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

... glue work, prompt chaining, zap setups, troubleshooting, only got heavier. The answer to all this inefficiency was to better and smartly leverage flows, and agents, so I could offload the intermediary steps. But that meant coding from scratch, langchain tutorials, or lean on pre-LLM "no-code" platforms, but that felt like the retrofits, and both paths actually added more friction and cumbersome to deal with. So I built Metaflow AI . My attempt to lighten the load ...

... already functional and covers key features especially around workflow governance. You can use it to define GitHub protection rules in natural language and enforce them in real time via YAML. We re looking for contributors with experience in: Python LangChain or LangGraph GitHub workflows, and branch protection rules If you're interested in contributing, testing it out, or discussing where it s headed, you can book a quick call with me here [ https://meetings-eu1.hubspot.com... ] Comment from Stelios Sotiriadis(@stelios_sotiriadis ...

... 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

... been building web products for over 10 years, blending strong backend architecture with clean, responsive UIs. Currently working with: Tech Stack: Backend: Python (FastAPI, Django), Node.js Frontend: React, Next.js DB: MongoDB, PostgreSQL DevOps: Docker, CI/CD, Kubernetes GenAI: OpenAI, LangChain, RAG pipelines What I Do: Build MVPs for startups Design scalable APIs and microservices Automate workflows and internal tools Create backend for AI products Recent Projects: AI Copilot that converts text into working APIs DNS automation engine for devops teams Chat ... ... SaaS Join early-stage builders Help launch products that solve real pain points Let s connect if you re building something cool or need a dev who ships fast Contact on : vishu242@live.com Comment from Soul Lenz(@eliza_pogorilska): @vsvaibhav2016

... 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

... built CargoBrain a fleet of GPT-powered agents trained for the air cargo industry. What it does: Answers DGR, pharma & customs queries in seconds Automates quotation, booking & compliance workflows Connects with tools like CargoAi, WebCargo, Supabase & LangChain Each AI agent is specialized: Nairobi (DGR) Zurich (Pharma) Rio (Customs) Denver (Sustainability) And more on the way... Forwarders and airlines are already testing it in private beta. Join the waitlist: https://cargobrain.io AMA about AI agents, logistics automation ...

... feedback("Summarize contract", base_prompt) No retraining. No finetuning. No vector DB. How it works: Embeds each task (OpenAI/MiniLM) - Finds similar past tasks Retrieves mapped feedback Optionally filters with LLM - Enhances system prompt before running Works with OpenAI, DeepSeek, LangChain agents. If you're building agents and want them to improve with real-world feedback, try it. Would love feedback, ideas, or brutal honest ...

... building tools that make other people faster, smarter, or just more in control. Here s a glimpse of what I ve been working on: MindGuard   An AI-powered mental health assistant for people dealing with emotional stress. Uses LangChain, OpenAI, and real-time sentiment + voice detection to deliver empathetic support. EventX   A real-time sales events alerting platform with Neon + Stripe + Discord for startup teams to never miss an event. Carepulse   A patient appointment + communication system built ...

... uses right now. RAG read from local documents (pdf,text) Tools fetching data from 3rd parties DB Vectors vectors database for properties YOUTUBE fetching YouTube videos and transcribing them Reasoning feed all data to the agent to make decisions LangchainJS MongoDB NextJS Modern UI Here you go: Frontend: https://github.com/adaOctopus/va... Backend: https://github.com/adaOctopus/va... Let me know what you think in the comments ...

... planning to build an AI Agent and I've contemplating whether I should use LangChain, Crew, another framework or no framework altogether. How are you deciding what framework to use in production ...

... Distillery launched on October 13th OpenSauced launched on October 11th Swagger Editor launched on October 11th ZenStack launched on October 10th Payload 2.0 launched on October 9th Ddosify launched on October 5th Evidence 2.0 launched on October 4th n8n LangChain integration launched on October 4th Lenra launched on October 2nd Best Hacktoberfest Projects 2023 launched on October 1st Gitpod Browser Extension launched on October 1st Who's launching an open-source product this month? Any projects that I missed? Drop ...

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