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No-code AI agents are changing everything... And most people don't even know these platforms exist. The world of AI is evolving rapidly. But you don't need to be a coder to take advantage of it. Here are 5 powerful platforms flying under the radar: ?? PySpur ? Build AI agents node-by-node ? Set up human-in-the-loop breakpoints ? Track execution visually at every step ? 100% open source and free ?? MindStudio ? Create sophisticated workflows without writing code ? Combine language, image, and voice models seamlessly ? Intuitive interface that simplifies complex AI operations ?? Dify ? Open-source AI application development platform ? Visual canvas for building and testing AI workflows ? Comprehensive model management and observability ? 100% open source and free ?? Langflow ? Python-based but requires zero coding ? Model-agnostic - works with any API or database ? Visual IDE for drag-and-drop workflow building ? Specialized for RAG and multi-agent applications ?? Flowise ? Create custom LLM orchestration flows ? Implement loopback mechanisms ? Integrate human approval steps ? Design conditional branching logic The democratization of AI is happening right now. These tools put enterprise-level AI capabilities in everyone's hands. No coding required. No expensive consultants needed. No technical background necessary. The barrier isn't technical knowledge anymore. It's simply taking the first step. Which of these platforms would you test first? Comment below the name or 'All" ?? We'll share direct links to the tool. If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free: Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

RAG + Vision + Agents = The future of AI applications... Basic retrieval isn't enough anymore. Why traditional RAG falls short: → Missed visual information in diagrams, charts, and images → Keyword matching fails to capture complex reasoning needs → Static retrieval can't adapt to changing user requirements → Multi-hop questions requiring context chaining 5 open-source frameworks that are taking RAG to the next level. ?? VARAG → Vision-first RAG that processes images, diagrams and documents → Includes Colpali RAG for layout-aware document processing → 100% open-source with plug-and-play components ?? Haystack → End-to-end framework supporting multiple embedding models → Technology-agnostic design works with OpenAI, Cohere, or local models → Flexible pipeline architecture for custom RAG flows → Extensive documentation and community support ?? R2R (Reason to Retrieve) → Agentic RAG with built-in reasoning capabilities → RESTful API for production deployment → Knowledge graph integration extracts entities automatically → Supports multimodal content across multiple file formats ?? RAGFlow → Deep document understanding for complex formats → Template-based chunking with visualization → Grounded citations to reduce hallucinations → Works with heterogeneous data sources including scanned documents ?? Quivr → Opinionated RAG designed for rapid integration → Compatible with any LLM (GPT-4, Groq, Llama) → Customizable with internet search and tool extensions → Focus on product development rather than RAG implementation The next generation of AI applications will combine all three elements: Vision to see what humans see. RAG to ground responses in facts. Agents to take autonomous actions. This isn't just an incremental improvement— It's a fundamental shift in how AI applications will function in the real world. Don't get left behind using yesterday's RAG techniques. Drop a comment with which framework you're most interested in ?? We'll share the GitHub link so you can start building today. If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free:? ? Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

AI agents are useful only when they can interact with the real world... Model Context Protocol (MCP) is the standard making this possible. It transforms AI from conversation partners into action-takers. Now, AI can actually see and work with your data, not just talk about it. And these 5 projects are integrating AI agents with MCP: ?? Composio MCP ? Access 250+ applications through fully managed MCP servers ? Comes with built-in authentication ? Optimizes function-calling precision for reliable automation ?? Agno's MCP Integration ? Tools to build MCP-powered agents easily in Python ? Clear patterns for error handling and resource management ? Get started with examples for filesystem and GitHub repo navigation ?? FastMCP ? Create tools, expose resources, and define prompts with Python ? Now incorporated into the official MCP SDK ? 100% opensource ?? MCP-Agent by LastMile AI ? Framework focused on composability and simplicity ? Creates agents using standardized workflow patterns ? Enables seamless interaction with MCP servers ?? LangChain-MCP-Adapters ? Integrates MCP tools directly with LangChain and LangGraph ? Wraps MCP tools for compatibility with popular frameworks ? Enhances capabilities of language models in the ecosystem These projects aren't just proving concepts. They're showing how AI can retrieve, process, and act on information, Using standardized communication. The result? Seamless, secure, and scalable agent workflows. This is how AI finally becomes practical for business. Not through more parameters or training data. But through better connections to the systems we already use. Links in comments ?? If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free:? ? Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

5 free AI agent tools you didn't know about... No, these aren't OpenAI and Google Deep Research or Operator agents, Costing minimum $20 per month. These are 100% opensource. ?? Flowise: → Low-code tool for developers → Build custom LLM flows with drag-and-drop UI → Connect LLMs with memory, data loaders, cache, and more ?? gptme: → CLI AI agent that works as your AI copilot → Executes Python and bash right from your terminal → Edits local files, searches and browses the web for you ?? Jupyter Agent: → Runs data analysis code directly in your notebooks → Handles data loading, plotting, and analysis based on what you ask → Comes equipped with common data science libraries ?? Open Operator: → Built on Stagehand, functions exactly like OpenAI's Operator → Converts your intent into browser operations → Uses Browserbase to execute those operations seamlessly ?? DeepResearch: → Jina AI's Node.js implementation → Uses Gemini, Brave/DuckDuckGo, and Jina Reader → Mimics OpenAI's search, read, and reasoning process These tools offer the same functionality as premium alternatives. But without the monthly subscription fees. That's hundreds of dollars saved every month, For the exact same capabilities. The best part? Being open-source means these tools are constantly improving through community contributions. Which of these AI agents are you most excited to try? Comment below the tool name or 'All' ?? And we'll share the direct links to get you started right away. If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free:? ? Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

5 open-source RAG frameworks nobody talks about... But should be using right away. Each one solves a specific problem that most RAG systems struggle with. Here are 5 powerful open-source frameworks you probably haven't tried yet: ?? Trieve ? All-in-one solution for search, recommendations, and RAG ? Combines semantic vector search with typo-tolerant neural search ? Self-hosting in your VPC or on-prem ?? Minima ? Enterprise-grade RAG right on your local machine ? Index documents locally with your choice of LLM - Ollama or ChatGPT ? Simple Docker Compose deployment ?? DataBridge ? Multi-modal document processing without complexity. ? Seamlessly handles PDFs, Word docs, and images. ? Takes care of ingestion, chunking, embedding, and retrieval with flexible deployment ?? MemoRAG ? Process massive contexts up to 1 million tokens with minimal code ? Uses memory models to recall query-specific information ? Creates more accurate, contextually rich responses than traditional RAG ?? Knowledge Augmented Generation ? Purpose-built for vertical domain QA systems ? Combines knowledge graphs with LLMs for superior logical reasoning ? Outperforms both traditional RAG and GraphRAG approaches The best part? Every single one is 100% open source. No vendor lock-in. No surprise pricing changes. Full transparency. Which framework interests you most? Comment below with the number (1-5) or All We'll send you direct links to the GitHub repos to help you get started. If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free:? ? Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo:https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

5 AI agent frameworks released in 2025 you didn't know about... No, these are not LangChain, CrewAI, or AutoGen. These are the hidden gems changing how we build AI agents. ?? Postman's AI Agent Builder ? Connect agents to 100,000+ APIs instantly ? Drag-and-drop visual interface requires zero code ? Provides robust testing tools ? Run locally before deploying ?? Orchestra ? Lightweight open-source framework for multi-agent apps ? Tasks are central, not conversations ? Modular architecture for LLM pipelines ? 100% opensource ?? Agno Framework ? Build Multimodal AI Agents with Python ? 5000x faster agent creation than LangGraph ? 50x lower memory usage with 100+ pre-built tools ? 100% opensource ?? Eliza AI ? Autonomous agents with consistent personalities ? Works across Discord, Twitter, and Telegram ? Built-in RAG memory and document processing ? 100% opensource ?? Lecca.io ? Build AI Agents visually, without any coding needed ? Integrates with Slack, Gmail, and Google Calendar ? Works with all major AI providers ? 100% opensource We're witnessing the democratization of AI agent development in real-time. No complex coding challenges. Visual drag-and-drop interfaces. Open-source code freely available. Drop a number 1-5, or all, in the comments ?? We'll send you the direct link to get started. If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free:? ? Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

5 AI agent applications that can save 20+ hours a week... Built with the most advanced LLMs: OpenAI GPT-4o, o3-mini, DeepSeek R1, Google Gemini 2.0, and Llama 3.2. They are 100% opensource. Step-by-step guides available completely free. ?? DeepSeek R1 RAG Reasoning Agent → Runs 100% locally on standard computers → Thinks and reasons through complex questions → Falls back to web search when needed → Complete privacy with no data leaving your machine ?? Real Estate Analysis Agent → Uses Firecrawl and OpenAI o3-mini APIs → Automatically extracts listings from multiple websites → Analyzes location trends and investment potential ?? Multimodal AI Coding Agent Team → Three specialized agents working together: → Code Writer (powered by o3-mini) → Visual Inspector (powered by Gemini 2.0) → Code Execution/Testing (E2B and o3-mini) ?? AI Competitor Analysis Agents → Combines Firecrawl, GPT-4o, and Perplexity/Exa APIs → Extracts competitor data across multiple sources → Analyzes pricing strategies and market positioning → Creates detailed reports with actionable insights ?? AI Lead Generation Agent → Uses Firecrawl API to find potential clients in online discussions → Extracts profiles and contact information → Organizes everything in Google Sheets automatically This is the reality of AI in 2025. Practical tools solving real problems. Not just mere concepts, but working solutions anyone can implement. Every tutorial is opensource with detailed, free implementation guides. Comment "guide" below to receive the step-by-step tutorials with code for all five ?? If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free: Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

Forget GPT-4.5, Claude 3.7 Sonnet, and Grok-3 for a minute... There's a whole ecosystem of AI agent frameworks emerging. 5 releases this week that developers should actually be excited about: ?? Mastra - A Typescript framework for building AI agents ? Handles agents, RAG, automated workflows, and agent ops ? Run locally or deploy to serverless cloud ? 100% opensource ?? Orra - A plan engine for multi-agent AI applications ? Solves production failures like crashes and coordination issues ? Manages orchestration between agents and execution environments ? Reduces expensive LLM calls ?? Agent Zero is fully customizable and open-source ? Writes and executes code automatically ? Creates custom tools on the fly to solve your problems ? Grows smarter with every interaction ?? GenSX - Opensource Typescript framework for agents and workflows ? Uses React-like reusable components ? Does not rely on cumbersome graph-based approaches ? Uses JSX to define the flow of data ?? Cloudflare AI Agents - Opensource framework for persistent state agents ? Agents can execute tasks and browse the web in real-time ? Call AI models seamlessly ? Deploy directly on Cloudflare's Workers platform The barrier to building production-ready AI agents is getting lower. No more struggling with complex infrastructure. No more reinventing the wheel. No more worrying about coordination failures. Which framework sounds most promising for your AI projects? Comment "link" below and we'll share direct links to all agent frameworks. If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free:? ? Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

AI just had one of its biggest days ever... OpenAI dropped GPT-4.5 today. But that's not even the biggest AI news. While everyone's talking about GPT-4.5, these 5 AI breakthroughs deserved your attention. ?? Cloudflare released an open-source AI Agent framework: ? Build AI agents that maintain state, execute tasks, and browse the web ? Call AI models in real-time ? Completely open-source ?? The first commercial diffusion-based language model: ? AI startup Inception released Mercury Coder model ? Generates text 5-10x faster (1000+ tokens/second) ? Matches or outperforms GPT-4o-mini and Claude 3.5 Haiku ?? LangChain introduced LangGraph Swarm: ? Lightweight Python library for multi-agent systems ? Specialized AI agents collaborate by dynamically passing control based on expertise ? Maintains conversation context ?? Jina AI transformed search with LLM-as-SERP: ? LLMs create results page – complete with titles, links, and snippets ? Activates the vast web knowledge already embedded in LLMs ? Solves the "search or answer directly" dilemma of AI ?? Microsoft released two new models: ? Phi-4-multimodal (5.6B parameters) with speech, vision, and text ? Phi-4-mini (3.8B) excels at reasoning, math, coding, and function calling ? Available on Hugging Face, Azure and NVIDIA Catalog The AI ecosystem is evolving faster than ever. These tools aren't just incremental improvements. They're quietly changing how we'll build with AI tomorrow. Links in comments ?? If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free: Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.

5 major AI agent releases just dropped... AI agents are officially taking over. Here's what's happening right now: ?? Replit Agent v2 now builds UI in real-time. ? Powered by Claude 3.7 Sonnet ? Shows design previews as it codes ? Eliminates the back-and-forth iteration ?? Agent Zero is fully customizable and open-source. ? Writes and executes code automatically ? Creates custom tools to solve your problems ? Grows smarter with every interaction ?? Exa AI launched Websets that find 20x more accurate results than Google. ? Deploys multiple AI agents simultaneously ? Collects complete datasets based on complex criteria ? Like finding "Bay Area engineers with Rust experience" ?? MyCoder.ai is challenging Claude Code head-on. ? Open-source command-line agent ? Creates projects from scratch ? Migrates and refactors code ? Runs multiple sub-agents in parallel ?? Factory AI created a command center for developers. ? Integrates code, docs, and communication ? Automates repetitive development tasks ? Standardizes workflows across teams ? Provides unified context throughout development The race for autonomous AI agents is accelerating. These tools don't just assist anymore. They take initiative. They solve problems without constant supervision. This shift is happening faster than anyone predicted. Links in comments ?? If you are interested in building AI Agents and RAG app, we have created 50+ tutorials and opensourced them for free:? ? Two simple steps to get started: 1.? ?Subscribe to Unwind AI (for free): https://lnkd.in/dEvJueDz 2.? ?Star the repo: https://lnkd.in/gwZJEf7J New AI Agents and RAG tutorials added every week.