Introducing our work on general-purpose LLM Agents | GoodAI

LLM’s responses can be volatile and unreliable, as slight changes in the prompt can lead to significant variations in the output. Occasionally, the LLM may generate irrelevant or nonsensical information, necessitating ongoing improvements. Additionally, the context window has limited capacity, which can impact our agents’ understanding of complex s... See more

LLM agents rely on their Long-Term Memory (LTM) to store and retrieve crucial memories. Conversations, thoughts, plans, actions, observations, skills, and behaviors are all stored within a vector database. The LTM enables pre-processing and post-processing of memories, ensuring optimal retrieval. By considering factors such as context, recency, imp... See more