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11 articles
This article explains Perplexity's new Portable Computer system, which enables local AI inference with enhanced privacy, security, and performance through a model harness, OS-enforced sandbox, and zero per-token cost for local steps.
Learn to set up and run Meta's Muse Glimmer 30B model locally on consumer GPUs for AI agent development, code generation, and function calling.
Learn how to set up and use Ollama to run local AI models, avoiding expensive cloud-based subscriptions and gaining more control over AI usage.
Learn what local AI means and why running AI directly on your computer offers privacy and convenience benefits. Discover how Shadowfetch brings this technology to Linux users.
Learn how fine-tuning allows developers to create small, local AI models that can think and reason like larger systems, all while running on your own device.
WebBrain is a new open-source, local-first AI browser agent that reads web pages and automates tasks in Chrome and Firefox, supporting both local and cloud-based AI models.
Moonshot AI launches Kimi Work, a local desktop agent for macOS and Windows, powered by a 300-sub-agent swarm and running on Kimi K2.6.
Learn how to set up and run local AI agents on Windows using the OpenClaw framework concepts. This beginner-friendly tutorial teaches you to build AI assistants that work directly on your PC.
Learn how to set up OmniVoice Studio, a local, open-source alternative to ElevenLabs, for voice cloning and text-to-speech functionality without cloud dependencies.
Oppo open-sources X-OmniClaw, an Android AI agent that uses camera, screen, and voice locally to automate tasks without leaving the phone.
Google's Gemma 4, NVIDIA's RTX AI PCs, and OpenClaw are paving the way for local agentic AI, eliminating the need for costly cloud-based token fees.
