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OpenClaw Enterprise: free MIT control plane for persistent AI agents

OpenClaw shipped OCE, a free MIT-licensed, self-hostable control plane (Docker/Kubernetes) for multi-tenant agent deploy with permissions, sandboxing, and audit—framed as “Kubernetes for agents.” The project started at OpenAI and now lives under the OpenClaw Foundation with Red Hat and Nvidia; OpenAI and Red Hat are already piloting it (still pre-1.0, aimed at internal pilots).

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CodeScene: agents refactor 300K-line C game for ~$4k in three weeks

CodeScene’s agents (mostly Claude Code + Opus) refactored a 300K line Street Fighter III decompilation in three weeks for $4k—2,903 commits, Code Health 5.6→10.0—guided by a CodeHealth MCP score and frame by frame replay checks; they also accumulated a 22 recipe refactoring playbook…

InfoQ

MLC ships TIRx Harness: open compiler harness for agentic GPU kernels

MLC’s TIRx Harness pairs a thin PTX level compiler with a kernel zoo, sync/race diagnostics, and a remote benchmark server so coding agents can iterate on GPU kernels without measurement noise. On Blackwell, agents hit family geo mean speedups from 1.33× to 6.84× vs baselines (KDA forward 2.94× over FlashKDA; backward 6.84× over FLA)…

MLC Blog

OpenAI Decisions API: Luna picks from answers you define in ~150ms

At DevDay (Sept 29), OpenAI opened a limited preview of Decisions API on Luna: you supply a question, finite answer set, and text/image context; it returns one choice with a confidence score in about 150ms—aimed at classification, routing, and picking an agent’s next step. Broad rollout is promised in the coming days; pricing and full docs are not public yet…

The New Stack

GPT-6.1 Sol now generally available in GitHub Copilot

GitHub is rolling out OpenAI’s GPT 6.1 Sol across Copilot Pro+ through Enterprise (VS Code, JetBrains, Copilot CLI, coding agent, Mobile, and more) at provider list rates. Early tests showed solid multistep coding with fewer tokens and steps than earlier GPT 6 / GPT 5.6 models; Business/Enterprise admins gate it via model policy…

GitHub Changelog

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