Durable Agents is a framework for building AI assistants that can reliably complete complex tasks over time. Instead of giving up when something goes wrong, these agents can recover from failures, pause and resume their work, and even spawn helper agents to tackle parts of a problem. The project includes a ready-to-run demo that shows how this works using pre-recorded examples, so you can see the system in action before connecting any real AI service. Once you're ready, you can build your own durable agent by combining different capabilities—like file handling, error recovery, and subagent spawning—and the framework handles all the complexity of keeping everything running smoothly.
How It Works
Someone tells you about agents that can write their own workflows and handle failures gracefully.
You run a simple command and immediately see a working example without needing any special setup.
Watch pre-recorded examples show you how the agent handles tasks, subagents, and retries.
Use your own AI to interact with the agent and see what it can do with real intelligence.
You see how the agent breaks tasks into smaller pieces, spawns helper agents, and keeps going even when something fails.
You combine different capabilities like file handling, error recovery, and subagent spawning into one agent.
Your agent handles failures automatically, can pause and resume, and spawns helpers when needed—all without losing track of what it was doing.
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