MIT 许可、DeepSeek 原生编程智能体，单 Go 二进制交付，支持终端、桌面、浏览器与编辑器（ACP）四种入口；独立运行，README 未描述与 DeepSeek Harness（dsh）的集成。
DSH 适配
生态相关
作者声明
安全审计
未审计
最后核验
2026-08-21
许可证
MIT
01它能帮你完成什么？
Run long autonomous coding tasks from the terminal with an agent you can leave running
Code changes produced by a single local engine, guarded by plan mode, permissions, a workspace sandbox and per-turn checkpoints so runs stay readable and undoable
Developers who want a DeepSeek-native coding agent for long unattended terminal sessions
Drive the same local Reasonix engine from your editor
Native chat, editor context, tool-call approvals, model selection and workspace sessions in VS Code / VSCodium / Eclipse Theia via the `reasonix acp` backend
Developers who prefer coding-agent sessions inside their editor instead of a separate terminal
02如何接入 DeepSeek Harness？
前置条件
- npm on any supported platform, or Homebrew on macOS, for the prebuilt native binary path
- Go 1.25+ only if building the CLI from source (desktop builds additionally need Node 24+, pnpm 10 and the Wails CLI)
安装步骤
- 01
Install the CLI: `npm i -g reasonix` (any OS; pulls the prebuilt native binary) or `brew install esengine/reasonix/reasonix` (macOS)
$ npm i -g reasonix
- 02
Run `reasonix setup` to configure a provider and model
- 03
Start an interactive session with `reasonix`, or run a one-off task with `reasonix run "implement the TODOs in main.go"`
验证接入成功
作者未说明
03DSH 适配与能力边界
Standalone DeepSeek-native coding agent — the README describes no DeepSeek Harness (dsh) integration; ecosystem-level relation via the built-in DeepSeek model preset
Autonomous coding runs across four entry points
a task or prompt from the terminal CLI/TUI, desktop app, browser, or an editor over ACP→code changes from one local engine, with plan mode, permissions, a workspace sandbox and per-turn checkpoints
the agent writes and modifies project files in your workspace during a runmodel calls go to the configured provider endpoint over the networkConfig-driven multi-model engine
a `reasonix.toml` declaring providers, the agent, enabled tools and plugins→no hardcoded models — DeepSeek as a preset, any OpenAI-compatible endpoint as a config entry, optional executor + planner pair in separate cache-stable sessions
MCP servers and Extension Protocol plugins
MCP servers or Extension Protocol v1 sidecars declared in the config→extra tools, prompts and resources from MCP; sidecars can intercept runtime events, contribute Providers and structured UI, and ship versioned plugin packages
extension sidecars can intercept runtime eventsCache-aware context maintenance
a long-running session against prefix-cache-friendly endpoints→a small stable environment summary injected at startup; stale tool output snipped/pruned before summary compaction
04适合谁？何时不该用？
适合
- Developers who want a DeepSeek-native coding agent for long unattended terminal sessions
- Developers who prefer coding-agent sessions inside their editor instead of a separate terminal
不适合
- Reasonix does not work out of the box without a model provider: you must run `reasonix setup` to configure a provider and model before starting a session, and all generation traffic goes to that configured endpoint.
05兼容性、维护与安全提示
- Reasonix does not work out of the box without a model provider: you must run `reasonix setup` to configure a provider and model before starting a session, and all generation traffic goes to that configured endpoint.
- Prebuilt binaries cover darwin/linux/windows × amd64/arm64, but building from source requires Go 1.25+ (pinned toolchain), and the desktop build additionally needs Node 24+, pnpm 10 and the Wails CLI.
- The README describes no DeepSeek Harness (dsh) integration: Reasonix is a standalone agent, so there is no documented in-harness install path — its DeepSeek relation is that DeepSeek ships as a built-in model preset.
MIT · actively maintained (latest release desktop-v1.31.0, 2026-08-20)
06常见问题
如何安装 DeepSeek Reasonix？
运行 `npm i -g reasonix`（任意操作系统，自动拉取预编译原生二进制），或在 macOS 上用 `brew install esengine/reasonix/reasonix`，然后执行 `reasonix setup` 配置提供商和模型。每个 GitHub release 都附带 darwin/linux/windows × amd64/arm64 的预编译包和 SHA256SUMS。
它能与 DeepSeek Harness（dsh）集成吗？
README 未描述任何 dsh 集成。Reasonix 是独立运行的智能体，它与 DeepSeek 生态的关联在于：DeepSeek 作为内置模型预设提供，任意 OpenAI 兼容端点也可以作为配置项写入 reasonix.toml。
能在 VS Code 里使用吗？
可以——先安装 CLI，再从 Visual Studio Marketplace 或 Open VSX Registry 安装扩展 `SivanLiu.reasonix-agent`。扩展会启动本地的 `reasonix acp` 后端，提供原生对话、编辑器上下文、工具调用审批、模型选择和工作区会话。
模型和工具如何配置？
提供商、智能体、启用的工具与插件全部声明在 `reasonix.toml` 中，没有任何硬编码模型。还可以同时运行两个模型（执行者 + 规划者），各自使用缓存稳定的会话；MCP 服务器可以贡献工具、提示和资源。
长时间自主运行的安全性靠什么保障？
计划模式、权限控制、工作区沙箱和逐轮检查点，让长时间的自主运行始终保持可读、可撤销。整个引擎是一个自包含的静态二进制，目标机器上除二进制本身外无需安装任何东西。
07相关的 DSH 工作流
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08数据与来源
DeepSeek ships as a preset; any OpenAI-compatible endpoint is a config entry, not new code.
One local engine, four ways in — terminal, desktop app, browser, or your editor over ACP. Plan mode, permissions, a work…
页面基于项目公开文档、仓库元数据和 DSH Plugins 的结构化解析生成；最后核验于 2026-08-21。发现错误？提交更正。
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