Search Results for "slitaz-linux"

Codex Mobile is a lightweight bridge that exposes Codex app-server workflows through a browser-accessible interface. It is designed to let users run a Codex-style UI on Linux, Windows, or Termux-powered Android setups. The project starts a local web server with one command, then lets the user open the interface from the same machine, a LAN device, or another reachable connection. It can also create a Cloudflare tunnel by default, making remote access easier when the local setup allows it. Codex Mobile is useful for developers who want to control coding-agent sessions from a phone, tablet, remote browser, or nonstandard environment. ...

AnyClaw is an Android-based AI assistant platform that combines OpenClaw, OpenAI Codex CLI, and OpenClaude (formerly Claw Code) into a single mobile application. It enables users to run advanced AI coding agents directly on their Android devices within a self-contained Linux environment. The platform provides conversational coding, agent routing, multi-threaded sessions, and automation capabilities without requiring root access or external servers. AnyClaw includes a full dashboard for managing chats, skills, tools, and AI workflows from a mobile interface. With support for multiple AI providers, users can interact with OpenAI, Claude-compatible, and local models through a unified experience. ...

The AI-powered coding wizard with multilingual support, auto code generation, and a helpful bug-slaying assistant. Customizable prompts and a magic Auto Dev/Testing/Document/Agent feature are included.

Adaptive Intelligence is the implementation of neural science, forensic psychology , behavioral science with machine-learning and artificial intelligence to provide advanced automated software platforms with the ability to adjust and thrive in dynamic environments by combining cognitive flexibility, emotional regulation, resilience, and practical problem-solving skills.

While coding with AI assist, I noticed bigger projects need something more rigid as context so the AI coder doesn't stray away when I try to add new features. You know, to keeps its memory fresh and not change the stuff that already works. The trick is to ask the AI to write a diagram in Mermaid.js format that solidifies the structure of the project and then use that as context to keep the AI reminded at all times what the project is as a whole. This will prevent it from changing things...