Wanderloots

Hermes is an AI agent that improves over time by learning from user workflows, unlike most static AI tools. It automatically identifies recurring patterns, creates reusable skills, and applies them to similar future tasks without explicit training.

This tutorial demonstrates how to access a single Hermes AI agent from multiple devices using Tailscale VPN and a remote dashboard setup, enabling unified session history, centralized file access, and continuous memory across laptop and desktop without fragmentation.

This tutorial demonstrates how to safely run AI agents like Hermes inside Docker containers to sandbox code execution and prevent unauthorized access to sensitive files on your computer. By configuring Docker volumes and mounting specific folders, users can give agents access to only the files they choose while keeping code execution isolated from the main system.

This tutorial demonstrates how to set up and use Hermes, an open-source AI agent by Nous Research that learns and evolves over time through persistent memory and automated skill generation. The video covers local model setup with Ollama, cloud model integration with OpenAI, messaging gateway configuration via Telegram, and creating a self-improving daily AI briefing automation.

The video introduces local AI models as a privacy-preserving alternative to cloud-based AI services. By running AI assistants locally on your computer, users can maintain complete control over their data while leveraging AI capabilities for personal tasks like analyzing notes and answering work-related questions.

This video introduces the concept of an 'LLM Wiki' built in Obsidian — a structured knowledge system where AI agents automatically extract and organize concepts from raw information. The presenter explains that the goal is to transform information into persistent, accessible knowledge. This episode focuses on the practical setup, following a prior video that covered the rationale.

Callum (Waterloo Loot) demonstrates a three-plugin 'smart loop' workflow in Obsidian using Smart Connections, Smart Context, and Smart Chat to solve the problem of losing notes and context over time. The workflow follows a discovery-preparation-use cycle that helps users surface relevant notes, bundle them into reusable context, and optionally pass that context to AI while keeping chat threads linked to specific projects. The entire system is built on a shared 'smart environment' vector database layer that automatically updates context bundles as notes evolve.

Callum, a former IP lawyer, explains the concept of knowledge graphs and introduces the 'LLM Wiki' — a separate, AI-maintained structured knowledge base that allows multiple AI tools to share the same persistent, interlinked information. He contrasts standard RAG retrieval with graph RAG, arguing that a structured wiki layer dramatically improves how AI handles complex, multi-source knowledge.

The video demonstrates Consensus AI, an academic search platform that searches over 220 million peer-reviewed papers using an agentic 'Scholar AI' system. The presenter walks through deep research workflows, library management, Zotero integration, and a citation graph feature that visually maps relationships between papers across time.

The video demonstrates Recall's new chat feature that allows users to build and query a personalized knowledge base using their own curated notes and sources. The speaker argues that curating custom knowledge is essential for standing out in an AI-dominated world where everyone gets the same generic answers.

The speaker introduces the concept of 'vibe designing' as a crucial first step before AI coding, arguing that design problems rather than coding problems are the root cause when AI builds something different than intended. They demonstrate how Google Stitch can create interactive previews from multiple screens.

Google AI Studio has been upgraded from a simple prototyping sandbox to a comprehensive full-stack app builder. The video explains how Google addressed three major limitations: lack of backend infrastructure, absence of coding agents for complex development, and limited sharing capabilities.

A tutorial demonstrating how to add a backend database to an app using anti-gravity and MCP tools to enable cross-device data syncing. The presenter explains how backend databases solve the problem of data not syncing between devices when saved locally.

This tutorial demonstrates Google Stitch's vibe design approach, where users create visual designs first before building apps with AI. The presenter shows how to design an interactive NASA Artemis dashboard prototype and export it to coding tools like Google AI Studio and MCP-connected agents.