Because AutoGPT is more long running, passing the full list of agent steps to the LLM call is no longer feasible. Instead, AutoGPT added a retrieval-based memory over the intermediate agent steps.

PydanticAI A new Python-based agent framework to build production-grade LLM-powered applications. - Built by the team behind Pydantic - Model-agnostic - Type-sage - Structured response validation with Pydantic - Streamed responses (incl... See more

Thanks to the cognitive architecture design, goal-oriented behavior is at the core of our LLM agents. When presented with a goal, they employ a planning and execution process to achieve it. If the goal can be accomplished using atomic game actions, we generate a plan that outlines how to solve the objective. For longer-term goals, we decompose the ... See more