initial pr (not deprecating yet, just getting ready for it): https://
github.com/hwchase17/lang
chain/pull/8092
… would love your thoughts
AGENTS
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LangChain Deprecation PR: Initial Implementation Discussion
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AIXI Bootstrap Nanotech from Biological Materials
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WOW. I'd expect AIXI to bootstrap nanotech out of "eye of newt and toad of frog" – figuring out what sort of proteins were probably around it, optimal tests to narrow down any further uncertainty, mixing them in ways that produced predictable shapes that assembled into a
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LangChain Community Apps: Chat-SQL and Pandas Agent
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Some AWESOME community contributions to the @langchain x @streamlit repo Chat-SQL App by @meshashank93
: https://
langchain-chat-sql.streamlit.app
Pandas Agent by @maraza24
: https://
langchain-chat-pandas.streamlit.app See those and more here: -

GoodAI Develops LLM-Driven Agents with Continual Learning
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At @GoodAIdev we're building agents with LLM-driven behaviors, continual learning, and long-term memory. In our in-house video game, agents interact, form relationships, and display emotions in an open-ended sandbox simulation. https://
goodai.com/introducing-ge
neral-purpose-llm-agents/
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LLM Agents Emulate Personalities With Long-Term Memory Evolution
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Our LLM agents have emulated personalities with goals and memories. Long-Term Memory is a foundation for continual learning, empowering our agents to evolve over time. 2/3
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Elon Musk vs LangChain: AI-Generated Rap Battle
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In case you've been wondering why we've been really into rap battles lately….@elonmusk vs @finkd – "Your site is a timeline, mine's a time line defier"
— Harrison Chase (@hwchase17) 21 juillet 2023
Music by @OnusFM, lyrics by @LangChainAI
More to come soon 🙂
Trace here: https://t.co/afZuFYYmn8 pic.twitter.com/8jPkCvzhZGIn case you've been wondering why we've been really into rap battles lately…. @elonmusk vs @finkd – "Your site is a timeline, mine's a time line defier" Music by @OnusFM, lyrics by @langchain More to come soon 🙂 Trace here: https://
smith.langchain.com/public/51193b2
3-b9cc-4513-b3bf-f2d11f97baef/r
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Bots Misrepresented as Autonomous Intelligent Entities
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For example, @willknight writes "But despite the well-known limitations of such bots, the robots’ replies were reported as if they were the meaningful opinions of autonomous, intelligent entities." >>
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Debugging tools for LangChain Streamlit Agent development lifecycle
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This is great. Really ties together the whole development/debugging life cycle
— Harrison Chase (@hwchase17) 20 juillet 2023
Would be cool to get these for some UIs in https://t.co/VSCgGpZULT as well! https://t.co/2JcJkK4OudThis is great. Really ties together the whole development/debugging life cycle Would be cool to get these for some UIs in https://
github.com/langchain-ai/s
treamlit-agent
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SHOW-1 and Showrunner Agents: Multi-Agent Simulations for Episodic Content
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To Infinity and Beyond: SHOW-1 and Showrunner Agents in Multi-Agent Simulations
— AK (@_akhaliq) 20 juillet 2023
paper: https://t.co/VKZ8BE7fqy
project page: https://t.co/WGoEDI0iMS
present our approach to generating high-quality episodic content for 2 IP’s (Intellectual Property) using large language models… pic.twitter.com/xzihuj0gUJTo Infinity and Beyond: SHOW-1 and Showrunner Agents in Multi-Agent Simulations paper: https://
fablestudio.github.io/showrunner-age
nts/static/pdfs/To_Infinity_and_Beyond_SHOW-1_And_Showrunner_Agents_in_Multi_Agent_Simulations.pdf
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project page: https://
fablestudio.github.io/showrunner-age
nts/
… present our approach to generating high-quality episodic content for 2 IP’s (Intellectual Property) using large language models -

AI Programmer: Autonomous Agent Team System Architecture
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This is awesome!!! AI programmer consisting of a team of autonomous agents
— Harrison Chase (@hwchase17) 20 juillet 2023
Here's a trace showing what's going on under the hood: https://t.co/xsPOHgWg0g
Really interesting to see how the repo structure is injected in the prompt https://t.co/s8cpP3JJJh pic.twitter.com/7GFTDIALqYThis is awesome!!! AI programmer consisting of a team of autonomous agents Here's a trace showing what's going on under the hood: https://
dev.smith.langchain.com/public/ac8fa5c
3-3073-412b-a36e-3b9259c9602e/r
… Really interesting to see how the repo structure is injected in the prompt