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# Codex

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  1. OpenAI

    Codex gains a ModRetro Chromatic plugin: prompt a Game Boy Color game in chat, then flash it to a cartridge

    ModRetro released a Chromatic plugin for Codex that lets the model drive a set of Game Boy Color development tools from chat and turn a prompt into a playable game. The plugin exposes animation, maps, ROM playtesting, on-screen annotation and button-sequence testing as tools the model can call, and it can write the compiled ROM to a rewritable cartridge on the Chromatic handheld. In the example, the top-down adventure game Lodge Podge was generated from a prompt and then revised on request to change the character's build and the materials needed for construction.

  2. Cloudflare

    Codex agent loop moves into a Cloudflare Durable Object: conversations, files and finished steps survive a restart

    Cloudflare published an experimental Agents SDK example that adapts Codex's Rust turn-processing code to WebAssembly and runs the agent loop inside a Durable Object. Previously an interrupted agent could not easily carry its conversation and tool results forward; the example uses Tasks to journal model calls and tool execution, Sessions to store conversation history and compact context, Streams to store ordered events for replay after reconnecting, and Workspace for persistent file tools, so completed steps reuse recorded results after a restart and interrupted steps can run again.

  3. Helical

    Biological foundation models move into Codex: natural-language prompts run perturbation experiments, with free compute for academics

    Helical released a Model Context Protocol (MCP) integration for OpenAI's Codex that lets researchers call biological foundation models from the agentic tools they already use, and use or post-train those models on their own data through natural-language instructions. Using such models previously required researchers to configure infrastructure and build the workflows for an experiment. One model available at launch is PerturbGen, developed at the Wellcome Sanger Institute to predict how perturbations reshape cellular trajectories, and Helical with Nebius is offering free compute credits that academic researchers can request.

  4. arXiv

    Dynamic concurrency in three frontier coding agents: limited long-horizon gains, token use rising to 1.41–3.31 times sequential

    This work presents the first systematic study of native dynamic concurrency in Codex, Claude Code, and Kimi Code, running controlled concurrent-versus-sequential comparisons on 354 tasks from four long-horizon benchmarks and one bounded benchmark for 2,124 executions; concurrency helps most on long-horizon tasks and little or negatively on bounded ones, raises token use to 1.41–3.31 times sequential, and yields a taxonomy of four main categories, 13 subcategories, and 28 concurrency failure patterns.

  5. OpenAI News

    Proaction boosts sales 60% and saves 75+ hours a month with Codex

    This enterprise case article describes how fleet-management software company Proaction enabled non-technical co-founder Colin Knudsen to use Codex to generate customized HTML demo environments from sales call recordings, emails, and spreadsheets, which he estimates saves 40–60 engineering hours and 25–33 personal hours per month and lifts the share of deals moving from first contact into solution development by 50%–60%, while the company also builds OpenAI-model agents that execute day-to-day fleet work for customers.

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