AI Agents
AI agents are LLM-powered systems that don't just answer — they plan steps, call tools and drive a task to completion: writing code, searching the web, booking, analyzing. 2026 became the year of agents, from coding agents to autonomous researchers. This page gathers all our coverage of agentic AI: launches, protocols (MCP, A2A), reliability and real-world use.
SpatialScout: Best VLM Agent Builds Only 41.71% of a Room's 3D Map
The new SpatialScout benchmark tests whether VLM agents can explore scenes on their own and map objects. Claude Opus 5.5 scored 41.71%, and only 3.25% of targets…
Reverse-engineering expensive websites with AI: why half of the web's 'complex 3D' can be assembled in two evenings
Impressive promo sites with complex lighting and volumetric graphics used to require a month and a half of design studio work plus a dedicated WebGL developer.
Google Unveils PaperOrchestra: An AI System That Writes Scientific Papers Automatically
Researchers have built PaperOrchestra, a multi-agent system that automates the hard work of turning rough notes and experimental data into a finished scientific…
Hidden Details of Claude Opus 4.7: Trade-Offs, Tokenization and a New Personality
Moonshot releases open Kimi K2 Thinking: 300 tool calls in a row
Moonshot releases Kimi K2.5: a swarm of 100 subagents and 1500 tool calls
Moonshot Releases WorldVQA: 3500 Questions About the World That Trip Up Models
Kimi launches Agent Swarm: up to 100 subagents and 1,500 tool calls
Moonshot built a swarm mode into Kimi K2.5: the model hires up to 100 subagents on its own, makes more than 1500 tool calls and, the company says, works 4.5x faster.
Moonshot open-sources Kimi K2.6: 300 sub-agents and 13 hours of autonomous coding
Moonshot open-sourced Kimi K2.6: the model spent 13 hours tuning an exchange engine, sped up Zig inference from 15 to 193 tokens/s, and scales its swarm to 300…
Ant Group releases Ling-3.1-flash: agent runs for 10+ hours straight
Codex Climbed Out of Its Slump Under Tibo: Every Chronicles a Year-Long Comeback
IF-MAP Finds Which Agents to Improve: Twice the Accuracy Gain
ID-TAP finds the right persona for an LLM agent in ten pairwise comparisons
Reflection releases Beam: 501B parameters and 30 points on the Intelligence Index
Reflection's first model is the second-best American open-weights model: 30 points on the Artificial Analysis Intelligence Index, using half the tokens of K2…
ERB: AI Agents Build Their Own Model Tests and Match the Reference Benchmarks in 75% of Pairs
The EvalResearchBench benchmark tested 9 research agents. Their evaluators rank models the same way as the target benchmarks in 75% of pairs, against a ceiling of…