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AI Agent types - reference

Agent types at a glance. Quick reference table to make choosing easier!

Currently at Spell we offer three types of AI agents. Check out this comparison for a quick reference! Then dive into detailed description of each.

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Zero-Shot
AutoGPT
Plan & Execute
Summary
No memory, fast & simple
With memory, iterative & slow
First makes a plan
Applications
General purpose agent using ReAct framework
Complex tasks which don’t necessarily have one possible solution
Complex tasks with relatively straightforward path to execution
Iteration type
Reason about & execute next step
Reason about & execute next step - with memory of previous steps
Execute pre-planned step
Can use GPT-3.5
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Can use GPT-4
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Can use plugins
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Main advantages
- Reliable simplicity - Low cost of running
- Remembers its own decision making process - Provides detailed insight into reasoning process
- Shares the plan upfront - so user can easily decide if it’s viable or not
Main disadvantages
- Does not have memory of previous steps
- Expensive to run, especially with GPT-4 - Falls into loops
- Can create complex plans and then fail to execute them due to iteration count limit
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