Orchestration Layer
Focused guides, prompts, and workflows with a platform-specific visual system.
A new installer and onboarding flow on macOS, plus streamlined local model setup on Windows NVIDIA RTX PCs, get you from download to a working agent faster.
How a push for simpler setup and a first-class browser experience grew into OpenClaw 2.0.
A new long-lived release channel and a public maturity scorecard make it easier to choose OpenClaw features for critical workloads.
The lobster grows up: OpenClaw is now a non-profit, with a full-time team, world-class partners, and a mission to bring personal AI to everyone.
Orchestrate multiple AI models into a single workflow with Openclaw in under 10 minutes.
Review, revise, and apply proposed skills before they change how OpenClaw agents work.
Every ClawHub skill now ships with a Skill Card showing what it does and where it came from, and SkillSpector scans it for hidden instructions and agentic risks
OpenClaw is adding opt-in auto mode for Enterprise-ready host exec guardrails: policy runs first, low-risk misses get reviewed, and humans stay in the loop.
A release sweep across February through May shows faster agent turns, fewer dependencies, and a cleaner package shape.
The security roadmap for making OpenClaw a powerful personal assistant runtime users can understand, observe, and trust.
OpenClaw now runs OpenAI agent turns through the native Codex app-server harness by default, while bringing the lessons back to every model.
