[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 ai, llm, context engineering, cursor the most. They currently have XXXXXXX followers and 1603 posts still getting attention that total XXXXXX engagements in the last XX hours. ### Engagements: XXXXXX [#](/creator/twitter::1589007443853340672/interactions)  - X Week XXXXXXX -XX% - X Month XXXXXXX -X% - X Months XXXXXXXXX -XX% - X Year XXXXXXXXX -XX% ### Mentions: XX [#](/creator/twitter::1589007443853340672/posts_active)  - X Week XX -XX% - X Month XXX +187% - X Months XXX +49% - X Year XXX +28% ### Followers: XXXXXXX [#](/creator/twitter::1589007443853340672/followers)  - X Week XXXXXXX +0.53% - X Month XXXXXXX +2.10% - X Months XXXXXXX +13% - X Year XXXXXXX +36% ### CreatorRank: XXXXXXX [#](/creator/twitter::1589007443853340672/influencer_rank)  ### Social Influence **Social category influence** [technology brands](/list/technology-brands) [social networks](/list/social-networks) [stocks](/list/stocks) [vc firms](/list/vc-firms) [events](/list/events) [finance](/list/finance) **Social topic influence** [ai](/topic/ai), [llm](/topic/llm) #227, [context engineering](/topic/context-engineering), [cursor](/topic/cursor), [slack](/topic/slack) #97, [$125m](/topic/$125m), [cloudflare](/topic/cloudflare), [capitalg](/topic/capitalg), [trust](/topic/trust), [future](/topic/future) **Top accounts mentioned or mentioned by** [@openai](/creator/undefined) [@mongodb](/creator/undefined) [@anthropicai](/creator/undefined) [@hwchase17](/creator/undefined) [@neo4j](/creator/undefined) [@pinecone](/creator/undefined) [@redisinc](/creator/undefined) [@elastic](/creator/undefined) [@gregkamradt](/creator/undefined) [@fpingham](/creator/undefined) [@replit](/creator/undefined) [@rlancemartin](/creator/undefined) [@ollama](/creator/undefined) [@databricks](/creator/undefined) [@huggingface](/creator/undefined) [@trychroma](/creator/undefined) [@langchaindev](/creator/undefined) [@thefireworksai](/creator/undefined) [@ollamaai](/creator/undefined) [@tavilyai](/creator/undefined) **Top assets mentioned** [Cloudflare, Inc. (NET)](/topic/cloudflare) ### Top Social Posts Top posts by engagements in the last XX hours "We raised $125M to build the platform for agent engineering. Thank you to our investors (@IVP @sequoia @benchmark @AmplifyPartners @SapphireVC @CapitalG and more) for their belief in us and to our customers like @Replit @clay @TrustVanta @Cloudflare @Rippling @Cisco @Workday and many more for their trust. Read more here about what this means for the future of building agents:" [X Link](https://x.com/LangChainAI/status/1980678921839603948) 2025-10-21T16:53Z 225.5K followers, 157.9K engagements "🧠 OpenMemory: AI Memory Engine An open-source memory system enhancing LLM apps through LangGraph integration. Features structured memory with 2-3 faster recall and XX lower costs than hosted solutions. Check it out 🔍" [X Link](https://x.com/LangChainAI/status/1982114934017458249) 2025-10-25T16:00Z 225.5K followers, 82.4K engagements "Understanding context engineering - and how it can fail - is crucial for building reliable agents. We wrote up some strategies for using a filesystem to address common challenges with context engineering: - Too many tokens: use the filesystem as a scratch pad instead of keeping every note in the message history - Large context needed for a task: pull in context as needed using the filesystem to make and follow a plan - Finding niche information: allow agents to search the filesystem for context with glob and grep - Learning over time: update the system prompt using feedback from a user Full" [X Link](https://x.com/LangChainAI/status/1992291995247862242) 2025-11-22T18:00Z 225.5K followers, 89.1K engagements "🔍 PeopleHub: AI-Powered LinkedIn Intelligence Made by the LangChain Community Open-source LinkedIn intelligence by Meir Kadosh. Uses LangGraph 1.0.1 to orchestrate automated research workflowsprofile analysis parallel scraping and AI-generated reports. Check it out on GitHub:" [X Link](https://x.com/LangChainAI/status/1995160900253503669) 2025-11-30T16:00Z 225.5K followers, 43.7K engagements "☁🤖 Serverless LangChain Agent Deployment on AWS Made by the LangChain Community Deploy LangChain agents on AWS Lambda using LangGraph's DynamoDB checkpoints for stateful conversations in serverless. By AWS Community Builder Thomas. 📺 Watch the tutorial:" [X Link](https://x.com/LangChainAI/status/1995191095773581395) 2025-11-30T18:00Z 225.5K followers, 15.1K engagements "📊 Evaluating DeepAgents CLI on Terminal Bench 2.0📊 The DeepAgents CLI is a coding agent built on top of the Deep Agents SDK offering an interactive terminal interface with shell execution filesystem tools and persistent memory. How well does it actually perform on real-world tasks We put it to the test In this blog post we cover: ⚙ What the DeepAgents CLI is 📈 How to run isolated evaluations with sandboxed agent execution 🔢 The results from evaluating performance across Terminal Bench XXX tasks - scores of XXXX% and XXXX% (mean: 42.65%). This baseline is on par with other implementations" [X Link](https://x.com/LangChainAI/status/1997006806904984002) 2025-12-05T18:15Z 225.5K followers, 20.4K engagements "Deep Agents represent a shift in how AI systems operate unlike simple chatbots or basic RAG applications these agents run for extended periods execute multiple sub-tasks and make complex decisions autonomously. In this webinar we'll dive into practical approaches for gaining visibility into Deep Agent behavior and measuring their effectiveness using LangSmith. RSVP here:" [X Link](https://x.com/LangChainAI/status/1997433843784290670) 2025-12-06T22:31Z 225.6K followers, 13.6K engagements "🚀 Deep Agents: The Weekly Roundup🚀 Dive into our new resources to help you build Deep Agents capable of handling complex long-running tasks. ✏ Context engineering is key to reliable agents. Deep agents need detailed context and prompts and filesystems can help manage that context. We wrote up some strategies for using filesystems to improve agent reliability. Read the blog: 🤷♀ What are Deep Agents -We break down the key things to know when youre building an agent to handle more complex tasks. Watch the video: ⚽ Using Skills with Deep Agents CLI -Agent skills are now available in the Deep" [X Link](https://x.com/LangChainAI/status/1994478738265010468) 2025-11-28T18:49Z 225.1K followers, 22.6K engagements "Are you at AWS re:Invent this week Harrison Chase will be at our re:Invent booth (#524) on Dec 3rd (12-1pm) for a meet and greet. Stop by and let's talk shop Meet us at AWS re:Invent. Book a meeting schedule a demo or just stop by to say" [X Link](https://x.com/LangChainAI/status/1995963337621078306) 2025-12-02T21:08Z 225.1K followers, 5992 engagements "✨ Today were thrilled to announce ✨ - 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" [X Link](https://x.com/LangChainAI/status/1758169569364230542) 2024-02-15T16:41Z 225.5K followers, 510.6K engagements "@BRAKING_NEWS_AI Thanks for checking it out - you can configure an MCP server for Agent Builder in your LangSmith workspace. Docs here:" [X Link](https://x.com/LangChainAI/status/1995926527192825997) 2025-12-02T18:42Z 225.3K followers, XXX engagements "How are the best teams actually building with AI coding agents Join Harrison Chase and Jason Ginsberg (Head of Engineering Product at Cursor) for a fireside chat on: - Coding agent UX - How teams are building with Cursor - Trends heading into 2026 This will be an in-person event in San Francisco" [X Link](https://x.com/LangChainAI/status/1996639912020545718) 2025-12-04T17:57Z 225.4K followers, 7419 engagements "Calling all devs and AI builders: help shape the 2025 State of Agent Engineering report. Share how you're building agents your agent architectures evals you're running model choices and biggest blockers to production. We'll analyze responses from the community and publish the insights. Take the survey here here (with a chance to win LangChain swag):" [X Link](https://x.com/LangChainAI/status/1990815430064414954) 2025-11-18T16:12Z 225.5K followers, 41.5K engagements "Since launching LangSmith Agent Builder teams have built thousands of productivity agents that automate real work including: - Customer and market research agents - Agents to create update and report on issues in tools like GitHub and Linear - Email and Slack assistants to summarize and draft messages You can spin up agents like these with a simple prompt. Try it free:" [X Link](https://x.com/LangChainAI/status/1996265192213365080) 2025-12-03T17:08Z 225.5K followers, 15K engagements "Evaluating Deep Agents: Here's what we learned Deep agents can't be evaluated like simple LLM tasks. After building and testing X production agents over the past few months we learned that evaluating deep agents requires: X. Bespoke test logic for each datapoint each test case has its own success criteria X. Single-step evals to catch regressions at individual decision points X. Full turn evals to validate end-to-end agent behavior X. Multi-turn evals that simulate realistic user interactions X. Clean reproducible test environments 👉 Read the full blog post on evaluation patterns for deep" [X Link](https://x.com/LangChainAI/status/1996276393068617829) 2025-12-03T17:52Z 225.5K followers, 54.8K engagements "Many teams spend hours every week doing research sales marketing recruiting product. Its necessary but time consuming. With LangSmith Agent Builder you can create an agent to handle this research for you. It can: - Call Tavily to search multiple web sites - Synthesize the findings - Send a report to your preferred channel like Slack or email - Work on a schedule or on-demand Learn how to create a research agent with LangSmith and @tavilyai in just a few minutes 👇" [X Link](https://x.com/LangChainAI/status/1996283290907459871) 2025-12-03T18:20Z 225.5K followers, 17.2K engagements "Join Jason Ginsberg (Head of Engineering Product at @cursor_ai) and Harrison Chase (Co-founder and CEO LangChain) as they discuss coding agent UX building with Cursor and trends heading into 2026. This will be an in-person event in San Francisco" [X Link](https://x.com/LangChainAI/status/1998108017318126065) 2025-12-08T19:10Z 225.5K followers, 6742 engagements "📞🤖 Phone Calling Agents Course Made by the LangChain Community Build production-ready voice AI agents for real calls via Twilio. Uses Opik (native LangChain integration) open-source models multi-week course with live sessions. Check it out:" [X Link](https://x.com/LangChainAI/status/1995175999370313866) 2025-11-30T17:00Z 225.5K followers, 40.6K engagements "💰📊 Track costs across your agent LangSmith now tracks costs for more than just LLM calls you can submit custom cost metadata for any run (e.g. expensive custom tool calls or API calls). Get a single unified view to monitor and debug spend across your entire stack Check out our documentation to get started:" [X Link](https://x.com/LangChainAI/status/1997016635375603743) 2025-12-05T18:54Z 225.5K followers, 9061 engagements "Agent engineering: A new discipline Traditional software assumes known inputs and predictable behavior. Agents give you neither. Thats why teams shipping reliable agents are adopting a new discipline:agent engineering. Agent engineering is driven by a few core ideas: 🔹 Combine engineering product and data science skills to shape agent behavior 🔹 Real usage in production shows what actually breaks and where assumptions fall apart 🔹 Agent quality comes from continuous iteration: i.e. ship observe refine prompts and tools repeat Read to learn more about why agent engineering is emerging now" [X Link](https://x.com/LangChainAI/status/1998458777696350393) 2025-12-09T18:24Z 225.6K followers, 57.7K 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.]
@LangChainAI LangChain
LangChain posts on X about ai, llm, context engineering, cursor the most. They currently have XXXXXXX followers and 1603 posts still getting attention that total XXXXXX engagements in the last XX hours.
Engagements: XXXXXX #
- X Week XXXXXXX -XX%
- X Month XXXXXXX -X%
- X Months XXXXXXXXX -XX%
- X Year XXXXXXXXX -XX%
Mentions: XX #
- X Week XX -XX%
- X Month XXX +187%
- X Months XXX +49%
- X Year XXX +28%
Followers: XXXXXXX #
- X Week XXXXXXX +0.53%
- X Month XXXXXXX +2.10%
- X Months XXXXXXX +13%
- X Year XXXXXXX +36%
CreatorRank: XXXXXXX #
Social Influence
Social category influence technology brands social networks stocks vc firms events finance
Social topic influence ai, llm #227, context engineering, cursor, slack #97, $125m, cloudflare, capitalg, trust, future
Top accounts mentioned or mentioned by @openai @mongodb @anthropicai @hwchase17 @neo4j @pinecone @redisinc @elastic @gregkamradt @fpingham @replit @rlancemartin @ollama @databricks @huggingface @trychroma @langchaindev @thefireworksai @ollamaai @tavilyai
Top assets mentioned Cloudflare, Inc. (NET)
Top Social Posts
Top posts by engagements in the last XX hours
"We raised $125M to build the platform for agent engineering. Thank you to our investors (@IVP @sequoia @benchmark @AmplifyPartners @SapphireVC @CapitalG and more) for their belief in us and to our customers like @Replit @clay @TrustVanta @Cloudflare @Rippling @Cisco @Workday and many more for their trust. Read more here about what this means for the future of building agents:"
X Link 2025-10-21T16:53Z 225.5K followers, 157.9K engagements
"🧠 OpenMemory: AI Memory Engine An open-source memory system enhancing LLM apps through LangGraph integration. Features structured memory with 2-3 faster recall and XX lower costs than hosted solutions. Check it out 🔍"
X Link 2025-10-25T16:00Z 225.5K followers, 82.4K engagements
"Understanding context engineering - and how it can fail - is crucial for building reliable agents. We wrote up some strategies for using a filesystem to address common challenges with context engineering: - Too many tokens: use the filesystem as a scratch pad instead of keeping every note in the message history - Large context needed for a task: pull in context as needed using the filesystem to make and follow a plan - Finding niche information: allow agents to search the filesystem for context with glob and grep - Learning over time: update the system prompt using feedback from a user Full"
X Link 2025-11-22T18:00Z 225.5K followers, 89.1K engagements
"🔍 PeopleHub: AI-Powered LinkedIn Intelligence Made by the LangChain Community Open-source LinkedIn intelligence by Meir Kadosh. Uses LangGraph 1.0.1 to orchestrate automated research workflowsprofile analysis parallel scraping and AI-generated reports. Check it out on GitHub:"
X Link 2025-11-30T16:00Z 225.5K followers, 43.7K engagements
"☁🤖 Serverless LangChain Agent Deployment on AWS Made by the LangChain Community Deploy LangChain agents on AWS Lambda using LangGraph's DynamoDB checkpoints for stateful conversations in serverless. By AWS Community Builder Thomas. 📺 Watch the tutorial:"
X Link 2025-11-30T18:00Z 225.5K followers, 15.1K engagements
"📊 Evaluating DeepAgents CLI on Terminal Bench 2.0📊 The DeepAgents CLI is a coding agent built on top of the Deep Agents SDK offering an interactive terminal interface with shell execution filesystem tools and persistent memory. How well does it actually perform on real-world tasks We put it to the test In this blog post we cover: ⚙ What the DeepAgents CLI is 📈 How to run isolated evaluations with sandboxed agent execution 🔢 The results from evaluating performance across Terminal Bench XXX tasks - scores of XXXX% and XXXX% (mean: 42.65%). This baseline is on par with other implementations"
X Link 2025-12-05T18:15Z 225.5K followers, 20.4K engagements
"Deep Agents represent a shift in how AI systems operate unlike simple chatbots or basic RAG applications these agents run for extended periods execute multiple sub-tasks and make complex decisions autonomously. In this webinar we'll dive into practical approaches for gaining visibility into Deep Agent behavior and measuring their effectiveness using LangSmith. RSVP here:"
X Link 2025-12-06T22:31Z 225.6K followers, 13.6K engagements
"🚀 Deep Agents: The Weekly Roundup🚀 Dive into our new resources to help you build Deep Agents capable of handling complex long-running tasks. ✏ Context engineering is key to reliable agents. Deep agents need detailed context and prompts and filesystems can help manage that context. We wrote up some strategies for using filesystems to improve agent reliability. Read the blog: 🤷♀ What are Deep Agents -We break down the key things to know when youre building an agent to handle more complex tasks. Watch the video: ⚽ Using Skills with Deep Agents CLI -Agent skills are now available in the Deep"
X Link 2025-11-28T18:49Z 225.1K followers, 22.6K engagements
"Are you at AWS re:Invent this week Harrison Chase will be at our re:Invent booth (#524) on Dec 3rd (12-1pm) for a meet and greet. Stop by and let's talk shop Meet us at AWS re:Invent. Book a meeting schedule a demo or just stop by to say"
X Link 2025-12-02T21:08Z 225.1K followers, 5992 engagements
"✨ Today were thrilled to announce ✨ - 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"
X Link 2024-02-15T16:41Z 225.5K followers, 510.6K engagements
"@BRAKING_NEWS_AI Thanks for checking it out - you can configure an MCP server for Agent Builder in your LangSmith workspace. Docs here:"
X Link 2025-12-02T18:42Z 225.3K followers, XXX engagements
"How are the best teams actually building with AI coding agents Join Harrison Chase and Jason Ginsberg (Head of Engineering Product at Cursor) for a fireside chat on: - Coding agent UX - How teams are building with Cursor - Trends heading into 2026 This will be an in-person event in San Francisco"
X Link 2025-12-04T17:57Z 225.4K followers, 7419 engagements
"Calling all devs and AI builders: help shape the 2025 State of Agent Engineering report. Share how you're building agents your agent architectures evals you're running model choices and biggest blockers to production. We'll analyze responses from the community and publish the insights. Take the survey here here (with a chance to win LangChain swag):"
X Link 2025-11-18T16:12Z 225.5K followers, 41.5K engagements
"Since launching LangSmith Agent Builder teams have built thousands of productivity agents that automate real work including: - Customer and market research agents - Agents to create update and report on issues in tools like GitHub and Linear - Email and Slack assistants to summarize and draft messages You can spin up agents like these with a simple prompt. Try it free:"
X Link 2025-12-03T17:08Z 225.5K followers, 15K engagements
"Evaluating Deep Agents: Here's what we learned Deep agents can't be evaluated like simple LLM tasks. After building and testing X production agents over the past few months we learned that evaluating deep agents requires: X. Bespoke test logic for each datapoint each test case has its own success criteria X. Single-step evals to catch regressions at individual decision points X. Full turn evals to validate end-to-end agent behavior X. Multi-turn evals that simulate realistic user interactions X. Clean reproducible test environments 👉 Read the full blog post on evaluation patterns for deep"
X Link 2025-12-03T17:52Z 225.5K followers, 54.8K engagements
"Many teams spend hours every week doing research sales marketing recruiting product. Its necessary but time consuming. With LangSmith Agent Builder you can create an agent to handle this research for you. It can: - Call Tavily to search multiple web sites - Synthesize the findings - Send a report to your preferred channel like Slack or email - Work on a schedule or on-demand Learn how to create a research agent with LangSmith and @tavilyai in just a few minutes 👇"
X Link 2025-12-03T18:20Z 225.5K followers, 17.2K engagements
"Join Jason Ginsberg (Head of Engineering Product at @cursor_ai) and Harrison Chase (Co-founder and CEO LangChain) as they discuss coding agent UX building with Cursor and trends heading into 2026. This will be an in-person event in San Francisco"
X Link 2025-12-08T19:10Z 225.5K followers, 6742 engagements
"📞🤖 Phone Calling Agents Course Made by the LangChain Community Build production-ready voice AI agents for real calls via Twilio. Uses Opik (native LangChain integration) open-source models multi-week course with live sessions. Check it out:"
X Link 2025-11-30T17:00Z 225.5K followers, 40.6K engagements
"💰📊 Track costs across your agent LangSmith now tracks costs for more than just LLM calls you can submit custom cost metadata for any run (e.g. expensive custom tool calls or API calls). Get a single unified view to monitor and debug spend across your entire stack Check out our documentation to get started:"
X Link 2025-12-05T18:54Z 225.5K followers, 9061 engagements
"Agent engineering: A new discipline Traditional software assumes known inputs and predictable behavior. Agents give you neither. Thats why teams shipping reliable agents are adopting a new discipline:agent engineering. Agent engineering is driven by a few core ideas: 🔹 Combine engineering product and data science skills to shape agent behavior 🔹 Real usage in production shows what actually breaks and where assumptions fall apart 🔹 Agent quality comes from continuous iteration: i.e. ship observe refine prompts and tools repeat Read to learn more about why agent engineering is emerging now"
X Link 2025-12-09T18:24Z 225.6K followers, 57.7K engagements