We are developing Long-Term Memory (LTM) systems to expand LLM agents' context window, enabling continual learning from interactions and environmental dynamics. Our goal is to create agents capable of lifelong learning, using every new experience to enhance future performance.
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We are open-sourcing Charlie Mnemonic, the first personal assistant (LLM agent) equipped with Long-Term Memory (LTM). The distinctive feature is the implementation of LTM, enabling it to learn from every interaction.
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At GoodAI, we are dedicated to pushing the boundaries of artificial intelligence. Our current focus is on the development of Large Language Model (LLM)-based agents with personalities that go beyond simple conversations.
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In a small and agile team inside GoodAI, we have set out to solve the challenges in drone operations.
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Today, GoodAI proudly introduces our new game: AI People Discover more on our official website: www.AIPeopleGame.com The Vision Our vision for AI People was ambitious but clear: to innovate within the gaming industry by making intelligent AI NPCs central to.
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A Standardization Release: The main purpose of the GoodAI LTM Benchmark has always been to serve as an objective measure for our progress in the development of agents capable of continual and life-long learning.
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At GoodAI, we are committed to developing agents that are capable of continual and life-long learning. As part of our efforts, we have previously open-sourced the GoodAI LTM Benchmark, a suite of tests aimed to evaluate the Long-Term Memory (LTM).
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