● Covered by 1 source · 1 reportLow impact1 neutral
Antigma Labs Releases Ante, an Offline-Capable Coding Agent in a Single Binary
Key points
- Ante is a ~15MB Rust binary for macOS and Linux.
- It runs offline with local inference using GGUF files.
- Achieved 82.7% on Terminal-Bench 2.1 with DeepSeek V4 Flash.
- Uses less memory, CPU, and disk I/O than Claude Code.
Introduction of Ante Coding Agent
Antigma Labs has introduced Ante, a new coding agent designed to operate as a self-contained binary. The tool is written in Rust, resulting in a single ~15MB executable that functions without external runtime dependencies. It is currently available for macOS and Linux, with Windows users recommended to use WSL.
Offline Capability and Performance
A key feature of Ante is its ability to run entirely offline, utilizing local inference with GGUF model files. This eliminates the need for API keys, accounts, or internet connectivity for core operations. The agent demonstrated an 82.7% success rate on the Terminal-Bench 2.1 benchmark using the DeepSeek V4 Flash 0731 model, aligning with DeepSeek's own reported performance for the model.
Benchmarking against Claude Code, Ante showed significant efficiency improvements, using approximately 7 times less peak memory, 9 times less average CPU, and 5 times less disk I/O for parallel tasks.
Use Cases and Installation
Ante is designed for various coding assistance tasks, including fixing bugs, reviewing code for security issues, and refactoring modules. It can also integrate with different providers like OpenAI for models such as GPT-5.5. Installation is performed via a curl command, allowing for specific release channels or installation directories.
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Primary sources
GitHub cmc_internal/api GitHub github/collect GitHub AntigmaLabs/ante GitHub _private/browser GitHub get-started/accessibility GitHub open-source/sponsorsReporting from
Antigma Labs has released Ante, a self-contained coding agent delivered as a single ~15MB Rust binary that runs offline and without runtime dependencies. This tool provides developers with an on-device AI assistant for coding tasks, offering an alternative to cloud-based services like Claude Code or Codex.