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.
Agentic Legal RAG Challenge 2026: How Sparks of intelligence Tested the Limits of Agentic RAG
The Sparks of intelligence team analyzed their experience in the Agentic Legal RAG Challenge 2026 and demonstrated why chunking, search, gro
HKUDS Detailed OpenSpace — Self-Evolving Skill Engine for AI Agents
HKUDS demonstrated how OpenSpace transforms AI agents into self-learning systems: the engine preserves skills after each task, reuses them,
China bans Manus co-founders from leaving country amid Meta startup deal
Nvidia introduced PivotRL — a framework for AI agents with 4x savings in rollout steps
MCP LLM-Agent in Fusion360: First Vibe-Design Test on a Wooden Staircase
Claude Code Raised Legal RAG to 0.791, but ARLC 2026 Final Hit Scaling Limits
MolmoWeb-4B by Ai2: A Web Agent That Sees Websites Like Humans, Without HTML Parsing
Ai2 released MolmoWeb-4B — an open-source multimodal web agent that controls a browser using only screenshots, without access to HTML or DOM
Bootik: a console AI agent for servers that runs locally and doesn't require much memory
Bootik is a lightweight console AI agent for SSH operations: it launches on demand, understands server context, and is designed for local mo