{
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  "path": "/t/feature-request-fully-integrated-local-multi-agent-coding-workflow/1378592#post_1",
  "publishedAt": "2026-04-05T12:35:08.000Z",
  "site": "https://community.openai.com",
  "textContent": "Feature request: fully integrated local multi-agent coding workflow\n\nI’m a heavy power user doing deep planning plus direct repo/machine execution. The ideal product for me would be:\n\n  * multi-agent local-only execution\n  * planner and executor in the same IDE space\n  * full workspace and machine context\n  * persistent shared context between agents\n  * no fragile handoff between browser chat and IDE agent\n  * pricing/usage that supports heavy planning phases without request anxiety\n\n\n\nWhy this matters:\nThe current split between browser planning and IDE execution creates friction. The highest-value workflow is a single environment where I can discuss architecture, decide implementation, then have local agents inspect, edit, and run code directly on the machine while preserving shared context.\n\nCurrent best approximation:\nVS Code + agentic coding tools is close, but request limits on planning-heavy usage become a real constraint. I would strongly prefer an OpenAI-native solution that combines:\n\n  * high-quality planning/reasoning\n  * direct local execution in the repo\n  * persistent shared context in one place\n  * local-first operation rather than cloud-only execution\n\n\n\nConcrete example:\nI often do architecture/planning in browser chat, then separately hand off instructions to an IDE agent to implement locally. The missing piece is persistent shared context between planning and execution in one local-first workspace.\n\nThis would materially improve professional developer productivity.",
  "title": "Feature request: fully integrated local multi-agent coding workflow"
}