[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @LangChainAI LangChain LangChain posts on X about llm, context engineering, redis, 6969 the most. They currently have XXXXXXX followers and 1238 posts still getting attention that total XXXXXX engagements in the last XX hours. ### Engagements: XXXXXX [#](/creator/twitter::1589007443853340672/interactions)  - X Week XXXXXX -XX% - X Month XXXXXXX +55% - X Months XXXXXXXXX -XX% - X Year XXXXXXXXX -XX% ### Mentions: XX [#](/creator/twitter::1589007443853340672/posts_active)  ### Followers: XXXXXXX [#](/creator/twitter::1589007443853340672/followers)  - X Week XXXXXXX +0.49% - X Month XXXXXXX +2.10% - X Months XXXXXXX +16% - X Year XXXXXXX +39% ### CreatorRank: XXXXXXX [#](/creator/twitter::1589007443853340672/influencer_rank)  ### Social Influence [#](/creator/twitter::1589007443853340672/influence) --- **Social category influence** [finance](/list/finance) [technology brands](/list/technology-brands) **Social topic influence** [llm](/topic/llm), [context engineering](/topic/context-engineering) #15, [redis](/topic/redis), [6969](/topic/6969), [arlo](/topic/arlo), [realtime](/topic/realtime), [kong](/topic/kong), [meritech capital](/topic/meritech-capital), [blog](/topic/blog), [automation](/topic/automation) ### Top Social Posts [#](/creator/twitter::1589007443853340672/posts) --- Top posts by engagements in the last XX hours "Attending #AWSSummitNYC Join @LangChainAI @Redis @Tavily and @thekonginc for a post-Summit happy hour just steps from the Javits Center. Connect with AI and cloud leaders and explore how Kong powers the API layer of the emerging AI Gateway stackalongside Redis real-time vector DB Tavilys RAG-native search and LangChains orchestration framework for LLM apps. πΈArlo Midtown Bar π July XX 5:30 - 8:00 pm π RSVP here:"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1944905481069437210) 2025-07-14 23:42:55 UTC 205.1K followers, 8544 engagements "Were excited to share that LangChain has been named to the 2025 Forbes AI XX list Produced in partnership with Sequoia and Meritech Capital the list spotlights the most promising privately-held AI companies in the world. Its an honor to be recognized alongside many of our customerssuch as Clay Mercor and Writerwho are shaping the future of AI"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1910743498082705441) 2025-04-11 17:15:24 UTC 205K followers, 24K engagements "How Exa built a production-ready deep research agent with LangGraph @ExaAILabs known for their fast high-quality search API just launched a deep research agent that delivers structured answers on the web -- no matter how complex the query. Powered by LangGraph they've built a multi-agent system with: πΉ Snippet-first reasoning which saves tokens by defaulting to search snippets before fetching full content πΉ Structured JSON output to ensure reliable schema-enforced responses πΉ Production observability that uses LangSmith to track token usage and caching for optimal performance Read about"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1940062841454960831) 2025-07-01 15:00:00 UTC 205K followers, 45.2K engagements "Context Engineering "Context engineering" is a key part of agent building. We review a few popular patterns for context engineering + explain how to use them w/ LangGraph. Blog: Video:"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1940440271126438118) 2025-07-02 15:59:46 UTC 205.1K followers, 81.3K engagements "ππ€ Agentic AI Browser A lightweight web automation agent built with LangGraph that achieves powerful automation through intelligent design and behavioral caching proving that efficiency beats raw compute power. Check it out here π"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1929221403963715596) 2025-06-01 17:00:00 UTC 204.9K followers, 28.3K engagements "ππ GraphRAG Chatbot Tutorial Build a powerful GenAI chatbot combining vector search and graph knowledge with SurrealDB and LangChain. This health symptoms demo shows how GraphRAG delivers more contextual AI responses. Learn to build your own GraphRAG chatbot π"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1944456866475671783) 2025-07-13 18:00:17 UTC 205.1K followers, 19.2K engagements "We're hosting an Office Hours event at our San Francisco office this Wednesday. Join us for breakfast and hang out with our team for a couple of hours. Bring your questions share your projects and we'd love to hear your feedback RSVP here:"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1944850931188949406) 2025-07-14 20:06:10 UTC 205.1K followers, 8076 engagements "Join @Redisinc and @LangChainAI on July XX for a webinar to learn how LangGraph + Redis make it easy to build AI agents with real memory. In the live webinar you'll get demos performance tips and hear from the engineers behind the integration. π RSVP here:"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1946317782741832020) 2025-07-18 21:14:54 UTC 205.1K followers, 10.4K engagements "π§ Reasoning support for your local models just dropped in langchain-ollama"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1942918243531780252) 2025-07-09 12:06:21 UTC 205K followers, 17.1K engagements "π€ Join us for an AI Agents Meetup on context engineering for agents LangChain's @RLanceMartin will break down common strategies for context engineering review how some popular agents implement these approaches and explain how LangGraph is designed to support them. RSVP:"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1945540110185107540) 2025-07-16 17:44:43 UTC 205.1K followers, 15.6K engagements "π€π Context Engineering Guide A comprehensive guide on evolving from prompt to context engineering. LangGraph's agent framework gives developers precise control over LLM execution and context management optimizing AI performance. Learn more at"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1941889880256106978) 2025-07-06 16:00:00 UTC 205.1K followers, 48.8K engagements "β¨ Today were thrilled to announce β¨ - The general availability of LangSmith (no more waitlist) - Our Series A fundraise led by @sequoia - Our beautiful new homepage and brand We've worked hard over the past few months to add requested features and ensure LangSmith can operate at scale. Were now confident in saying that it is the most complete platform for building production-grade LLM applications whether or not youre using LangChain. Learn more here: and sign up here: Our series A round will give us the capital needed to grow our open source and platform offerings. Working with"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1758169569364230542) 2024-02-15 16:41:05 UTC 205.1K followers, 510.2K engagements "Open Deep Research is here π We've open sourced one of the most powerful agent use cases. Built on LangGraph Open Deep Research: Uses a supervisor architecture to coordinate research sub-agents Supports your own LLMs tools and MCP servers Produces high-quality reports with scoped iterative deep research Whether you're comparing products or digging deep into a topic Open Deep Research adapts to the task. πΉ Watch an overview on Youtube: π Learn more in our blog: π Try it out on Open Agent Platform: π©π» Check out the code:"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1945514869224357904) 2025-07-16 16:04:25 UTC 205.1K followers, 78.3K engagements "π LangSmith and LangGraph Platform are now available on AWS Marketplace You can now self-host: LangGraph Platform Deploy and manage long-running stateful agents with 1-click deploys custom API endpoints and built-in memory. LangSmith The observability & evals platform to debug test and monitor any LLM app. We're excited to deepen our collaboration with AWS making it easier to build and deploy reliable AI agents at scale"  [@LangChainAI](/creator/x/LangChainAI) on [X](/post/tweet/1945538334312599602) 2025-07-16 17:37:39 UTC 205.1K followers, 7106 engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
LangChain posts on X about llm, context engineering, redis, 6969 the most. They currently have XXXXXXX followers and 1238 posts still getting attention that total XXXXXX engagements in the last XX hours.
Social category influence finance technology brands
Social topic influence llm, context engineering #15, redis, 6969, arlo, realtime, kong, meritech capital, blog, automation
Top posts by engagements in the last XX hours
"Attending #AWSSummitNYC Join @LangChainAI @Redis @Tavily and @thekonginc for a post-Summit happy hour just steps from the Javits Center. Connect with AI and cloud leaders and explore how Kong powers the API layer of the emerging AI Gateway stackalongside Redis real-time vector DB Tavilys RAG-native search and LangChains orchestration framework for LLM apps. πΈArlo Midtown Bar π July XX 5:30 - 8:00 pm π RSVP here:" @LangChainAI on X 2025-07-14 23:42:55 UTC 205.1K followers, 8544 engagements
"Were excited to share that LangChain has been named to the 2025 Forbes AI XX list Produced in partnership with Sequoia and Meritech Capital the list spotlights the most promising privately-held AI companies in the world. Its an honor to be recognized alongside many of our customerssuch as Clay Mercor and Writerwho are shaping the future of AI" @LangChainAI on X 2025-04-11 17:15:24 UTC 205K followers, 24K engagements
"How Exa built a production-ready deep research agent with LangGraph @ExaAILabs known for their fast high-quality search API just launched a deep research agent that delivers structured answers on the web -- no matter how complex the query. Powered by LangGraph they've built a multi-agent system with: πΉ Snippet-first reasoning which saves tokens by defaulting to search snippets before fetching full content πΉ Structured JSON output to ensure reliable schema-enforced responses πΉ Production observability that uses LangSmith to track token usage and caching for optimal performance Read about" @LangChainAI on X 2025-07-01 15:00:00 UTC 205K followers, 45.2K engagements
"Context Engineering "Context engineering" is a key part of agent building. We review a few popular patterns for context engineering + explain how to use them w/ LangGraph. Blog: Video:" @LangChainAI on X 2025-07-02 15:59:46 UTC 205.1K followers, 81.3K engagements
"ππ€ Agentic AI Browser A lightweight web automation agent built with LangGraph that achieves powerful automation through intelligent design and behavioral caching proving that efficiency beats raw compute power. Check it out here π" @LangChainAI on X 2025-06-01 17:00:00 UTC 204.9K followers, 28.3K engagements
"ππ GraphRAG Chatbot Tutorial Build a powerful GenAI chatbot combining vector search and graph knowledge with SurrealDB and LangChain. This health symptoms demo shows how GraphRAG delivers more contextual AI responses. Learn to build your own GraphRAG chatbot π" @LangChainAI on X 2025-07-13 18:00:17 UTC 205.1K followers, 19.2K engagements
"We're hosting an Office Hours event at our San Francisco office this Wednesday. Join us for breakfast and hang out with our team for a couple of hours. Bring your questions share your projects and we'd love to hear your feedback RSVP here:" @LangChainAI on X 2025-07-14 20:06:10 UTC 205.1K followers, 8076 engagements
"Join @Redisinc and @LangChainAI on July XX for a webinar to learn how LangGraph + Redis make it easy to build AI agents with real memory. In the live webinar you'll get demos performance tips and hear from the engineers behind the integration. π RSVP here:" @LangChainAI on X 2025-07-18 21:14:54 UTC 205.1K followers, 10.4K engagements
"π§ Reasoning support for your local models just dropped in langchain-ollama" @LangChainAI on X 2025-07-09 12:06:21 UTC 205K followers, 17.1K engagements
"π€ Join us for an AI Agents Meetup on context engineering for agents LangChain's @RLanceMartin will break down common strategies for context engineering review how some popular agents implement these approaches and explain how LangGraph is designed to support them. RSVP:" @LangChainAI on X 2025-07-16 17:44:43 UTC 205.1K followers, 15.6K engagements
"π€π Context Engineering Guide A comprehensive guide on evolving from prompt to context engineering. LangGraph's agent framework gives developers precise control over LLM execution and context management optimizing AI performance. Learn more at" @LangChainAI on X 2025-07-06 16:00:00 UTC 205.1K followers, 48.8K engagements
"β¨ Today were thrilled to announce β¨ - The general availability of LangSmith (no more waitlist) - Our Series A fundraise led by @sequoia - Our beautiful new homepage and brand We've worked hard over the past few months to add requested features and ensure LangSmith can operate at scale. Were now confident in saying that it is the most complete platform for building production-grade LLM applications whether or not youre using LangChain. Learn more here: and sign up here: Our series A round will give us the capital needed to grow our open source and platform offerings. Working with" @LangChainAI on X 2024-02-15 16:41:05 UTC 205.1K followers, 510.2K engagements
"Open Deep Research is here π We've open sourced one of the most powerful agent use cases. Built on LangGraph Open Deep Research: Uses a supervisor architecture to coordinate research sub-agents Supports your own LLMs tools and MCP servers Produces high-quality reports with scoped iterative deep research Whether you're comparing products or digging deep into a topic Open Deep Research adapts to the task. πΉ Watch an overview on Youtube: π Learn more in our blog: π Try it out on Open Agent Platform: π©π» Check out the code:" @LangChainAI on X 2025-07-16 16:04:25 UTC 205.1K followers, 78.3K engagements
"π LangSmith and LangGraph Platform are now available on AWS Marketplace You can now self-host: LangGraph Platform Deploy and manage long-running stateful agents with 1-click deploys custom API endpoints and built-in memory. LangSmith The observability & evals platform to debug test and monitor any LLM app. We're excited to deepen our collaboration with AWS making it easier to build and deploy reliable AI agents at scale" @LangChainAI on X 2025-07-16 17:37:39 UTC 205.1K followers, 7106 engagements
/creator/twitter::LangChainAI