AntigmaLabs/ante

What it solves

Ante is a lightweight, self-contained coding agent that lives in the terminal. It eliminates the heavy runtime dependencies and vendor lock-in typically associated with AI coding assistants, allowing users to run high-performance agents either via cloud APIs or completely offline using local models.

How it works

Built from scratch in Rust, Ante is distributed as a single binary that embeds essential tools like Grep and git to minimize resource overhead. It uses a client-daemon architecture where clients (TUI, headless, or server) communicate with a daemon that manages tools, permissions, and LLM providers. For local inference, it integrates a managed version of llama.cpp to run GGUF models natively on the user's machine.

Who it’s for

Developers who want a fast, resource-efficient terminal agent that can be used across different model providers (Anthropic, OpenAI, Google, DeepSeek, etc.) or run fully offline for privacy and autonomy.

Highlights

• Zero Runtime Dependencies: A single Rust executable that requires no external runtimes like Node.js or Python.
• Native Local Inference: Built-in support for GGUF models via llama.cpp for completely offline operation.
• Model Agnostic: Supports a wide array of providers and allows custom provider configuration via a JSON catalog.
• Extreme Efficiency: Uses significantly less memory, CPU, and disk I/O compared to similar agents like Claude Code.
• Flexible Deployment: Offers interactive TUI, headless mode for scripts/CI, and a server mode for building integrations.