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ante

by AntigmaLabs1.9kRustUpdated 2026-09-04

Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints.

Ante is a lightweight, self-contained AI coding agent built in Rust that operates entirely from the terminal with zero runtime dependencies. The binary compresses to ~15MB and includes an embedded llama.cpp engine for fully offline operation with local GGUF models, eliminating the need for API keys or cloud services. It supports multiple LLM providers (Anthropic, OpenAI, Google Gemini, DeepSeek, and more) while consuming approximately 7× less memory and 9× less CPU than comparable agents. Ante can run in interactive TUI mode, headless for scripting and CI, or as a server daemon for editor integrations.

Key Features

Single 15MB Rust binary with no external dependencies or runtime requirements
Built-in llama.cpp engine for fully offline inference with local GGUF models
Multiple operation modes: interactive TUI, headless CLI, server daemon (JSONL protocol), and gateway for Slack/Discord bots
Profile-based configuration system allowing multiple agent personalities from one binary
Support for 17+ LLM providers including Anthropic, OpenAI, Gemini, Grok, DeepSeek, and OpenAI-compatible endpoints
Continuously benchmarked on Terminal-Bench 2.1 with public, reproducible results (82.7% with DeepSeek V4 Flash)
7× lower memory footprint and 9× lower CPU usage compared to similar agents
Session resumption, persistent memory, skills, MCP server support, and multi-agent orchestration

Use Cases

  • 01Running AI-assisted coding tasks entirely offline on local hardware without API dependencies
  • 02Executing automated code reviews, refactoring, and bug fixes in CI/CD pipelines via headless mode
  • 03Building custom agent harnesses with different tool sets and system prompts using named profiles
  • 04Integrating AI assistance into editors and IDEs via the server mode JSONL protocol
  • 05Deploying resource-efficient coding agents in containerized or memory-constrained environments
  • 06Creating chatbot integrations for Slack or Discord using gateway mode

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ante — FAQ

What is Ante?+

Ante is a self-contained AI coding agent built in Rust that runs in your terminal with zero dependencies. It works like Claude Code or GitHub Copilot but without vendor lock-in, supporting any LLM provider or fully offline local models via built-in llama.cpp.

How do I install Ante?+

Run `curl -fsSL https://ante.run/install.sh | bash` to download and install the binary. No additional dependencies or runtime are required. The installer supports custom channels (nightly) and installation directories.

Can Ante run completely offline without API keys?+

Yes. Ante includes a managed llama.cpp inference engine. Point it at any GGUF model file with `ante --offline-model ~/.ante/models/model.gguf -p "your task"` and it runs entirely on your machine without internet access.

Which AI providers and models does Ante support?+

Ante supports 17+ providers including Anthropic (Claude), OpenAI (GPT-5.x), Google Gemini, Grok, DeepSeek, Open Router, and any OpenAI-compatible endpoint. You can add custom providers via `~/.ante/catalog.json` configuration.

Is Ante free to use?+

The Ante binary is free to use during the alpha preview, including for commercial purposes, under the Binary Preview Terms. The SDK, protocol, and documentation are Apache 2.0 licensed. You provide your own API keys or use local models.

How do I integrate Ante with my editor or other tools?+

Run `ante serve` to start Ante in server mode, which communicates over a structured JSONL protocol via stdio or WebSocket. This enables building editor plugins, web UIs, and custom integrations on top of the agent runtime.

How do I install ante?+

Open the source repository on GitHub and follow its README. ante is a agent — MCP Agents Market links you directly to the official repo.

Is ante free?+

ante is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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