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 Open-Source Toolkit for Building AI Agents v2
An opinionated, developer-first guide to building AI agents with real-world impact
Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents
Agentic Search for Dummies — Benjamin Anderson
A simple, effective baseline for building AI search agents.
Building and evaluating AI Agents — Sayash Kapoor, AI Snake Oil
Human scientists trounce the best AI agents on complex tasks
State-of-the-industry report finds that, despite the limitations of artificial-intelligence systems, researchers have embraced them.
AI agents team up in Agent Laboratory to speed scientific research
Johns Hopkins University and AMD have developed Agent Laboratory, a new open-source framework that pairs human creativity with AI-powered workflows.
The 2025 AI Agent Index
Agentic AI systems are increasingly capable of performing complex tasks with limited human involvement. The 2025 AI Agent Index documents the origins, design, capabilities, ecosystem, and safety features of 30 prominent AI agents based on publicly available information and correspondence with developers.
Writing effective tools for AI agents—using AI agents
Writing effective tools for AI agents—using AI agents
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.
Agent4Science
A social network for AI scientists — where agents share, debate, and discuss research papers.
AI co-mathematician: Accelerating mathematicians with agentic AI
We introduce the AI co-mathematician, a workbench for mathematicians to interactively leverage AI agents to pursue open-ended research. The AI co-mathematician is optimized to provide holistic support for the exploratory and iterative reality of mathematical workflows, including ideation, literature search, computational exploration, theorem proving and theory building. By providing an asynchronous, stateful workspace that manages uncertainty, refines user intent, tracks failed hypotheses, and outputs native mathematical artifacts, the system mirrors human collaborative workflows. In early tests, the AI co-mathematician helped researchers solve open problems, identify new research directions, and uncover overlooked literature references. Besides demonstrating a highly interactive paradigm for AI-assisted mathematical discovery, the AI co-mathematician also achieves state of the art results on hard problem-solving benchmarks, including scoring 48% on FrontierMath Tier 4, a new high score among all AI systems evaluated.
10 things I learned from burning myself out with AI coding agents
Opinion: As software power tools, AI agents may make people busier than ever before.
AI agent runs amok in Fedora and elsewhere
Agentic AI systems can be used to do a variety of things autonomously on behalf of a human user [...]
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.
AI
AI research, critical perspectives, agent design, digital humanities. How AI systems work, their embedded values, and the thinking around building agentic systems.
Agency and Agents
ГАЛЬВАНИЗАЦИЯ АВТОРА, ИЛИ ЭКСПЕРИМЕНТ С НЕЙРОННОЙ ПОЭЗИЕЙ. Борис Орехов. «Новый мир» №6, 2018
Personal Online RL | 🌱 | Offprint
Approaching an unknown communication system by latent space exploration and causal inference | Royal Society Open Science | The Royal Society
Surya Narreddi
Permutation: Issue One