MiniAGI is a lightweight autonomous agent that operates with GPT-3.5-Turbo or GPT-4 models. It's built around a carefully crafted prompt system and includes a basic set of tools, allowing it to perform tasks while showing its reasoning process (chain-of-thoughts).
The system features short-term memory capabilities with summarization to maintain context, and it can engage in inner monologue β meaning it can "think through" problems internally. It also has self-criticism abilities, allowing it to evaluate and potentially improve its own responses and decisions.
MiniAGI demonstrates moderate autonomy through its integration with GPT models for task execution, chain-of-thought reasoning capabilities, and self-criticism mechanism that allows iterative improvements. However, its autonomy is constrained by dependence on predefined prompts/tools (code analysis via Langchain integrations), lack of long-term memory persistence between sessions, and requirement for explicit human configuration of API credentials/environment variables before operation.
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