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.