Antigravity SDK Now Runs Gemma 4 on Your GPU
Google's Sept. 23 Antigravity SDK post adds local Gemma 4 26B via LiteRT. The hybrid demo kept 97.2 percent of tokens on the machine and spent 95 in the cloud.
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Google's Sept. 23 Antigravity SDK post adds local Gemma 4 26B via LiteRT. The hybrid demo kept 97.2 percent of tokens on the machine and spent 95 in the cloud.
On-demand compaction landed around Sept 14. How to call compact-2026-09-04, swap the signed block, and why this is not a memory store.
Herdr is a Rust multiplexer that keeps Claude Code, Codex, and friends alive when you close the lid. Install it, split panes, detach. It is not tmux with a coat of AI.
LM Studio Bionic adds MCP apps, project files, and a local-or-cloud model switch on top of the old chat window. Here is how to pick a model for your RAM and stop sending the repo to a subscription API.
Step-by-step guide to creating a fully offline voice assistant using OpenAI Whisper for speech recognition, Ollama for LLM inference, and Piper for text-to-speech.
A step-by-step tutorial for running AI models on your own hardware using Ollama and Open WebUI — no cloud subscriptions, no data leaving your machine.
Claude Code is more than a coding chatbot. Learn how to set up event-driven hooks, custom skills, and MCP integrations to turn it into an automated development workstation — with real configuration examples.
A step-by-step beginner's guide to building collaborative AI agents using CrewAI, the fastest-growing multi-agent framework of 2026.
Memory systems are the defining feature of AI agents in 2026. This tutorial covers short-term memory, long-term storage, vector database integration, RAG architecture, and real-world deployment patterns.
Learn how to build a practical research agent with OpenAI Agents SDK, Responses API, and Hosted MCP Tool. This guide focuses on architecture, approvals, and tool boundaries instead of toy demos.
Detailed tutorial on building real autonomous AI agents from scratch in 2026, including framework selection, tool integration, multi-step reasoning implementation, and production deployment best practices.
AI tools have become essential for boosting work efficiency. This article shares five practical tips—from AI chatbots and search engines to knowledge management and meeting assistants—to help you significantly improve productivity in your daily work.
Learn MCP from scratch — build standardized AI Agent tool integrations with complete code examples, architecture design, and best practices.