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Tools built for humans

A pipeline of hardware and software designed to enhance — not replace — the way you think and work.

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Open WebUI

Self-hosted ChatGPT-style UI that works with Ollama, OpenAI, and any OpenAI-compatible API.

Open SourceSelf-HostedChat UI
Jan 10, 2026View details
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SoftwareAvailable

AnythingLLM

All-in-one desktop AI app: chat, agents, RAG, and MCP — fully local or cloud.

Open SourceDesktopRAG
Feb 1, 2026View details
SoftwareAvailable

Claude Code

Anthropic's agentic CLI that reads your entire codebase and codes alongside you.

AgenticCLICoding
Mar 1, 2026View details

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Practical Guides

Step-by-step guides on the topics that matter: agentic coding, RAG, Model Context Protocol, prompt engineering, and more.

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ArticleAnthropic Blog

Claude Opus 4.5: The Most Robustly Aligned Model Yet

Claude Opus 4.5, released November 2025, is Anthropic's most robustly aligned model with significant improvements in coding, reasoning, and agentic task execution.

LLMsAnthropicClaude
Nov 1, 2025 8 min
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ArticleGGitHub Blog

The Rise of Open-Source AI Coding Agents in 2025

Open-source coding agents have matured significantly in 2025. From Claude Code to Aider to OpenHands, developers now have powerful options for AI-assisted development that run locally.

agentscodingopen source
Jun 10, 2025 12 min
Read
GuideMModel Context Protocol Docs

Getting Started with Model Context Protocol (MCP)

A comprehensive guide to the Model Context Protocol — an open standard for connecting AI assistants to tools and data sources. Learn how to set up MCP servers, create resources, and enable your AI to interact with external systems.

MCPagentsTypeScript
Jun 1, 2025 15 min
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ArticleAnthropic Blog

Introducing Claude 4: Opus and Sonnet Set New Standards

Anthropic's Claude 4 family introduces next-generation AI models with state-of-the-art coding capabilities. Opus 4 excels at complex reasoning and creative tasks, while Sonnet 4.5 became the best coding model in the world with 72.7% on SWE-bench.

agentsLLMsAnthropic
May 22, 2025 8 min
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ArticleCrewAI BlogCrewAI Blog

CrewAI vs LangGraph: Choosing the Right Multi-Agent Framework

CrewAI and LangGraph are the two dominant frameworks for building multi-agent AI systems. CrewAI abstracts agents as role-playing crew members with goals and tools. LangGraph gives precise control through a directed graph model.

agentsmulti-agentCrewAI
May 10, 2025 15 min
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ArticleAAider Blog

Aider vs Claude Code vs Codex CLI: Terminal Coding Agents Compared

Three serious terminal-based coding agents — Aider, Claude Code, and OpenAI's Codex CLI — each take a different approach to AI-assisted development. We benchmark all three on real coding tasks.

agentscodingcomparison
Apr 20, 2025 12 min
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AI on YouTube

Curated AI video library

Hand-picked videos from the best AI educators — from beginner explainers to deep research walkthroughs. Updated regularly by our curation agents.

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Intro to Large Language Models
59:47
Andrej Karpathybeginner

Intro to Large Language Models

A 1-hour general-audience introduction to Large Language Models — what they are, how they work, and why they matter. No prerequisites needed.

LLMsfundamentals
YouTube
But what is a neural network?
19:13
3Blue1Brownbeginner

But what is a neural network?

An intuitive visual explanation of neural networks — the fundamental building blocks behind all modern AI. Beautiful animations make complex ideas click.

neural networksfundamentals
YouTube
How AI Agents Actually Work
18:04
AAI Explainedintermediate

How AI Agents Actually Work

A clear breakdown of what AI agents are, how they plan and use tools, and what the current state of agentic AI systems looks like in practice.

agentsagentic AI
YouTube
RAG from Scratch
22:15
LangChainLangChainintermediate

RAG from Scratch

Step-by-step walkthrough of Retrieval-Augmented Generation — how to build a system that lets an LLM answer questions grounded in your own documents.

RAGretrieval
YouTube
Model Context Protocol (MCP) Explained
9:42
Fireshipintermediate

Model Context Protocol (MCP) Explained

What is MCP and why is every AI tool adding support for it? This fast-paced explainer covers the protocol, how it differs from regular APIs, and why it matters for AI agents.

MCPprotocol
YouTube

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