Unwind AI

Moore's Law for AI agents is real... And it's doubling every 7 months. The research is clear. AI agents today can handle tasks that take humans an hour. By 2030, they'll tackle month-long projects independently. This isn't speculation. It's math. When researchers tracked AI capability over time, they found: ? AI success correlates directly with human task time ? This capability doubles every 7 months ? The trend has held steady for 6 years ? It works across multiple benchmarks and models Think about what this means. Current top AI agents are reliable on tasks that take experts minutes. They occasionally succeed at hour-long tasks. They fail at anything taking days. That's today. But with each doubling period: 4-minute tasks become 8-minute tasks 1-hour tasks become 2-hour tasks 1-day tasks become 2-day tasks The progression is relentless. And it's happening much faster than most realize. This creates both opportunity and urgency. The skills that matter will shift. The jobs that remain will transform. The businesses that thrive will adapt. Here's the hard question: Are your skills AI-complementary or AI-replaceable? This isn't about distant future technology. This is about the next 2-5 years of your career. Most aren't prepared for the pace of this change. Are you? 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.

OpenAI's new speech models just dropped... Along with a new Voice Pipeline in the Agents SDK. While everyone's rushing to try them to build voice AI agents, These 5 open-source frameworks have been quietly building voice AI for months. 100% free. 100% open. We bet you didn't know about these: ?? Vocode: ? Builds real-time streaming conversations. ? Handles calls and Zoom meetings seamlessly. ? Executes complex tasks through voice commands. ?? LiveKit Agents: ? Processes conversations in real-time. ? Supports advanced features like RAG and function calling. ? Manages turn detection with surprising accuracy (demo below). ?? Pipecat: ? Orchestrates multiple AI services at once. ? Simplifies audio processing complexity. ? Transforms raw audio into meaningful interactions. ?? Agno: ? Creates agents with robust memory systems. ? Processes both audio input and output naturally. ? Builds conversational experiences that feel human. ?? Vapi (not completely opensource): ? Provides open SDKs across major platforms. ? Handles sophisticated conversation management. ? Delivers responses with minimal latency. Yes, OpenAI's latest release is impressive. But these frameworks show something important: Innovation happens in the open too. They just didn't have a massive PR team. Which framework interests you the most? Let us know in the comments down below ?? We'll share links to all the 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.

Everyone's talking about OpenAI's Agent SDK... But 5 AI agent frameworks came out this month with zero fanfare. And they are 100% opensource. Each offers unique capabilities for your agent application. The AI agent landscape is far richer than headlines suggest. Here are the gems you might have missed: ?? Agent Zero →?Personal agentic framework that grows and learns with you →?Uses your computer as a tool to accomplish any task →?Creates and executes tool on-the-fly using terminal commands ?? Motia →?Build AI agents in any language you like →?Mix and match languages in the same agent →?Visualize your agent in real-time and deploy in one command ?? Dapr Agents →?Runs 1000s of agents efficiently on a single core →?Build resilient agent workflows ensuring task completion →?Agents can scale to 0 when idle and boot in milliseconds ?? AgentKit by BCG X →?LangChain-based starter kit to build Agent apps →?Quickly experiment on your constrained agent architecture →?Flexible, reactive UI/UX designed for Agents ?? Cloudflare agents-sdk →?Agents maintain state across conversations →?They can browse the web in real-time →?Can call AI models when needed →?They persist, learn, and grow over time While tech giants battle for attention, developers quietly build the tools that will power tomorrow's AI infrastructure. These frameworks represent not just alternatives, but entirely different approaches to the agent problem. The question isn't which one is best— It's which one aligns with your vision for how agents should work. Big tech announcements drive the conversation. Open source drives the innovation. 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.

An AI agent?just caught a security token leak before it hit production... That could have cost someone their job. Code review isn't just about finding typos. It's about catching the issues humans miss: ? Logic bugs that invert conditions ? Security vulnerabilities exposing tokens ? Performance bottlenecks blocking parallel execution ? Edge cases breaking macOS compatibility ? Accidental commits that bypass critical checks Diamond AI agent by Graphite is different from other AI code reviewers. It doesn't hallucinate. It doesn't create noise. It understands your entire codebase, not just the diff. The most valuable feedback? The bugs are caught before your human reviewers ever see them. Diamond integrates with zero setup. Just connect your repo and it starts working. You can even customize rules: "Always use undefined instead of null" "No double ternary statements" "Don't allow TODOs without a ticket" And it's completely free for up to 100 PRs per month. You need to try it out. What bugs are hiding in your code right now? Link 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.

Build a multi-agent researcher that can research on any topic fully autonomously... While you focus on what matters. This multi-agent system transforms how research gets done: → Tell it what you want to know about → Watch as it plans, researches, and writes for you → Get a comprehensive report with proper citations Here's how it works behind the scenes: ?? Three specialized AI agents collaborate seamlessly → The Triage Agent creates a structured research plan with specific search queries and key focus areas. → The Research Agent searches the web and gathers relevant information, saving important facts with source attribution. It ignores fluff and captures only essential insights. → The Editor Agent compiles everything into a comprehensive report with proper citations, organized sections, and a downloadable markdown file. The entire system is built with OpenAI's Agents SDK and Streamlit for a clean user interface. What's most impressive is how these agents coordinate: → When one agent completes its task, it automatically hands off to the next → All agents share context about what's been learned → The system maintains source attribution throughout → You can trace exactly how information flows between agents We've tested it on topics from "affordable espresso machines" to "off-the-beaten-path destinations in India" The reports are consistently thorough and well-structured. The best part? This isn't just a concept - it's a fully functional app you can build yourself. 100% opensource with step-by-step instructions. For anyone doing research for work, school projects, or just personal interest, this could be a game-changer. Want to build it yourself? Comment 'Yes' below ?? We'll share a direct link to the step-by-step tutorial and full code. 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.

OpenAI released Agents SDK this week... But you didn't have to wait for OpenAI to release it. Here are 5 AI agent frameworks to build multi-agent applications. 100% opensource. No, these are not LangChain or CrewAI. ?? AutoAgent → Create and deploy AI agents from simple English prompts → Native self-managing vector database → Build ready-to-use?tools,?agents?and?workflows?- no coding required ?? Agno → Build Multimodal Agents with memory, knowledge and tools →?~10,000x faster than LangGraph (watch performance yourself ??) → Track agent sessions and performance in real-time ?? AWS Multi-Agent Orchestrator → Routes queries to the most suitable agent → Fully implemented in both Python and TypeScript → Variety of ready-to-use agents ?? Pydantic AI → Python agent framework to build production grade apps → Seamlessly integrates with Pydantic Logfire → Structured outputs ?? Mastra → TypeScript framework to build RAG, AI Agents and workflows → Switch between LLMs with a single line of code → Graph-based workflows for precise control Every single one is fully 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 share 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.

Basic RAG worked in 2024. It's not enough in 2025. Visual information context gets lost. Users ask complex questions Hallucinations creep in. Here are 5 advanced RAG architectures that you need to know, Along with 100% opensource frameworks to implement them. ?? Hybrid Search RAG ? Combines vector search with keyword matching ? Catches terms that semantic search misses ? Balances recall and precision intelligently ??? Build it with R2R - complete with multimodal capabilities. ?? Agentic RAG ? Uses AI agents to control retrieval and generation ? Enables multiple retrieval iterations based on initial results ? Can use tools and adapt strategies as needed ??? Build it with Agno - lightweight framework for building multimodal AI agents ?? Corrective RAG (CRAG) ? Implements a verification loop after generation ? LLM grades its own response against source material ? Identifies and fixes inconsistencies automatically ??? Build it with LangChain or LangGraph ?? HyDE RAG ? Flips the retrieval paradigm on its head ? Generates hypothetical answers to guide document search ? Perfect for questions where users struggle to articulate needs ??? Build it with Haystack - robust and production-ready RAG framework ?? ColPali RAG ? Processes documents visually, preserving layout information ? Understands tables, charts, and spatial relationships ? Critical for financial statements, legal contracts, and technical diagrams ??? Build it with VARAG - a vision-first RAG engine Each of these approaches addresses different RAG limitations. The beauty is all these frameworks are open-source. No enterprise pricing tiers. No vendor lock-in. Which RAG technique are you interested in trying? Comment below the name or "All" ?? We'll share direct links to implementation guides for each technique in response. 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.

Computer Use AI agent just outperformed OpenAI Operator and Anthropic Computer Use... It's completely opensource and free to use. Simular's Agent S2 is changing how AI automates tasks. Agent S2 can use your computers and smartphones fully autonomously. ?? No need for special APIs or accessibility trees.? ?? Available under Apache 2.0 license. ?? Works with LLMs from OpenAI, Anthropic, Ollama, and more. The results are impressive: → 34.5% accuracy on OSWorld's 50-step evaluation (beating OpenAI Operator)? → 50% accuracy on AndroidWorld benchmarks? → Fully modular architecture that learns continuously What makes Agent S2 different? ?? Proactive Hierarchical Planning? → Dynamically updates plans after each subtask completion? → Combines specialized models for low-level execution with generalized models for high-level strategy ?? Visual Grounding? → Operates solely on raw screenshots → Uses specialized visual grounding models ?? Agentic Memory Mechanism? → Retains experience from previously completed tasks? → Creates foundation for long-term adaptive intelligence Getting started is super simple: You can download it today from GitHub.? Install via pip and integrate it using the gui-agents SDK.? It supports OpenAI, Anthropic, and local models. Open source is shaping the future of AI. Link 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.

AI agents that can search the web, control your computer, and do RAG on your files... All with a single API. OpenAI just released the new Responses API. It combines Chat Completions simplicity with Assistants API. No more juggling multiple APIs or external vendors. This single API with built-in tools transforms what AI can do: ?? Web Search ? 90% accuracy on factual questions ? Clear citations to source material ? No more hallucinations on current events ?? File Search (RAG without the hassle) ? Model retrieves information in a knowledge base ? Custom reranking automatically applied ? Uses semantic and keyword search ?? Computer Use (the game-changer) ? AI can control mouse and keyboard actions ? Uses CUA model that powers OpenAI Operator ? Access systems without APIs ? Set a record 38% success on OSWorld benchmark The most impressive part? A single API call can solve complex tasks using multiple tools and model turns. This isn't just a developer convenience. It's the foundation for AI that can truly act on your behalf in the digital world. The age of cobbling together LLMs with external tools is ending. The age of autonomous AI agents is beginning. 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.

China's Manus AI just built its own open-source alternative… And the entire project took 25 minutes. No, this isn't a typo. An AI agent actually created its own alternative framework. Here's what happened: → Someone prompted Manus AI to create an open-source framework.? → The AI designed the architecture, wrote all the code, and generated comprehensive documentation.? → The result: ANUS (Autonomous Networked Utility System). The human's only job? Push it to GitHub using Cursor. While companies charge thousands for AI agent access,? ANUS delivers similar capabilities completely free. What can this framework actually do? ?? Powerful Capabilities:? → Execute complex tasks through simple instructions? → Process documents, automate web interactions, and execute code? → Handle multimodal inputs including text, images, and audio ?? Multi-Agent Collaboration:? → Deploy specialized agents for research, coding, planning, and analysis? → Switch seamlessly between single-agent and multi-agent power? → Enable inter-agent communication and consensus decision-making ?? Intelligent Architecture:? → Dynamic task planning that breaks complex problems into steps? → Short and long-term memory systems for context retention? → Transparent reasoning showing exactly how decisions are made ?? Security & Flexibility:? → Secure sandboxed environments for code execution? → Model support for both OpenAI and open-source models? → Fine-grained permission system for controlled access The implications are massive. ? Why pay $20K/month for proprietary AI agents when an AI-built alternative exists for free? ? Why wait for invite codes when you can deploy this framework today? This isn't just about cost savings.? It's about democratizing access to agent technology. We're witnessing something unprecedented:? AI creating tools to make itself more accessible. 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.