OpenAI has released GPT-6 Sol and GPT-6 Luna, 2 new models in its GPT-6 family. They sit below GPT-6 Astra, […]
Category: harness
NVIDIA Introduces SoL-Pi: Auto-Research Loops That Cut Coding Agent Token Traffic by Up to 49%
Coding agents now run for hours, not minutes. Every edit, test run and log read goes back into the model’s […]
AWS Strands Agents Team Releases Strands Harness: An Open-Source Agent Harness With 28% Lower Token Cost at Comparable Accuracy
Many developers find that an agent idea works inside Claude Code or Codex, then struggles once they rebuild it with […]
OpenClaw Releases 2026.9.5 With Atomic Updates, Plugin Hot Reload, Conversation Sharing, and Expanded GPT Live
OpenClaw is an open-source, MIT-licensed personal AI agent that you run on your own machines. Its Gateway connects models, tools, […]
Best Open-Source Agent Harnesses for Local LLMs in 2026
An agent is a model and a harness. The harness runs tools, holds state, manages permissions, and feeds context back […]
Agent-net Open Sources Webagent: A Go Harness That Turns Any Website into a Guarded AI Agent
Agent-net, the team building an agent-to-agent marketplace where AI agents discover, trust, and pay each other, has released Webagent, an […]
Agent Harness vs Agent Framework vs MCP: Which Layer Owns the Loop, State, Tools, Permissions, and Recovery
Harness, framework, and MCP get used interchangeably in agent architecture discussions. They are not the same thing. They sit at […]
Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks
An agent, in its simplest form, is an LLM calling tools in a loop. That loop works for short jobs. […]
Can LLMs Engineer Their Own Agent Harness? ByteDance Seed’s HarnessDev Says Only 34 of 64 Changes Generalize
An agent harness is the code around a model: execution loop, tools, context, state, recovery, and verification. Per the Terminal-Bench […]
Google AI Introduces EnvHarness: A Programmable Layer That Turns Static Agent Environments Into Adaptive Training Worlds
A team of researchers from Google Cloud AI Research, Washington University in St. Louis and UNC Chapel Hill has released […]
