Platform for long-running AI agents inspired by OpenAI's Assistants and Claude's agent tools: tasks accepted and queued, the agent loop in workers that save every step before the next, ownership through conditional updates and heartbeats so a crashed run resumes, step, token and time budgets, a tool gateway with per-task permissions, code in throwaway microVMs, approvals for risky actions, and live progress over open connections. A teaching design.
Build this system yourself on the canvas below. Add components, connect them, and run traffic simulations to see where your design holds up and where it breaks.
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Explore concept overviews, real-system examples, key tradeoffs, and interview talking points for each roadmap section.
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