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This guy literally added memory across all his AI tools in under 3 minutes Here's the : https://mem0.ai/openmemory-mcp

We built a production-grade MCP server stack using FastAPI, engineered for high speed and clean modularity. It comes with built-in hosting integration and a unified storage layer, so you get a single, streamlined system instead of a patchwork of serv

🚀 Just wrapped up another portfolio project: AI Strategy Assistant, part of my ongoing journey in building agentic, RAG-powered AI systems! 🧠 What it is: A personal Streamlit-based app that simulates multi-perspective feedback (like CTO, founder,

Stop guessing which agentic AI tool fits your workflow. If you’re building agents, automations, or AI-powered systems in 2026, this guide will help you pick the right tool for the job. Top 10 Agentic AI Tools and Their Strengths: 1. n8n – Ideal for

🔍 Top Programming Languages & Tools for Exploit Development & Reverse Engineering 🛠️ 🚀 Top Programming Languages 🔹 C & C++ – Low-level access, memory manipulation 🔹 Assembly (x86, x64, ARM) – Essential for understanding binaries 🔹 Python – Sc

Greg Isenberg just shared 23 MCP STARTUP IDEAS TO BUILD IN 2025 (ai agents/ai/mcp ideas) and its amazing: "1. PostMortemGuy – when your app breaks (bug, outage), MCP agent traces every log, commit, and Slack message. Full incident report in seconds.

Hey friends, I’ve been building something close to my heart — a *portfolio project* that reimagines how AI can work as your startup team. Introducing *AgentFlow* — a *virtual office of autonomous AI agents* that think, plan, and collaborate like a le

Most people even today don't know these skills. I've explained in very simple below. 1. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 Learning how to give clear, structured, and goal-driven instructions to AI models to get accurate and useful outputs. Eg: Ch

If AI’s rapid pace feels overwhelming, trust me-everyone feels it. New models, new papers, new frameworks… it’s impossible to keep up with everything. And the good news is-you don’t have to. What actually helps is a clear path, not more noise. So I

2 frameworks powering next generation of AI apps. Here’s how LangGraph and LangChain make it happen. 𝗟𝗔𝗡𝗚𝗚𝗥𝗔𝗣𝗛 (𝘀𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽) LangGraph is a graph-driven framework for building dynamic, multi-agent AI workflows. 1. 𝗗𝗲𝗳𝗶𝗻𝗲