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this is really cool. agents experimenting with their own memory design
Can AI agents design better memory mechanisms for themselves? Introducing Learning to Continually Learn via Meta-learning Memory Designs. A meta agent automatically designs memory mechanisms, including what info to store, how to retrieve it, and how to update it, enabling agentic
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View on GitHublots of big things in the new deepagents CLI!
deepagents-cli==0.0.20 is released! 🙉 this is a massive leap forward, bringing many long requested features: - interactive model switcher + support for arbitrary chat models - you can now use ANY large language model that supports tool calling, and switch mid-thread. -
View quoted postRT Sydney Runkle Re @masondrxy is cranking on the deepagents CLI!! especially excited about the model switcher and /remember commands that deepagents offers Original tweet: https://x.com/sydneyrunkle/status/2021308916198465865
deepagents-cli==0.0.20 is released! 🙉 this is a massive leap forward, bringing many long requested features: - interactive model switcher + support for arbitrary chat models - you can now use ANY large language model that supports tool calling, and switch mid-thread. -
View quoted postData scientists when 'AI evals' turns out to be - measuring fuzzy signals - metric design - sampling - data pipelines
RT Brace sandboxes are a key component in modern agents, great article on the different ways to use them Original tweet: https://x.com/BraceSproul/status/2021307729013276869
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