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.
Recursive Self-Improvement and Fable 5.1: Why the AI Race Moved Past AGI Debates Into Applied Orchestration
While the industry argues over AGI definitions, leading labs have closed the development loop, putting current models to work building the next generation of neural…
Vercel Releases durable-harness for Fault-Tolerant AI Agent Execution in the Cloud
Vercel's open-source durable-harness framework protects coding agents from server crashes and preserves call state without racking up duplicate token costs.
TARSphere Tests MLLM-Powered Robots Across 360 Episodes in 30 Scenes
The TARSphere framework runs multimodal LLM agents in a physics simulator with NPC humans: 360 episodes, 30 scenes, 8 models, and frequent collisions and falls.
Researchers Propose PAPAV Framework: Only 3 of 64 Benchmarks Test Verification
LLM2Cert verifies 81 of 105 stability and safety certificates
Mistral Introduces Voxtral 3: 50-Language Recognition and Voice Agents for the Enterprise
250 subagents vs. 4 threads: why orchestration architecture matters more than a loud model name
Six Teams from UCSB, Stanford and J.P. Morgan Release an Agent Memory Benchmark
WorldMemArena tests how multimodal agents remember and use what they have seen in real interactions. The six-organization paper has been accepted to NeurIPS 2026.
MemT 1.0 builds memory into the model and aims at AI self-improvement
MemT 1.0 is out: memory is meant to be a built-in model capability, not an external add-on. A story about DeepSeek and an exhausted context sparked the discussion.
Diffusion LLM Agents Learn to Whisper in Vectors: +34 Points on QASC
A Team of AI Researchers Found a Linear Attention Design That Beat GDN2 at 1.3B
Agent4Sci: Claude Opus Beats Records on 20 Scientific Benchmarks by 10.4%
16 Requests, 262 Checks, 6.5 Minutes: Three Autonomous AI Agents Solve One Business Task Live
Heartbeat Thinking Teaches Voice Agents to Work While You're Still Talking: Latency Down 36.4%
A new scheme for voice agents starts reasoning and tool calls mid-speech. On FDBench v3, tool coverage rose by 16 percentage points and response latency fell by…
OpenDS-World: The Best AI Agent Solved 39% of Deep Search Tasks on the Live Web
The new OpenDS-World benchmark tested 12 top models on 200 live-web tasks. The best scored 39.0%; humans, across 1000 independent attempts, scored 21.1%.