Openrig multi agent harness for coordinating claude code and codex
OpenRig is an open-source local harness for operating Claude Code and Codex sessions as a persistent multi-agent team.
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Dated, source-linked observations imported from the QWG AI archive.
These are evidence records, not finished editorial conclusions.
Across 1332 observations, most signals relate to model behavior, evaluation discipline, and real-world agent operations. Strong evidence clusters around tooling, memory, routing, and productized agent execution.
Teams are moving from experiments to systems. The emphasis is on verifiable behavior, operational safety, and measurable outcomes—especially in agent memory, evaluation rigor, and forward-deployed engineering.
OpenRig is an open-source local harness for operating Claude Code and Codex sessions as a persistent multi-agent team.
Podroid is a rootless Android application that boots an Alpine Linux virtual machine with its own kernel rather than using chroot or proot.
A Habr technical review examines NTC Modul’s NM6408 neural accelerator as an established inference platform rather than a general-purpose replacement for current AI GPUs.
Axios reports that OpenAI’s annualized revenue run rate is nearing $70 billion, citing sources familiar with the company’s financials.
Speakr is a public, self-hosted web application for transcribing audio recordings and turning them into organized, searchable notes.
A paper posted to arXiv as “The Pain Axis: LLMs Represent Self-Directed Harm and Act on It” reports extracting a linear pain-related activation direction from 25 open-weight models spanning five model families and 2B–72B parameters.
Univer Workspace is an open-source Office workspace from dream-num positioned for people and AI agents to create, collaborate, and review together.
Viggle released Qwen-Image-2.1-viggle-turbo v0.2.1, a runtime LoRA adapter for Qwen/Qwen-Image-2.1.
Google Research and Google DeepMind report an in-situ qualitative study of a persistent, proactive “Team Agent” deployed in the collaborative spaces of more than 20 teams at a large technology company.
A paper published on September 24 reports evidence for “Superposition Linearity” in LLMs: linearly combining representations from unrelated text streams can yield a next-token distribution that superposes the streams’ individual predictions.
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