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Local AI Tool Overviews

Explore what local and self-hosted AI tools do, how they work and which tasks they can help with.

500+ videos

GenOffice overview: editors, platforms and cloud AI

Overview

GenOffice

Eve, Codex and Claude Code: scheduled agent setup

Codex CLI

CocoIndex: fresh agent context and code search demo

CocoIndex

Harmonic Scout: building agent UX with Deep Agents

Overview

T3 Code setup: Claude Code, Codex and Git worktrees

T3 Code

Claude Code and Gauntlet Loop: costs and verification

Mastra Factory: setup and software delivery workflow

Overview
Setup
Tutorial

Mastra

Ollama, Unsloth and NVIDIA: quantization tradeoffs

GenOffice overview: Office files and AI service limits

Overview

GenOffice

Project AIRI, T3 Code and CapRover: developer tool overview

Prime Agent overview: RLMs and persistent coding sessions

Prime Agent

Matt Pocock Skills v1.2.0: Claude Code and Codex setup

AIRI, jcode and OpenWork: AI tools and setup overview

Meetily, OmniRoute and VoiceBox: AI tool overview

Overview

GraphRAG vs vector RAG: retrieval tradeoffs explained

Comparison
Overview

LangGraph vs agent loops: choosing an AI harness

Comparison
Overview

Kiro Crew overview: deployment, memory and agent controls

Overview

Kiro Crew

Claude and ai-job-search: job hunting workflow walkthrough

AI Job Search

AI repository comparison: Nativ, QM and codebase memory

Pithagoras vs Hermes: a local AI agent harness review

T3 Code review: managing Claude Code, Codex and Cursor

AgileRL and Arena: RL training and tool comparison

Langfuse tutorial: tracing Pi, Hermes and Claude Code

LangChain explained: concepts and when to use an SDK

LangChain