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AntigmaLabs Ante: Lightweight Self‑Contained Agent Harness

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Ante is a self‑contained coding agent harness from AntigmaLabs that lives in your terminal. It ships as a single 15MB Rust binary with zero runtime dependencies, works on macOS and Linux (Windows via WSL), and mirrors the capabilities of Claude Code or Codex without their model constraints.

It continuously evaluates on Terminal‑Bench 2.1, handling 89 tasks with 5 trials each. The latest full run scored 82.7% using Deep Seek V4 Flash 0731 (368/445 trials, about $68 inference), and shows 7× less peak memory, 9× less average CPU than Claude Code across the same 20 parallel Docker tasks.

Ante can run fully offline by pointing it at any GGUF model file; no API key, account, or internet is required. Example: ante --offline-model ~/.ante/models/Qwen3.5-9B-Q4_K_M.gguf -p "add error handling to src/main.rs".

Installation is a one‑liner: curl -fs SL https://ante.run/install.sh | bash, with options for nightly or custom paths. The project is Apache 2.0 open source, supports 12+ providers, and enables multi‑agent orchestration, making it a tiny, verifiable substrate for self‑organizing intelligence. Its lightweight design also means it can be deployed on many machines without heavy resource overhead. Developers can verify its behavior through public benchmark runs and audit the raw Harbor logs.