Open source

Blog posts tagged “Open Source”


How to Self-Host Mistral Large 4 and Reach It From Anywhere

Mistral Self-Hosted AI Open Source

Mistral Large 4 ships open weights: 1T parameters, 49B active, 1M context. Here is what it takes to serve it with vLLM on one 8-GPU node and expose the API safely with a Pinggy tunnel.

Best Computer Use MCP Servers in 2026: Let AI Agents Control Mac, Windows and Linux

MCP AI Agents Automation

The best computer use MCP servers in 2026, tested: Claude Code's built-in computer-use, Windows-MCP, Cua Driver, Peekaboo, Open Computer Use, macOS-MCP, computer-use-linux and computer-use-mcp, with install commands, tool counts, permissions, and how to reach a remote desktop over a Pinggy tunnel.

Best Open Source Jev Alternatives: 5 Self-Hosted Decision Models

AI Models Open Source Self-Hosted AI

TypeSafe's Jev is closed, hosted and waitlisted, so the open reimplementations started landing within a day. Laya, Kev, SemIf, NanoJev and jevlike, ranked by GitHub stars, with latency measured on an M3 Pro, the independent benchmark where Jev still wins on accuracy, and what each one actually needs to run.

Cloud in a Bottle Wants Self-Hosting to Feel Like Using a Smartphone

Cloud in a Bottle Self-Hosted Open Source

Imbue's new open-source personal cloud platform packages containerized self-hosted apps behind one login and one router. It's a genuinely different take on self-hosting, but its own docs admit the networking story isn't solved yet - here's the gap and how to close it today.

Self-Host Hermes Agent for Free with OpenRouter's Free Models

Hermes Agent AI Agents Self-Hosted AI

How to install Nous Research's open-source Hermes Agent on your own machine and run it at zero token cost on OpenRouter free models - the tool-calling and 64K context requirements, the request limits that actually bite, a free-model fallback chain, and remote access over a tunnel.

AI Crawlers Now Cost More CPU Than All Your Real Traffic Combined

AI Crawlers Self-Hosted Open Source

git.kernel.org now spends more CPU rendering pages for AI training scrapers than on every git clone and legitimate visit combined. Here's what the numbers say, why proof-of-work challenges like Anubis are winning and losing at the same time, and what it means for anyone running their own infrastructure.