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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

Open Generative AI: image and video API overview

Overview

Open Generative AI

Qdrant setup: Docker, Kubernetes and managed cloud

Qdrant

marimo and WigglyStuff: Python widget debugging tutorial

marimo

Graphiti and Zep: how graph memory tracks sources

Overview

Repomix, CodeGraph and Dify: AI repository overview

Overview

Voicebox, Meetily and more: AI tools and setup workflows

LangGraph and LangChain: LinkedIn hiring agent architecture

Overview

Codex, DeepTutor and OpenCut: GitHub tools overview

llama.cpp, vLLM and ODS: inference stack comparison

Comparison
Overview

n8n, Forgejo and Audiobookshelf: homelab workflows

Overview

n8n

LM Studio Bionic: local coding and cloud tradeoffs

LM Studio

Crawl4AI and Instructor in a 12-tool AI stack overview

Overview

Chonkie
+8 more

LM Evaluation Harness: GSM8K benchmarking tutorial

DeepEval
lm-evaluation-harness

Frontman, Diction and Jarvis: self-hosted AI overview

Overview

LobeHub overview: Multi-agent workspaces and self-hosting

LiteRT.js vs TensorFlow.js: browser motion capture demo

Comparison
Overview
Review

LiteRT

Deep Agents: LangChain architecture and deployment overview

Overview

Cognee 1.0 launch: graph memory for Claude Code

Cognee

MOSS-TTS: Persian speech generation with the Python API

MOSS TTS

OmniRoute, BirdNET-Go and TaskView: local tools overview

Overview

herdr tutorial: manage coding agents and remote sessions

deja-vu and local agent tools: GitHub weekly overview

Inkling: setup with Transformers and llama.cpp

Cua Driver overview: background agents and CUABench

Overview

Cua