Advancing Agent Architectures: Beyond Shallow LLM Implementations
By
saikatsg
A baker's-dozen of insight crammed into one ring.
Summary
The article discusses the limitations of simple agent architectures using LLMs (Large Language Models) and introduces solutions like planning tools, sub-agents, file system access, and detailed prompts to overcome these limitations. It highlights applications such as 'Deep Research', 'Manus', and 'Claude Code' as examples of more advanced agent implementations.
Key quotes
· 3 pulledUsing an LLM to call tools in a loop is the simplest form of an agent.
This architecture, however, can yield agents that are 'shallow' and fail to plan and act over longer, more complex tasks.
Applications like 'Deep Research', 'Manus', and 'Claude Code' have gotten around this limitation by implementing a combination of four things: a planning tool, sub agents, access to a file system, and a detailed prompt.
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