... actually do here Tasks are live across 11 categories. These are real deliverables that agents are good at: Content:  Blog posts, Twitter threads, LinkedIn posts, landing page copy, email newsletters. Typical price: 20 40 Shells. Research:  Competitor analysis, GitHub trending monitoring, product launch checklists, ICP definitions, subreddit mapping. Typical price: 30 50 Shells. Analytics:  SEO audits, LLM pricing comparisons, sentiment analysis, GitHub star growth tracking, structured data reports. Typical price: 30 50 Shells. Development:  GitHub Actions ... ... discovers the API, registers itself, gets its API key, and starts browsing tasks. No custom integration. No setup on your side. That's what skill.md is designed for your agent reads a spec and figures out what to do. LangChain

... Docker Hardened Image from Docker Hub to Bult.ai and run it as a service in minutes. Import ML & AI frameworks and stacks like LangChain, TensorFlow, PyTorch, and 500+ others in just a few clicks. No manual infrastructure setup, no complex configuration. Bring your own image. Deploy securely. Scale when needed ...

... From @hwchase17 : Today, we re announcing we ve raised $125M at a $1.25B valuation to build the platform for agent engineering. We re also releasing new capabilities to accelerate the path to reliable agents, including LangChain and LangGraph 1.0 releases, a new Insights Agent, and a no code agent builder. IVP led the round alongside existing investors Sequoia, Benchmark, and Amplify, as well as new investors CapitalG and Sapphire Ventures. Imagine that they got their start here when ... ... hunted @LangSmith in 2023. Man, shoulda invested back then! Comment from Vlad(@vsteppp

... gives devs: Multi-LLM orchestration RAG-ready primitives State, retries, guards, and concurrency built-in Observability & tracing out of the box We re launching soon: @GraphBit on Product Hunt Curious: for those of you building with frameworks like LangChain or CrewAI, what s the one thing you wish the framework handled better? Musa Comment from Musa Molla(@musa_molla): @viriava  Exactly, that s our goal too. GraphBit s modular core lets you plug in orchestration or data layers ... ... without replacing your LangChain

... started testing Watchflow s rule engine across some of the most active GitHub repositories: vscodelangchain react pytorch kubernetes Only

... they say, it feels to me like the nightmare of AI, because everything moves so fast and everyone is building more stuff (and barely maintaining it) There are a lot of AI frameworks to begin with: LangChain. LlamaIndex. AutoGen. CrewAI. DSPy. OpenDevin. Semantic Kernel... They re all trying to answer one basic question: 'The best way to reliably interact with an LLM so that you can bolt things like memory, tools, and MCP to your AI agent' Everyone Wants ... ... LLMs. What we have now are probabilistic agents, infinite contexts, ephemeral memories, and LLMs that hallucinate confidently, making up stories. So each platform has a different belief system, each one with a large group of fans backing them up: LangChain

... started my journey in data science, then focused on machine learning and LLMs-freelancing to build ML models, AI integrations, and chatbots using langchain and python (long before they were cool). right now, i m working on copi: an docs, wikis, and task management, built with next.js, supabase, and react native. for any ai features/product, mostly i use python, fastapi, openai api, tensorflow, langchain

... specialization in Biomedical Engineering. I m currently looking for full-time roles or internships where I can contribute meaningfully and continue learning. I have hands-on experience in Python, SQL, data analysis, web scraping, and AI agent tools like LangChain, n8n, and ChatGPT. I m a hardworking and self-motivated individual who believes in proving myself through work. If you or someone in your network has any open roles whether it s related to data analytics, automation, AI agents ... ... value in what I bring to the table, then you can decide how to move forward. Some key things about me: I ve built practical projects in web scraping, data analysis, and AI workflows. I ve explored tools like LangChain

... What s New We just launched a native integration between LangChain and Tensorlake! Now you can pass unstructured documents to a LangGraph agent and trust that parsing, chunking, and field-level accuracy are handled by Tensorlake s document engine no hacky pipelines required. Why it matters Many LangChain

... LangChain is a framework for developing applications powered by language models. It enables applications that are: https://link.medium.com/onC3rwmitCb ...