DeepSeek-Reasonix: Your AI Coding Agent for the Terminal

Introduction

DeepSeek-Reasonix is a powerful DeepSeek-native AI coding agent designed to run directly in your terminal. Engineered for prefix-cache stability, it allows developers to keep it running for extended periods, providing a consistent and reliable AI assistant for coding tasks. This versatile agent supports multiple interaction methods, including a command-line interface (CLI), a dedicated desktop application, browser access, and editor integration via the Agent Communication Protocol (ACP).

Key features include:

Config-driven: Providers, agents, tools, and plugins are all declared in reasonix.toml, supporting various models without hardcoding.
Multi-model & composable: DeepSeek is a preset, but any OpenAI-compatible endpoint can be configured. It can optionally run two models together (executor + planner) in separate, cache-stable sessions.
Plugin-driven: MCP servers contribute tools, prompts, and resources, while Extension Protocol v1 sidecars can intercept runtime events and provide structured UI.
Cache-aware context maintenance: Optimizes context by injecting stable environment summaries and pruning stale tool output.
Zero-friction distribution: Distributed as a single Go binary, cross-compilable to multiple targets, making installation straightforward.

Installation

Reasonix offers several installation paths depending on your preferred usage. The CLI/TUI, desktop app, and VS Code extension all utilize the same local Reasonix engine.

Path A: CLI / TUI

Install the native binary globally via npm or Homebrew on macOS:

npm i -g reasonix                  # any OS; pulls the prebuilt native binary
brew install esengine/reasonix/reasonix   # macOS

Prebuilt archives for various platforms are also available on every GitHub release.

Path B: Desktop App

For the desktop application, visit the official download page to get the latest build for your platform (macOS, Windows, Linux).

Path C: VS Code Extension

First, complete Path A to install the CLI. The VS Code extension enhances your development experience by starting your local reasonix acp backend, adding native chat, editor context, tool-call approvals, model selection, and workspace sessions.

VS Code: Install from Visual Studio Marketplace
VSCodium / Eclipse Theia: Install from Open VSX Registry

Path D: Build from Source

To build from source, clone the repository and follow the instructions:

git clone https://github.com/esengine/DeepSeek-Reasonix.git
cd DeepSeek-Reasonix

The CLI build requires Go 1.25+. Use make build for the CLI or make cross for cross-compilation. Desktop builds require Node 24+, pnpm 10, and the Wails CLI.

Examples

Once installed, you can quickly get started with Reasonix using these commands for the CLI/TUI:

reasonix setup                      # configure a provider and model
reasonix                            # start an interactive session
reasonix run "implement the TODOs in main.go"

In an interactive session, use /init to have Reasonix create project instructions. For the desktop app, simply launch it after installation and configure your provider and model within the application.

Why Use It

DeepSeek-Reasonix stands out as a robust AI coding agent for several reasons:

Persistent Autonomy: Its prefix-cache stability allows you to leave it running, providing continuous AI assistance without constant restarts.
Flexible Workflows: Whether you prefer the terminal, a dedicated desktop app, or integration directly into your VS Code editor, Reasonix adapts to your development environment.
Advanced Control: Features like plan mode, permissions, a workspace sandbox, and per-turn checkpoints give you fine-grained control over autonomous runs, allowing for review and undo capabilities.
Extensible and Customizable: With its config-driven and plugin-driven architecture, you can easily integrate various models and extend its functionality to suit specific needs.
Simplified Deployment: Distributed as a single, self-contained Go binary, it offers zero-friction distribution across different operating systems.
Community Support: A vibrant bilingual Discord community is available for setup help, workflow showcases, and feature ideas.