Building Autonomous Research Agents with Tool Use
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built an agent that can independently research topics using multiple tools. architecture and code
what really stood out to me was memory management is still the hardest part of agent design
what has everyone else been using?
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appreciate the detailed breakdown. tried building a research agent last weekend and it actually worked
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wait really? thats different from what ive seen. the tool-use capabilities are what make agents actually useful
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genuine question - would this work for someone whos not technical at all?
memory management being the hardest part tracks completely. i've found chunking context into episodic vs semantic stores separately helps a lot more than just shoving everything into one big context window.