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LangMem SDK = interesting library for agents memories I like the procedural memory approach : not common today in frameworks imo. Nice feedback loop and an useful one. Bravo to the team for the hard work 👏 https://t.co/Vv7iVFXltY https://t.co/1xbab3P6Vx
Excited to open-source some work! Memory is more than just chat history, RAG, or knowledge graphs: it’s about continuous learning from interactions. The SDK is still early; there's a lot of hill-climbing we can do; even so, many have found it useful "as-is" :) https://t.co/Sc4GMbU76I
🧠We've seen a lot of interest in long term memory and have spent a lot of time thinking about the best way to incorporate it into apps We've tried to distill some of these learnings into helper functions (and helper agents!) `pip install langmem` -> check it out https://t.co/FI7mfEc8cD
The LangMem SDK has been introduced as an open-source library designed to enhance long-term memory capabilities for AI agents. This new software aims to enable various agent functionalities by implementing different memory types, allowing agents to learn from their interactions. Developers are encouraged to explore the SDK, which can be installed via `pip install langmem`. The initiative has garnered interest from the AI community, with contributors emphasizing the importance of continuous learning beyond traditional memory methods such as chat history and knowledge graphs. Feedback from early users has been positive, highlighting the procedural memory approach as a unique feature not commonly found in existing frameworks.
