Self-contained agents that self-organize Ante, a new AI-native agent runtime built in Rust, launched as a single self-contained binary with zero external dependencies, enabling fully offline coding through a one-command install and local inference via llama.cpp. The runtime supports multiple model providers including Anthropic, OpenAI, Gemini, Grok, and Open Router, and is designed for cellular-native agents that are lightweight, reliable, and self-healing. One install command. Pick a model. Start coding. No accounts, no configuration files, no setup guides. Go offline in one command Type /offline-mode — Ante installs a local inference engine. No API keys, no internet. Configure the model Choose your model, set context window, enable thinking mode. Tuned to your hardware. Agent does the work Give it a task. The agent reads your codebase and produces working output — fully offline. MEET ANTE AI-native, cloud-native, local-first agent runtime Built from the ground up in native Rust — a single self-contained binary with no external dependencies. Designed for cellular-native agents: lightweight enough to run by the thousands and reliable enough that the system self-heals when any one fails. Lightweight agent core A single lightweight binary with zero runtime dependencies. Built for minimal overhead and maximum throughput — the ideal runtime for orchestrating agents at cellular scale. Native local models Run models entirely on your machine with built-in llama.cpp integration. No API keys, no internet, no data leaving your device. Zero vendor lock-in Bring your own API key, subscription, or local model. Switch between providers freely — Anthropic, OpenAI, Gemini, Grok, Open Router, and more. No account required. Built on first principles Ante is designed for cellular-native agents — like cells in a living organism, tiny and expendable, massively replicated. Everything we build serves this thesis. Lightweight Hundreds of agent replicas can't each cost gigabytes. Every byte per instance matters at scale — so we maintain a tight, tiny core. Reliable The return on reliability is non-linear. There's a phase transition — and you need to be on the right side of it. Closed-loop Declarative intent, automatic reconciliation. Individual agents are expendable; the organism persists. Minimal cognitive load Fewer concepts to learn, fewer knobs to turn. If a feature needs a paragraph of explanation, it's probably too complex.