent systems.

The Anatomy of an Agent Harness
Learn how agent harnesses transform AI models into autonomous work engines. Explore core components: filesystems, sandboxes, and memory.


It's Time To Start Preparing APIs for the AI Agent Era
With agentic AI, integrations are no longer static and immutable concepts.

Reimagining Web Infrastructure for the Age of AI Agents
How core internet components will transform for an agent-driven web and the new opportunities for startup founders

Reimagining Web Infrastructure for the Age of AI Agents
How core internet components will transform for an agent-driven web and the new opportunities for startup founders

Project Think: building the next generation of AI agents on Cloudflare
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.

Agentic Search for Dummies — Benjamin Anderson
A simple, effective baseline for building AI search agents.

Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents

Agent Plugins
A portable package format for reusable components that extend AI agents.

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.

The argument against AI agents and unnecessary automation
Opinion: OpenAI's Operator a solution in search of a problem

AI Agents: Key Concepts and How They Overcome LLM Limitations
An AI agent is an autonomous software entity that is often used to augment a large language model. Here's what developers need to know.

Prime Intellect - The Open Stack for Self-Improving Agents
The compute and infrastructure platform for you to train, evaluate, and deploy your own agentic models.

Prime Intellect - The Open Stack for Self-Improving Agents
The compute and infrastructure platform for you to train, evaluate, and deploy your own agentic models.
