Linux Dev | AI Rev Early Adopter | Gen AI\UX | Deep Agents
Phoenix, AZ
- Tweets 3,999
- Following 560
- Followers 1,867
- Likes 38,416
Side by side example
Same model (claude-opus-4-6). Same task. Two different agent harnesses
@LangChain Deep Agents CLI: 9s
Claude Code: 16s
The harness IS the performance. 1.7× difference, zero model changes
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Using Cursor?
Try @GroqInc's insanely fast inference API with @MistralAI's Mixtral-8x7b for a shocker.
Let's setup @Cursor to select any LLM as your coding assistant... 👇
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The @langchain Team does not stop 🔥
LangManus! Open Source Manus clone with LangGraph
Qwen + @tavilyai + Jina + Browser-Use to create a multi-tier LLM System for complex tasks with OSS.
Great YT intro video!
🦜🤖LangManus
You had to know it was coming!
This community effort attempts to replicate Manus using the LangStack (LangChain + LangGraph)
Still early innings - but check it out here!
github.com/langmanus/langman…
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Using @LMStudioAI for local inference with @langchain has been a time and money saver. On a M2 Max with 96GB I am getting over 40 tok/s with Mistral, CodeLlama, and Zephyr. Easy to use and implement in existing code base as an OpenAI API drop in replacement - good stuff!
LM Studio 0.2.8 now available! 🎃👻
... 🥁 ...
NEW: Local Server Config Presets!
💾 Presets for Mistral, Zephyr, OpenHermes & more
⚙️ No need to manually add prompt prefix/suffix in your client code (e.g. ChatML)
✅ Expect model output quality boost with AutoGen, Rivet
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You can go a very long way with @v0 and Postgres.new!
I prompted this @shadcn & @tailwindcss animated and styled Restaurant Menu component and used Postgres.new to generate the database.
45 minutes from start to finish to create a working prototype - mostly iterating over the db 🚀
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Definitely my favorite project rn.
@langchain 🦜 created this Graph Builder that you can use to drag-n-drop a graph together.
It's ridiculous.
You can template LangGraph structures and just grab the code.
LangGraph LLMs.txt file makes IDE go BRRR 🚀
gitmaxd.link/grph
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You can use the new @YouSearchEngine API as a @langchain 🦜 Retriever against the OSS MistralLite LLM, due to that 32k context window, with @LMStudioAI used for local inference - saving a metric 💩 ton of tokens!
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Insanity.
It took about 40 minutes for @Replit's AI sorcery to whip up this Waitlist Landing Page 🔥
Not just a landing page, tho - An admin dashboard with @PostgreSQL DB, authentication, full C.R.U.D actions, all responsively.
gitmaxd.replit.app/
admin / password
👀
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Not a single line of code was written 👀
This is @v0 and Postgres.new’s fault
You can imagine anything you want into reality now.
1. @v0 for generative UI w/@shadcn
2. Postgres.new gen PSQL migrations
3. @supabase pasted migrations.
4. @cursor_ai 🎀
You can go a very long way with @v0 and Postgres.new!
I prompted this @shadcn & @tailwindcss animated and styled Restaurant Menu component and used Postgres.new to generate the database.
45 minutes from start to finish to create a working prototype - mostly iterating over the db 🚀
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The educational value of this @langchain 🦜 repo can not be understated.
There's a working example for just about everything you could want to do, and then just access these as RemoteRunnables.
Step 1. # langchain app new my-app --package <langserve-template>`
Step 2. # langchain serve 🚀 👇
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You can use this @langchain Hub Prompt for the Generation of Q/A Pair Training Data with AI Personality Injection for OpenAI LLM's. If you don't have a lot of data to begin with it's a handy way to synthesize data from what you already have.
smith.langchain.com/hub/gitm…
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LangGraph 🦜🕸️ enabled @X API Research Assistant with @langchain, @tavilyai, @Wikipedia , and @CopilotKit 🔥
X API "Recent Search" API Endpoint - Data liberated.
Research Agent, with Tavily search and Wikipedia as an API endpoint in a @NextJs App.
X API AI 🔥
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RAG + Content Generation + WordPress API = 🤯
I created a GPT that can not only create excellent blog articles but can also autonomously post them to #WordPress as Drafts or Publications.
chat.openai.com/g/g-ig8Exuoz…
/help
I'll keep this open for a bit if anyone is interested in trying it.
The RAG is done on my 🦜 LangSmith Hub "gitmaxd/onboard-email" prompt, if you wanna challenge it.
Posts are made to blog.xload.ai
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This was the moment it happened. 💥
@langchain’s 🦜@RLanceMartin made this YT (8 days ago) to describe a LangGraph workflow to iterate over a complex code question.
I started with @hwchase17 LangGraph Series (3x) 👇
It took this explanation for it to click, for me. 🔥
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Running @MixtralAI via @FireworksAI_HQ using the recently released @langchain Next.Js App with Retrieval Augmented Generation (RAG) and Ingestion using @weaviate_io with OpenAI embedding.
It is hard to overstate how excellent this software is.
Repo: github.com/langchain-ai/chat…
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Looking forward to spending time learning about @langchain this weekend 🦜
I fully intend to for this book to look like a high school yearbook when I leave LangChain Interrupt in San Fran in May!
interrupt.langchain.com/
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I saw a super cool ‘pull to refresh button’ idea that displayed/updated the current revenue earned.
So I made a close copy with @v0 in about 10 prompts.
dub.sh/v0button
You can just do whatever you want now.
A pull-to-refresh interaction.
Made with Tailwind, Framer Motion and Motion Number by @MBarvian.
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. @GroqInc API support for combining streaming with tool use has been just been released
They quietly announced on their discord just in time for the weekend 🔥
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Here's a fun learning example of @langchain's new LangGraph 🦜🕸️ Cloud!
@jamescalam created the LangGraph "Oracle" Research Agent 👇
I wrapped it into a deployable LangGraph Cloud App
Run local in Studio, or deploy to LangGraph Cloud
dub.sh/deployed 🚀
Repo 👇
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hak Check out @cline with the @firecrawl MCP server and deepseek-r1-zero:free in plan mode with @openrouter. It’s shocking.
Plan for free. Then Act with Sonnet 3.7 🚀
Use @cursor_ai for the scalpel 🔪
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I just shipped o3-mcp as an OSS 🚀
The power of the @OpenAI o3 Model family in your favorite IDE or MCP Client as a collaborative Pair Agent!
o3-pro Model included 🔥
You can now initiate a prompt or chat dialog between your model of choice and the o3 Models!
npx o3-mcp 👇
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This @langchain project is on 🔥
OpenCanvas is an all -in-one solution from the engineers at LangChain 🦜
A rapidly growing OSS project with an iterative, canvas-like approach to AI Generation.
☑️ Built-in Auth
☑️ Multi-LLM Support
☑️ Iterative generation native
🚀
❌If you are using chat interfaces for writing text (blogs, essays, code) you're doing it wrong
UXs like Canvas are SO much better for this. Diffs, highlight specific pieces, quick actions, etc
See OpenCanvas for a fully OSS implementation of this
github.com/langchain-ai/open…
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Big thanks to @jamescalam for creating the "Oracle" LangGraph example!
I’ve taken it a step further and turned it into a LangGraph Studio/Cloud deployable project 🚀
The Oracle is an excellent @langchain learning example with access to ArXiv, Google Search, and RAG via @pinecone .
Wrapping this up tonight — stay tuned! Repo and drops tomorrow for anyone interested. 👀
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Holy Examples @langchain!
@BraceSproul created this beautiful example repo of Agent Graphs making it easy to get started with LangGraph! Really Easy!
This repo showcases an impressive array of Agents - Ready to hookup to your Agent Chat UI.
Incredible learning context.
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Good times getting to know @langchain's JS LangGraph Studio today.
Whipped up an endpoint with @tavilyai Search and made a @dubdotco API link shortener tool, for the learn.
Rapid dev with the local Studio is great - quickly modify and test new Agents on the desktop 🚀
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LangGraph and @firecrawl seem so natural together.
Fire Crawl has so many options available for smart LLM scraping, and structured output.
With @langchain’s LangGraph as an orchestration layer you open a world of possibilities for structured output
Its all you need 🕸️🔥
🤖Agentically scrape the web with Firecrawl & LangGraph
Web research is an area we've seen a lot of interest in
Combining Firecrawl and LangGraph makes this easy
Great video from "LLMs for Devs" here 👇
piped.video/watch?v=vSz5-KeR…
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Using @shadcn custom registries is surprisingly easy.
This post demo's using a home grown registry to distribute a custom made ShadCN component set via CLI.
It's rly just a @nextjs project with a special registry config file and dir.
There's even a registry template 🚀
dx.gitmaxd.com/r/dashboard-t…
Alright, check this out!
I'm going to build a custom dashboard with supabase auth and a custom theme by "piecing together blocks from the Web".
1/n - Let's start by adding the dashboard block from shadcn/ui:
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Fresh @langchain 🦜 Notebooks for different RAG and CRAG techniques for OSS and hosted LLMs.
Looks like a great weekend for a dive into LangGraph
🔖 Save for later!
Thanks @BraceSproul
* Python: github.com/langchain-ai/lang…
* JS/TS: github.com/langchain-ai/lang…
✅ Corrective RAG with LangGraph
As @RLanceMartin once said “don’t build agents, build graphs”
We’ve just implemented 4 new notebooks outlining different RAG and CRAG techniques in @langchain PY & JS! These show off different RAG flows, using OSS and hosted LLMs. See the links below for the notebooks:
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This is absolutely awesome, @windsurf_ai!
In the middle of an operation the agent violated a heuristic and stopped itself from deleting 1,380 lines of code in YOLO mode.
Then asked for a human to step in and check the action 👏
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Time to 10x your Prompt Fu 🥷🏾
@langchain dropped Prompt Canvas Playground into LangSmith to improve your Prompt, a lot.
It's like Cursor for your Prompts; An iterative approach with definable "Quick Actions".
The best way to gen and save prompts.
gitmaxd.link/op
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. @langchain has made it so EASY to get rolling with advanced AI techniques. Five minutes and BAM! 🦜⛓️ piped.video/aA6KZ4L_ono?si=krJd…
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This AI project is in full sprint mode 🚀
Sequentially chained agents with assigned tasks and tools.
I've watched @joaomdmoura build Crew AI from the beginning. Awesome to see this project mature and focus in.
The group has an A+ Discord Channel 👇 and Joao is a machine, always helpful!
Excited to try this release 👏🏼
🚀🚀 crewAI v0.19.0 is out 🚀🚀
Would appreciate retweets 🙇♂️
The focus? Massively improving tools usage 🛠️
📈 Efficiency in tool usage +1023.21%
🛠️ Mean tools used +276%
🚫 Tool errors slashed by 67%, more reliable than ever
🤝 Delegation capabilities enhanced
📄 Improved docs
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I made some LangFu using the @langchain LangGraph Templates with @firecrawl, @supabase, @aisdk, & @CopilotKit
I am so jazzed for LangChain Interrupt! 🔥
Let's go 🚀
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Looks like a special gift from @v0 just arrived!
Fork components into your own account is here.
Share your components for others to collaborate with or to learn from - it’s perfect!
v0.dev/chat/b/aBeUrNz
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This is exciting!
@langchain 🦜 just announced LangGraph Studio-
It's an "agent IDE" with an Apple Silicon App that runs on your desktop.
Integrated visualizations, interaction, and debugging of complex Agentic Graphs.
And here we go 🔥
🚀Announcing LangGraph Studio: The first agent IDE
LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications
With visual graphs and the ability to edit state, you can better understand agent workflows and iterate faster. LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes
LangGraph Studio is available for free to all LangSmith users on any plan tier during its early development.
Read more about it here: blog.langchain.dev/langgraph…
Watch a YouTube walkthrough: piped.video/watch?v=pLPJoFvq…
Try out LangGraph Studio for free here: github.com/langchain-ai/lang…
Sign up for a LangSmith account: smith.langchain.com
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To those I was able to catch up with, thanks for signing my “yearbook” at @langchain Interrupt!
To those I didn’t catch up with, I will! ❤️
Most prized possession 🎁
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Had some time to checkout @firecrawl's new /Extract endpoint today with great results 🔥
Use a natural language prompt with multiple URL's and the data you want to extract and FireCrawl will process the request returning your desired structured output.
FireCrawl is giving away 500,000 tokens to give the new /extract endpoint a try!
This FireCrawl UI was built using FireCrawl and 15K of those tokens 🚀
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You see that @langchain 🦜 fork by
@firecrawl 🔥 with the unstructured content extraction for GenUI?
That fork of @BraceSproul’s @vercel AI GenUI repo + their slick API for JS?
Hey @firecrawl, here’s the Python LangGraph/LangServe Version 👇
Thanks for the inspo 🤍
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Here's an excellent example of using '@' in GenUI that is hard to not look at. You know how Cursor works with the @?
Using @langchain, @GroqInc and @nextjs @devdigest has created a sick new way of chatting with your AI 🔥 by using the @ symbol to scope your tools.
If you don't have a follow on Dev_Digest already, this guy is cooking!
This repo is pure brain gold for LangChain 🦜 devs! 👇
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Having some fun with @langchain 🦜🕸️ LangGraph Studio this weekend!
Building a Next.js React Component Generator ❤️
LangGraph Cloud hosted Demo and deployable repo coming later 🏁
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This is this fastest way to Generative UI 🪁
@CopilotKit & @langchain LangGraph
Wonder Twin Powers, Activate!
Build an Agent-Native application with LangGraph & CoAgents in a few minutes🦜🪁🚀
🎥New Tutorial by @ataiiam
go.copilotkit.ai/BuildAgentN…
Build an app with:
- Embedded LangGraph agent 🦜
- Agentic UI/UX ✨
- Shared state & actions between App <--> Agent 🪁
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This one on my favorite projects 🚀
So glad to see the @CopilotKit team get CoAgents into public beta.
Run @langchain
🦜🕸️ LangGraph agents on website context!
Here’s my X API project powered by @CopilotKit
🚀Launching CoAgents Public Beta 🪁:
Everything you need to build Agent-Native applications, powered by LangGraph & CopilotKit.
CoAgents enables in-app agents with:
- Agenetic generative UI ✨
- Shared state (between agent <-> application)
- Streaming intermediate agent state
- Human-in-the-Loop (Human approval & planning) 👨🦰
- Frontend Actions 💪
---
We’ve recently seen the emergence of Agent-Native applications that actually work: powered by vertical AI agents + agentic UX + deep in-app integration.
(Apps like the Replit AI Agent, OpenAI Canvas, etc, but for any domain)
With CoAgents + LangGraph, you can build this next generation of agent apps, for any vertical, with a clean and easy to use infrastructure (in hours).
💻Get started: docs.copilotkit.ai/coagents
🗞️Blog: go.copilotkit.ai/CoAgentsBlo…
🕹️Demo: go.copilotkit.ai/demoGitHub
🗓️Webinar (Build an Agent-Native Apps with CoAgents & LangGraph): lu.ma/2kxspzl4
CC: @ataiiam, @langchain, @hwchase17
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Do you think you would ever chat with a restaurant menu?
I could totally chat with a menu.
Yo chat, You got spicy?
@langchain @CopilotKit @nextjs @shadcn
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Excited to be a small part of LangChain history!
The @langchain Team's Community engagement has always been the main attraction for me.
This announcement is a continued commitment to that level of engagement!
We can all be pretty excited to see what's to come as there's a lot cooking! 🔥
Looking forward to helping however I can!
LangChain wouldn't be what it is today without our community! We're thrilled to introduce two new community initiatives:
🌟 LangChain Community Champions: Building LangChain is a team effort — over 3,500 amazing contributors have poured their time into making LangChain the vibrant ecosystem it is today. Our Community Champions are our MVPs — squashing bugs, tackling issues, adding new features, and crafting great docs!
🌍 LangChain Ambassadors: The LangChain Ambassador Program brings together our most passionate community volunteers from across the globe. Whether they’re hosting meetups, leading vibrant local or digital communities, or creating amazing educational content, they’re making LangChain accessible for everyone. 💚
Check out our current Community Champions and Ambassadors ➡ langchain.com/community
@cbornet_ @EdenEmarco177 @virattt @pampalabs_ @GitMaxd @js_craft_hq @zhanghaili0610 @AustinLangChain @afirstenberg @marlene_zw @PetersClemens
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Today I made my first @Nextjs @langchain 🦜 RemoteRunnable component.
It's nothing, but...
It talks to my Python LangServe hosted API endpoint using @FastAPI on my own IaaS project, @sliciecloud ⛅️.
Full Stack Yet? 2 cages, 10 racks, ARIN/21 (AS32647) Anycast Network, 3 ISPs, owned hardware, OSS software, DNS, CI/CD to Node/Next.Js deployment.
Tomorrow, everything is different. 🚀
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Quick start to using @langchain’s LangGraph Cloud and Studio 🦜🌥️
Clone this repo and run the LangGraph Research Agent on your desktop with LangGraph Studio
Modify it in @cursor_ai for 🎉
Deploy it to LangGraph Cloud to ship it 🚀
Here's a fun learning example of @langchain's new LangGraph 🦜🕸️ Cloud!
@jamescalam created the LangGraph "Oracle" Research Agent 👇
I wrapped it into a deployable LangGraph Cloud App
Run local in Studio, or deploy to LangGraph Cloud
dub.sh/deployed 🚀
Repo 👇
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Is it the best?
@Cloudflare ☁️ Serverless AI Workers - and they’re amazing, but it doesn’t matter…
This video is a masterclass in Marketing. And, you’ll enjoy it!
It’s a perfect blend of information and entertainment.
All Marketers should be forced to watch this 👇
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Create and share your LangGraph 🦜🕸️ App using LangChain Studio!
It’s really easy!
Here’s my Next.Js Component Gen App you can try to see how easy it is.
1. Clone Repo
2. Open in LangGraph Studio
3. Create functional, well documented @nextjs components
See live now 🦜🕸️☁️🔗👇
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Are you new to LangGraph? Me too!
I'm "Learning in Public" 🎈
I struggled with understanding @langchain's 🦜🕸️ state management and this script helped me a lot.
State Management is not hard, but can be complex. I've tried to demo an easier way
dub.sh/state-mngt
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Working in @windsurf_ai today and I've been avoiding clicking this "Open Preview" button because, why click it?
I already have an open browser window, it's fine...
Click the button. It's a magic button.
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A tool for creating LLM.txt files, or instructions, for AI context and prompting.
You can extract any website site into a nicely prepared text file ready to ‘@‘
Serious secret weapon stuff by the Genius’s at @firecrawl 🔥
Example: gitmaxd.link/copilot
Introducing llms.txt Generator ✨
You can now concatenate any website into a single text file that can be fed into any LLM.
We crawl the whole website with @firecrawl and extract data with gpt-4o-mini.
Create your own llms.txt at llmstxt.firecrawl.dev!
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Good times tonight with CrewAI’s 🦜 LangGraph Email Assistant by @joaomdmoura
Straight forward implementation demonstrating a real-world use case of LangChain to create collaborative autonomous Agents.
Strongly recommend taking a close look at this one! 🔥
#crewai #LangGraph
🚣♀️Building an email assistant with CrewAI and LangGraph
@joaomdmoura put together an awesome example of how to build an assistant to look at and respond to emails
And recorded a video go with it!
Code: github.com/joaomdmoura/crewA…
Video: piped.video/watch?v=OzYdPqzl…
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Fresh out of the oven!
@devdigest open sourced his @perplexity_ai inspired Full-Stack @nextjs Answer Engine.
Built with @langchain 🦜, @GroqInc, and @MistralAILabs Mixtral - This is definitely cooking!!
There is a gold mine of learning in this code 👇
Today, I’m open sourcing my Next.JS LLM Answer Engine
Repo and video are now live!🎉
Built with amazing tech from:
@vercel 🔺AI SDK
@GroqInc ⚡️Inference
@MistralAILabs 🧠Mixtral
@langchain 🦜 JS
@OpenAI Embeddings
@brave & @serperapi 🔎 Search APIs
Repo + YouTube 🎥 👇
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Learning to do some pretty incredible things with @v0, @nextjs, and @cursor_ai 🚀
Here's a component for my app that accesses the @X API and displays the posts from the assigned Handle.
That means... I have an 𝕏 Key 🔥 Let the games begin!
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Here’s a nice educational piece using @ollama local LLM’s and @langchain JS 🦜 in a #Nextjs app.
Sweet bonus: Learn to use @ngrokHQ to securely tunnel to your local Ollama LLM host 🔥
Looking forward to checking this out @devdigest , looks great!
Built an OSS proof-of-concept on how to access your locally running @ollama inference server + leverage local LLMs on the fly. Built entirely with free services.
@langchain (JS) w/ LCEL
@nextjs for web app
@ngrokHQ for proxy
@vercel for deployment
Demo, Repo, Tutorial👇
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You should really try with ai-init one time.
npmjs.com/package/ai-init
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This is great - Using a @langchain Runnable to exploit @GroqInc with no harm, no foul.
Well done, @austinbv! I just love this and I’m sure the security exchange was a good time!
🫡
I zero-dayed @GroqInc's API.
I was eager to use Groq in my apps, but the API is in private beta—meaning anything beyond the website was off-limits...
Or.. I could reverse-engineer the frontend to build a @langchain runnable.
Let's talk about the exploit in the thread.
👇 🧵
ALT Full code for building a LangChain Runnable with Groq
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This really was the first turn on ❤️
A great local project that you can operate a browser like @OpenAI’s Operator - without a $200/mo price tag!
Use @langchain 🦜 & @browser_use to skip the $200 checkout and run your browser locally! 🏁
Kinda crazy that open source that came out months ago is sota over what major labs are releasing today
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I use o1 as the LLM of last resort. It’s that good.
When Claude fails, and 4o fails, I know that I’ve developed a prompt and enough examples that I can format into an o1 prompt and “one-shot” it, after prompt tuning.
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Kimi K2 on @GroqInc 🔥
185 t/s
Groq team never dissappoints - this may change things!
*YOLO Launch* Kimi K2 is now in preview on GroqCloud at 185 tokens/sec. Build fast.
Link in comments.
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This new @cursor_ai v0.43 release with the new Composer UI and Agents (tool use) is a big deal.
You can now run a bug finder on your current git diff to find bugs in generated code.
Get colored diff's in your composer that you can iterate over and revert back to?
LFG 🚀
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I'm a big fan of @firecrawl 🔥
I use it a lot so I made a UI to implement the LLM Extract scrape endpoint to use Natural Language to extract structured data from webpages/pdfs.
Create your search/extraction structure and copy the FireCrawl API code!
gitmaxd.link/llm-extract
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You know what's next?
It's @CopilotKit made with @langchain's LangGraph-Fu 🚀
It's interesting that @Replit AI chose @langchain, isn't it?
Industry Standard, Structured outputs, Sequential predictable flows, Ecosystem to die for...
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Works very well - I call them Validators and specialize them with the docs and example pattern code - the primary agent saves big on it’s context window by offloading context heavy ops to sub agent
Very simple
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You can get Markdown from any URL, fast and free, with vision for image descriptions!
It’s got an API and it’s also OSS 🔥
Easy, ya- r.jina.ai/blog.langchain.dev…
Search, yup- s.jina.ai/What%20is%20langgr…
You can quickly use this to fill the context window and get better results from _any_ LLM with relevant context!
@JinaAI_ almost feel like stealing!
Repo in comments 👇
Bookmark and follow for more gems 💎
jina.ai/reader/
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I was having a meeting with someone awesome today, and they asked me “Why @langchain?”.
I answered intuitively, “I’ve seen this happen before”.
A rising tide floats all boats.
1 hour before keynote, here’s @hwchase17 with 🦜 Amb’s - Naturally.
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Banging on @payloadcms v3 Beta with a new @nextjs project for a friend.
He owns a local restaurant. $2k-$4k quotes for a website!
So we go with Next.Js, Payload❤️CMS, @PostgreSQL, @tailwindcss, @shadcn.
Host on @sliciecloud with @coolifyio.
Good friend Free 🚀
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The day started out with great news from @payloadcms about the v3 launch...
Then got news of @OpenAI GPT-4o/4-mini fine-tuning, for FREE (a month)!
And Now, @v0 with shadcn/ui and Tailwind CSS!
It's noon!
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Putting GenUI together piece by piece
@nextjs with @tailwindcss & @v0 components.
@langchain 🦜backed 🪁@CopilotKit demo of ‘useCopilotActions’ & ‘useCopilotReadable’.
Having a chat with the @X API - maybe coming soon?
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There’s a good chance this will change the way we think about building agents.
@langchain 🦜 Dropped LangGraph Cloud today 🔥
The same way LangSmith delivered observably, LangGraph Cloud promises to deliver cyclical agents in an observable studio environment.
@hwchase17 🙏
🚀 Introducing LangGraph Cloud 🚀
LangGraph helps you build reliable agents that actually work. Today, we've launched LangGraph Cloud, our new infrastructure to run fault-tolerant LangGraph agents at scale.
With LangGraph Cloud, you can:
• Handle large workloads with horizontally-scaling servers, task queues, and built-in persistence
• Debug agent failure modes and iterate quickly in a visual playground-like studio
• Deploy in one-click and get integrated tracing & monitoring in LangSmith
This builds on LangGraph v0.1, our latest stable release supporting diverse control flows - whether it's single- or multi-agent, hierarchal or sequential. You'll be able to create flexible agents with human-in-the-loop collaboration and first-class streaming support.
We can't wait to see the agentic workflows you'll ship. LangGraph Cloud is available in closed beta today.
👉 Join the waitlist for LangGraph Cloud: bit.ly/langgraph-cloud-beta-…
✍️ Read our blog post announcement: bit.ly/langgraph-cloud-blog-…
📽️ Watch the video walkthrough: bit.ly/langgraph-cloud-video
🌀 Haven't tried LangGraph yet? Give it a spin here: langchain-ai.github.io/langg…
🙌 Check out the new LangGraph landing page: bit.ly/langgraph-page
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Lorem Ipsum generator in the format, length, and style you want.
Nothing but fluff.
“An ordered list of five sentences in Markdown format”
chat.openai.com/g/g-G2rQPDzZ…
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Whoa! @langchain ! 🚀 Thanks a ton for the shoutout – a feature in your Newsletter! You just made my day! 🙌 Getting this head nod is SO inspiring!
Check out my featured prompt on LangChain Hub if you need some synthetic LLM training data! Show it some love if it helps you - it means a lot!
And thanks to @HardKothari for letting me know my prompt was mentioned, and for the image! 🍻
smith.langchain.com/hub/gitm…
📰Latest LangChain Newsletter is out!
-what's new in Open Source & LangSmith
-resources you may have missed
-favorite prompts and apps from this week
-events, hackathons, and talks to look forward to
read and sign up: blog.langchain.dev/week-of-9…
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So we had a “Best Tan” contest today…
🙌
Hard to describe what it’s like hanging out with Legends.
@EdenEmarco177 @torres_andres87 @assaf_elovic @ulidabess
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There is an excellent post on the @langchain Blog covering useful Prompt examples in each Prompt category on LangChain Hub.
Two of mine made it 🏁
🦜Blog Post: blog.langchain.dev/the-promp…
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The AI Landscape moves fast.
Put @Scobleizer's AI Lists in a X Deck and watch the feed go brrr!
You won't miss a thing.
It's the best, and easiest way to stay on top of everything happening within the AI ecosystem.
nitter.app/Scobleizer/lists
Great Work Robert!
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What the hell just happened?
I turned 55 today! 🎈
Build, iterate, and ship fast.
Do the damn thing.
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Had a great day getting to know @lancedb - sick little OSS DB that stores vectors, metadata and multi-modal data (text, images, videos, etc).
Super simple integration with 🦜 @langchain and support for Python and Javascript/Typescript.
Ingest anything. Rust at its core.
python.langchain.com/docs/ge…
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RATs! 🐀
Retrieval Augmented…Thoughts
A new way of consuming Real-time context into your RAG pipeline.
I sent my own RAT against the paper and created this, with some intimidation tactics.
medium.com/@gitmaxd/augmente…
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Love how much fun we’re having at @langchain Interrupt 🦜 met some amazing new friends!
@marlene_zw has a great post with pics and the code repo from day 1 - you should check it out!
If you’re here come say hi! 👋
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There's a special gift at the end of the
@langchain 's 🦜 "AI Agents in LangGraph" course!
📝Learn how to step through your agent flows in a
@Gradio UI with an impressive code example!
A more advanced course than the YT series with a deeper dive into "Time Travel" (checkpointing). 👇
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LangGraph just got a whole lot easier to learn!
@langchain and @RLanceMartin have produced the definitive LangGraph 🦜🕸️ Course - and it just dropped.
This course goes from Intro to Sub-Graphs and Parallelization. 🚀
academy.langchain.com
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. @langchain’s LangGraph (JS/Python) workflows using @CopilotKit achieved internally.
Call a LangGraph flow from your @Next.Js application (Action/NLP), update state and render components with Graph Flow Results. It works.
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If you love learning smart things, this is for you ❤️🔥
There’s a lot going on here.
1. @firecrawl Batch API
2. New @upstash “Search” service
3. OpenAI Compatible API example
These Firecrawl demos are a goldmine of context, examples, and HowTo’s
Announcing Firestarter - an open-source Chatbot building platform 🔥
Crawl websites, train chatbots on multiple sources, and automatically generate endpoints for every bot.
Try out the perfect chatbot starter kit today 👇
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Having @langchain's LangGraph Deployed Agents available as MCP servers feels like a serious unlock.
So, our LangGraph Agents are now accessible to any client that uses MCP to immediately process requests!
This will take a few hours to properly digest 🔥
🚀 LangGraph Platform Now Supports MCP!
Every deployed agent on LangGraph Platform now exposes its own MCP endpoint. Leverage your agents as tools in any client supporting streamable HTTP for MCP— no custom code or infrastructure required.
📚Docs: langchain-ai.github.io/langg…
📽️Video: piped.video/AR4mLbm-0RU
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5 lines of code.
Make a custom @langchain 🦜 Remote Runnable AI Endpoint in 5 lines of code with the help of LangChain Hub and LangServe.
Here's the prompt template 🚀
smith.langchain.com/hub/gitm…?
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LangGraph Starter Kit 🔖
Start easy.
Make a nice deterministic starter graph that just does one thing, and one thing really well with @langchain
Deploy to LangGraph Cloud & integrate into AI Text Gen Workflow
github.com/langchain-ai/new-…
npx @langchain/langgraph-cli@latest dev
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Just lit a @langchain 🦜 RAG Content Generation App for demonstration and learning experience. A lot of good stuff. Integrates with LangSmith tracing, LangChain Hub Prompt Templates & #ChromaDB. You can even bring your own OpenAI LLM.
gitmaxd-rag.streamlit.app
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Rly easy to setup a free @resend account with Supabase with their integration tool
resend.com/supabase
Best to just start with this.
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There’s an OSS low-code builder that uses @langchain’s 🦜LangGraph. Looks crazy!
Tribe AI (Repo 👇)
🟢 Persistent conversations
🟢 Observability
🟢 Tool Calling
🟢 Human-In-The-Loop
🟢 Easy Deployment
🟢 Multi-Tenancy
🟢 Retrieval Augmented Generation
Well Doc’d 🔥
🐒🐒Tribe AI
✨ Low code tool to rapidly build and coordinate multi-agent teams ✨
Lot's of folks have been asking for a low-code builder for multi-agent LangGraph applications
This open source project does exactly that!
Code: github.com/StreetLamb/tribe
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A @github API V2 GraphQL real-time 🦜 @langchain powered NLP topic modeling search engine (tumbler) in @nextjs & @supabase.
POC right now, but the video is localhost and unedited. It’s all really raw.
It’s my first JS thing and a wip.
Is it interesting enough for an educational open source release? I’d be happy to share what I’ve learned!
@Hacubu & @hwchase17 lit a 🔥 - ty!
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Here's the Full @langchain Interrupt Conference for your viewing enjoyment 🔥
It's not possible to be bored today!
These talks are both entertaining and educational.
Strong recommend to watch @assaf_elovic of @tavilyai and @shcallaway (favs) - Watch them all!
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Fun with @firecrawl, @supabase, @nextjs - Full Stack Style 🤓
Experimenting with displaying progress with events to keep the client busy while the Agent completes it's task.
@langchain LangGraph agents streaming events to the UI, engaging user before Agent has completed.
Exploring interesting ways of exposing progress events with @langchain LangGraph State.
Trying to engage the user before the the Agent has completed while keeping them updated that work is ongoing.
There's a lot of flexibility with LangGraph JS.
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. @nextjs with @langchain 🦜 JS to perform near-real-time RAG updates with @AstraDB, @cohere, @OpenAI against Wikipedia updates with LangSmith Tracing?
Lot of use cases here, but I came for the JS learn, and there's a lot!
Ty @DataStax!
github.com/datastax/wikichat
This turned out to be an excellent hour of information put on by @DataStax
They had a nice treat in there, too!
LangSmith 🦜 Beta Access Code! 🍀
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You can easily use the @openrouter API with @cursor_ai as well - approaching 200 LLMs on their API!
For OpenRouter Just change out the Cursor API key and endpoint to:
openrouter.ai/api/v1
Then, use the model name provided by the info page for the Cursor model.
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The @langchain LangSmith Academy course is excellent
Dev focused easy to follow pace - Learn about:
☑️ @traceable decorator (AI trace logging)
☑️ Datasets & Experiments
☑️ On/Offline Eval
☑️ Annotation & Automation
☑️ Metics with Chat LangChain lesson
Examples included 🔥
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