Practical overview
When it fits
Use Ante when a coding workflow belongs in a terminal, whether as an interactive session or a headless prompt. Choose its local-model mode when you have a GGUF file and want inference to run on your machine; use server mode when an external client needs to drive the agent.
Who it is for
- Developers who want to ask an agent to work on code from a terminal.
- Teams or tool builders connecting an agent to editor plugins or other clients.
- Developers seeking to configure different agent profiles or use local GGUF inference.
Documented uses
- Ask an agent to find and fix a failing test or make a code change.
- Pass a Git diff to the agent for review.
- Run coding prompts in scripts or CI through headless mode.
- Drive Ante programmatically through server mode.
- Coordinate interactive agent sessions in terminal windows.
Requirements & limits
The project identifies macOS and Linux as supported platforms and labels Ante a beta preview. Its README lists Apache-2.0 licensing.
- Ante is distributed as a single Rust executable with no runtime dependencies.
- The documented modes include an interactive TUI, headless CLI, server, and gateway.
- Local inference uses GGUF model files and is described as requiring no API key, account, or internet connection.
- Terminal orchestration through
/termrequires tmux and the agent CLIs being launched. - The project warns that preview software may have breaking changes and incomplete functionality.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Install Ante and start an interactive session
Install the self-contained CLI and open its terminal interface.
Before you start
- macOS or Linux
- A shell with curl available
Steps
Run the command below.
curl -fsSL https://ante.run/install.sh | bashRun
anteto open the interactive terminal interface.
Expected outcome
Ante is installed and its interactive terminal interface starts.
Guide limitations
- Ante is a beta preview; breaking changes and incomplete functionality are possible.
- Windows is not listed as supported; the project suggests WSL.
Send a one-shot coding task to a local model
Run a headless prompt using a local GGUF model.
Before you start
- Ante installed on macOS or Linux
- A GGUF model file available locally
Steps
Choose the path to the local GGUF model file.
Run
ante --offline-model -p "".
Expected outcome
Ante sends the prompt to the locally supplied model through its offline mode.
Guide limitations
- The guide does not prescribe a model download or hardware requirements.
Compare options for AI coding assistance
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Ante | Ask an agent to find and fix a failing test or make a code change. | CLI, Linux, macOS | The project identifies macOS and Linux as supported platforms and labels Ante a beta preview. Its README lists Apache-2.0 licensing. |
| Llmcode | Inspect a project's directory structure with `/tree`. | CLI | The documented setup requires an API key and supports an API base URL and model setting. The project is open source under Apache-2.0. |
| Klaat Code | Open a project directory for terminal-based coding assistance. | CLI, Server | The README provides a global npm installation command and documents browser sign-in with a KlaatAI account. It also identifies the repository as open source under Apache 2.0. |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 10 October 2026
- Original website title
- AntigmaLabs/ante · Official homepage title · retained in its source language