Memory for agents (conceptual video)

[@robboerman9378]

You guys are continuously pushing the boundaries of getting us developers the tools we can actually build useful stuff with. Great work again

[@lLvupKitchen]

I really find these conceptual videos from Harrison helpful for designing services. Keep it coming!

[@toi500]

This is a game changer 🔥

[@streamovie5601]

Great Job LangChain Team

[@kishorekumaru9]

Great work Langchain. Thank you! The long term memory is only for conversations or I can replace smaller level of rag in it?

[@JDWilsonJr]

Oy. LangChain is reading my mind.

[@halilibrahimhatun7114]

Excellent work. Thank you :)

[@KasunWijesekara]

nice work guys!

[@waneyvin]

👍👍👍great job! and I'm also looking forward to the planning part of the agent, is it possible to have some general planning features in langgraph?

[@kushamancoin7839]

Great job!

[@rodrigocotarelo7162]

But you will always be límited by the context window model, right?

[@RohanKumar-vx5sb]

you guys are fast

[@rohitagrawal769]

Great