GPT-6 Astra's multi-agent architecture: shared state is the key
A video breaks down Astra's eight-step flow for GitHub tasks, where coordination, planning, research, build, and verification run in parallel lanes and all returns feed into one running state.
OPENAI JUST LAUNCHED GPT-6 ASTRA AND THE AGENT ARCHITECTURE IS F...CKING DIFFERENT one GitHub task now gets split across planning, research, execution, and verification while Astra keeps every return inside the same running state step 1 → the request enters the coordinator first, so Astra decides how the work should be divided before any agent starts touching the repo step 2 → the task splits into dedicated lanes for planning, research, build, and verification instead of forcing one agent to carry the entire workflow step 3 → research inspects the repo and returns useful context, so later actions start from actual project state instead of guessing what is inside the codebase step 4 → the build lane executes changes through tools and runners while the other lanes can keep working around the same task step 5 → every return feeds back into shared state, so discoveries, actions, and corrections become available to the rest of the swarm without restarting the job step 6 → routing, permissions, and budgets control what each lane can do, keeping specialized agents bounded instead of giving every agent unrestricted access step 7 → verification checks unit, integration, safety, and quality paths before work is allowed to move toward the final result step 8 → Astra merges the returns back into one execution path, so parallel work becomes a coordinated result instead of four isolated agent outputs i think the shared return path is the part people will underestimate most parallel agents matter much less if the system cannot keep their work synchronized
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