Meet DeepAgent: A smart helper that finds tools and remembers better

DeepAgent is a new kind of digital helper that can think on its own, try out tools, and keep working on long tasks without getting lost. It learns to discover tools when needed and then uses them to finish jobs, so it often solves things others fail. To avoid forgetting or getting overwhelmed, it packs past steps into smaller, useful notes — a process called memory folding — which acts like a tidy long-term memory so it don’t repeat mistakes. The system trains by practicing tool use in a controlled way, and that training makes its actions more steady and reliable. In many tests with different tasks, DeepAgent got better results than older helpers, both when tools are known and when new tools must be found. It’s not perfect yet, but this approach points toward assistants that can handle real tasks, for longer, and with less help from people. Try imagining a helper that learns, adapts, and remembers — and it actually keeps getting smarter as it works.

Read article comprehensive review in Paperium.net: DeepAgent: A General Reasoning Agent with Scalable Toolsets

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