Apache-2.0 开源、本地优先的 AI 桌面助手，内置 29 个技能、MCP、定时任务与触发器；DeepSeek Harness 接入在路线图中，稳定版暂用 Abu 原生 harness。
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
Apache-2.0
01它能帮你完成什么？
Delegate everyday office work — organizing files, drafting docs, building reports — to a locally-run AI desktop agent
Files read/written, commands executed, documents and reports produced on your machine by an autonomous planning agent
Individuals and office workers who want a privacy-first local AI agent instead of cloud-only chat
Automate recurring workflows with cron schedules and event triggers (file changes, HTTP webhooks, IM messages)
Scheduled tasks (e.g., daily AI news digest) and trigger-driven agent runs, with missed runs replayed on next launch
Teams and power users who want hands-off workflow automation on their desktop or as an IM bot (Lark/DingTalk/WeCom/Slack)
Produce office deliverables — PDF, PPTX, DOCX, Excel, infographics — from chat prompts
Generated documents and designs via 29 built-in skills, plus self-evolving custom skills crystallized from your own workflows
Knowledge workers who need finished documents (weekly report PPT, Excel from a PDF) rather than raw text output
02如何接入 DeepSeek Harness？
前置条件
- macOS (Apple Silicon / Intel) or Windows x64
- An API key for a cloud AI provider (e.g., DeepSeek, Anthropic), or Ollama installed for local models
安装步骤
- 01
Download the installer for your platform from GitHub Releases (`Abu-x.x.x-mac-arm64.dmg`, `Abu-x.x.x-mac-x64.dmg`, or `Abu-x.x.x-windows-x64-setup.exe`) and run it
- 02
Open Abu → Settings → AI Service Management: choose a provider (e.g., DeepSeek, Anthropic), enter your API Key, click verify — or use zero-config Ollama local models / any OpenAI-compatible custom endpoint
- 03
Return to the main screen, use the model selector to pick your preferred model, and start chatting
验证接入成功
作者未说明
03DSH 适配与能力边界
Standalone local-first AI desktop assistant; DeepSeek Harness is among the first targets of the in-progress multi-harness runtime integration — stable releases currently run Abu's native harness
Autonomous agent with Plan Mode
natural-language tasks in chat→end-to-end task completion: planning, tool invocation, file read/write, command execution
reads/writes local files and executes shell commandshigh-risk steps (delete / overwrite / send / install) are gated behind Plan Mode confirmation; per-conversation permission modes (Request Approval / Smart Review / Full Autonomy)29 built-in skills + MCP connectors
skill prompts (PDF/PPTX/DOCX/Excel, frontend design, diagrams, browser automation) and MCP servers→skill-driven deliverables; external services (databases, search engines, GitHub, Playwright) connected via Model Context Protocol
skills are installed from the in-app Skill StoreMCP connectors reach external services (GitHub, Playwright, databases) over the networkSchedules, triggers & IM bot
cron plans; file-watcher globs; HTTP webhooks; IM messages (Lark/DingTalk/WeCom/Slack)→agents invoked automatically on schedule or events; @Abu team bot in chat channels
auto-generated POST endpoints for HTTP webhooksagents run automatically without manual prompting, under a four-level trigger permission modelLocal file-based memory with OS sandbox
conversations and learned preferences→three-tier memory (personal `~/.abu/memory/`, per-project memory, ABU.md rules) persisted as markdown files
writes memory/rule files under `~/.abu/` and `{workspace}/.abu/`shell commands run inside macOS Seatbelt / Windows ConstrainedLanguage sandbox with network isolation (local proxy + domain whitelist)
04适合谁？何时不该用？
适合
- Individuals and office workers who want a privacy-first local AI agent instead of cloud-only chat
- Teams and power users who want hands-off workflow automation on their desktop or as an IM bot (Lark/DingTalk/WeCom/Slack)
- Knowledge workers who need finished documents (weekly report PPT, Excel from a PDF) rather than raw text output
不适合
- DeepSeek Harness support is roadmap-only at this time: multi-harness integration is in progress with DeepSeek Harness among the first targets, but stable releases currently run Abu's native harness — there is no dsh install path yet.
05兼容性、维护与安全提示
- DeepSeek Harness support is roadmap-only at this time: multi-harness integration is in progress with DeepSeek Harness among the first targets, but stable releases currently run Abu's native harness — there is no dsh install path yet.
- The Windows installer is current-user only and Authenticode-unsigned, so SmartScreen may require "More info → Run anyway"; only macOS builds are signed and notarized.
- Packaged apps ship for macOS (Apple Silicon / Intel) and Windows only; other platforms require building from source (Node.js 24 + Rust + platform build tools).
Apache-2.0 · actively maintained (latest release v0.40.0, 2026-08-20)
06常见问题
Abu 如何接入 DeepSeek Harness？
目前尚未正式支持。README 说明多 Harness 集成正在开发中，DeepSeek Harness 是首批集成目标之一；当前稳定版使用 Abu 自研的原生 harness，所以现阶段 Abu 以独立桌面应用形式运行，而非在 dsh 内运行。
支持哪些平台？怎么安装？
支持 macOS（Apple Silicon / Intel）和 Windows x64。从 GitHub Releases 下载对应的 dmg/setup.exe 安装即可；macOS 版本已签名并公证，Windows 安装包未做 Authenticode 签名，SmartScreen 提示时需点击「更多信息 → 仍要运行」。
可以用哪些 AI 模型？
支持 12+ 云厂商（DeepSeek、Anthropic Claude、OpenAI、通义千问/百炼、豆包、月之暗面、智谱等），可零配置接入 Ollama 本地模型，也支持任意 OpenAI 兼容或 Anthropic 兼容的自定义端点。
我的数据会上传吗？
Abu 是本地优先：数据与 API Key 都保存在本机（Key 加密存储），不经过第三方服务器。Shell 命令在操作系统沙箱内运行，并通过本地代理加域名白名单实现网络隔离。
是免费开源的吗？
是，Apache License 2.0，可免费使用、修改和分发（含商业用途）。企业版（团队协作、SSO、审计日志、私有化部署）需要另行购买授权。
07相关的 DSH 工作流
ruflo
作者 ruvnet
原版智能体元框架（meta-harness）：支持多智能体集群部署、自主工作流编排与对话式 AI 系统构建，内置自适应记忆、自学习智能与 RAG 检索，原生集成 Claude Code / Codex / Hermes 等大量工具。
reactive-resume
作者 amruthpillai
注重隐私的开源简历生成器，安全、可定制、可移植，永久免费，支持自托管。
everos
作者 evermind-ai
为所有 AI 智能体提供的便携统一记忆层，本地优先、Markdown 原生、数据归用户所有，跨应用与工作流自进化。
yao
作者 yaoapp
在桌面、移动端、浏览器或 API 上统一管理你的智能体与工作区，看板式任务追踪，支持自托管。
08数据与来源
with [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) among the first integration targets. Stable rel…
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。
最佳 DeepSeek Harness 插件
从全目录挑出的 12 个值得优先安装的插件，覆盖各个分类。