tinyhumansai / openhuman
tinyhumansai / openhuman
OpenHuman is your Personal AI super intelligence. Private, Simple and extremely powerful. OpenHuman 是你的个人 AI 超级智能。私密、简洁且功能极其强大。
Discord • Reddit • X/Twitter • Docs • Follow @senamakel (Creator) Discord • Reddit • X/Twitter • 文档 • 关注 @senamakel (创始人)
Early Beta: Under active development. Expect rough edges. 早期测试版：处于活跃开发阶段，可能会遇到一些不完善之处。
To install or get started, either download from the website over at tinyhumans.ai/openhuman or run: 如需安装或开始使用，请访问 tinyhumans.ai/openhuman 下载，或运行以下命令：
# Download DMG, EXEs over at https://tinyhumans.ai/openhuman or run in from your terminal
在 https://tinyhumans.ai/openhuman 下载 DMG 或 EXE 文件，或在终端运行：
# For MacOS/Linux curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash
MacOS/Linux 用户：
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash
# For Windows irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex
Windows 用户：
irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex
What is OpenHuman? OpenHuman is an open-source agentic assistant designed to integrate with you in your daily life. Each bullet links to the deeper writeup in the docs. 什么是 OpenHuman？ OpenHuman 是一款开源智能体助手，旨在融入你的日常生活。每个要点都链接到文档中的详细说明。
Simple, UI-first & Human A clean desktop experience and short onboarding paths take you from install to a working agent in a few clicks — no config-first setup, no terminal required. The agent has a face: a desktop mascot that speaks, reacts to its surroundings, joins your Google Meets as a real participant, remembers you across weeks, and keeps thinking in the background even when you’ve stopped typing. 简洁、UI 优先且人性化 清爽的桌面体验和简短的引导流程，让你只需几次点击即可从安装过渡到运行智能体——无需复杂的配置，也无需使用终端。该智能体拥有一个“面孔”：一个桌面吉祥物，它会说话、对周围环境做出反应、作为真实参与者加入你的 Google Meet 会议、跨周记忆你的信息，即使在你停止打字后，它也会在后台持续思考。
118+ third-party integrations with auto-fetch: plug into Gmail, Notion, GitHub, Slack, Stripe, Calendar, Drive, Linear, Jira and the rest of your stack with one-click OAuth. Every connection is exposed to the agent as a typed tool, and every twenty minutes the core walks each active connection and pulls fresh data into the memory tree. No prompts, no polling loops you have to write, so the agent already has tomorrow’s context this morning. 支持 118+ 种带有自动抓取功能的第三方集成：通过一键 OAuth 即可接入 Gmail、Notion、GitHub、Slack、Stripe、日历、Drive、Linear、Jira 等所有工具栈。每个连接都作为类型化工具暴露给智能体，核心程序每二十分钟遍历一次活跃连接，并将最新数据拉取到记忆树中。无需提示词，无需编写轮询循环，智能体在今天早上就已经掌握了明天的上下文。
Memory Tree + Obsidian Wiki: a local-first knowledge base built from your data and your activity. Everything you connect is canonicalized into ≤3k-token Markdown chunks, scored, and folded into hierarchical summary trees stored in SQLite on your machine. The same chunks land as .md files in an Obsidian-compatible vault you can open, browse and edit, inspired by Karpathy’s obsidian-wiki workflow. 记忆树 + Obsidian Wiki：一个基于你的数据和活动构建的本地优先知识库。你连接的所有内容都会被规范化为 ≤3k token 的 Markdown 块，经过评分后折叠成层级摘要树，并存储在你机器上的 SQLite 中。这些数据块同时以 .md 文件形式存入兼容 Obsidian 的库中，你可以随时打开、浏览和编辑，灵感源自 Karpathy 的 obsidian-wiki 工作流。
Batteries included: web search, a web-fetch scraper, a full coder toolset (filesystem, git, lint, test, grep), and native voice (STT in, ElevenLabs TTS out, mascot lip-sync, live Google Meet agent) are wired in by default. Model routing sends each task to the right LLM (reasoning, fast, or vision) under one subscription. No “install a plugin to read files” friction. Optional local AI via Ollama for on-device workloads. 功能齐备：内置了网页搜索、网页抓取器、完整的编程工具集（文件系统、git、lint、测试、grep）以及原生语音功能（STT 输入、ElevenLabs TTS 输出、吉祥物口型同步、实时 Google Meet 智能体）。模型路由会在一个订阅下将每个任务发送给最合适的 LLM（推理、快速或视觉模型）。没有“安装插件才能读取文件”的繁琐。支持通过 Ollama 使用本地 AI 处理设备端任务。
Smart token compression (TokenJuice): every tool call, scrape result, email body, and search payload is run through a token compression layer before it touches any LLM Model. HTML is converted to Markdown, long URLs are shortened, non-ASCII characters are removed etc… You get the same information but at a fraction of the tokens. Reducing cost & latency by up to 80%. 智能 Token 压缩 (TokenJuice)：每次工具调用、抓取结果、邮件正文和搜索负载在触达任何 LLM 模型之前，都会经过一个 Token 压缩层。HTML 被转换为 Markdown，长 URL 被缩短，非 ASCII 字符被移除等……你获得相同的信息，但消耗的 Token 仅为一小部分。将成本和延迟降低了高达 80%。
Messaging channels and privacy & security: inbound/outbound across the channels you already use, with workflow data that stays on device, encrypted locally, treated as yours. 消息渠道与隐私安全：支持在你现有的渠道进行收发，工作流数据保留在设备上，本地加密，完全属于你。
For contributors: Read the Architecture · Getting Set Up · Cloud Deploy · CONTRIBUTING.md. 贡献者指南：阅读架构说明 · 环境配置 · 云端部署 · CONTRIBUTING.md。
Context in minutes, not weeks OpenHuman is the first agent harness that gets to know you in minutes. Inspired by Karpathy’s LLM Knowledgebase. Most agents start cold. Hermes learns by watching you work; OpenClaw waits for plugins to ferry context in. Either way, you spend days or weeks before the agent knows enough about your stack to be genuinely useful. OpenHuman summarizes and compresses all your documents, emails & chats; and creates a memory graph that lets your agent remember everything about you. OpenHuman skips the wait. Connect your accounts, let auto-fetch pull data locally on a 20-minute loop, and then have Memory Trees compress everything into Markdown files stored intelligently in a Karpathy-style Obsidian wiki. In just one sync pass, the agent has full (compressed) context of your inbox, your calendar, your repos, your docs, your messages. No training period. No “give it a few weeks.”. It becomes you, controlled by you. 在几分钟内而非几周内建立上下文 OpenHuman 是第一个能在几分钟内了解你的智能体框架，灵感源自 Karpathy 的 LLM 知识库。大多数智能体起步时都是“冷启动”的。Hermes 需要通过观察你的工作来学习；OpenClaw 需要等待插件来传输上下文。无论哪种方式，你都需要花费数天或数周时间，智能体才能足够了解你的工作栈并发挥作用。OpenHuman 会汇总并压缩你所有的文档、邮件和聊天记录，并创建一个记忆图谱，让你的智能体记住关于你的一切。OpenHuman 省去了等待。连接你的账户，让自动抓取功能以 20 分钟为周期在本地拉取数据，然后通过记忆树将所有内容压缩成 Markdown 文件，并智能地存储在 Karpathy 风格的 Obsidian 知识库中。只需一次同步，智能体就能获得你收件箱、日历、代码库、文档和消息的完整（压缩）上下文。无需训练期，无需“再等几周”。它将成为你，并由你掌控。
OpenHuman vs Other Agent Harnesses High-level comparison (products evolve, so verify against each vendor). OpenHuman is built to minimize vendor sprawl, keep workflow knowledge on-device, and give the agent a persistent memory of your data, not only chat. OpenHuman 与其他智能体框架对比 高层级对比（产品在不断演进，请以各厂商实际情况为准）。OpenHuman 的构建旨在最小化供应商依赖，将工作流知识保留在设备上，并赋予智能体对你数据的持久记忆，而不仅仅是聊天记录。
| 特性 | Claude Cowork | OpenClaw | Hermes Agent | OpenHuman |
|---|---|---|---|---|
| 开源 | 🚫 专有 | ✅ MIT | ✅ MIT | ✅ GNU |
| 启动难度 | 简单 | ⚠️ 终端优先 | ⚠️ 终端优先 | ✅ 简洁 UI，几分钟上手 |
| 成本 | ⚠️ 订阅+附加费 | ⚠️ 自带模型 | ⚠️ 自带模型 | ✅ 一次订阅 + TokenJuice |
| 记忆 | ⚠️ 仅限聊天 | ⚠️ 依赖插件 | ✅ 自学习 | 🚀 记忆树 + Obsidian 库 |
| 集成 | ⚠️ 连接器少 | ⚠️ 自带 | ⚠️ 自带 | 🚀 118+ 通过 OAuth |
| 自动抓取 | 🚫 无 | 🚫 无 | 🚫 无 | ✅ 20分钟循环同步至记忆 |
| API 碎片化 | 🚫 额外密钥 | 🚫 自带密钥 | 🚫 多供应商 | ✅ 单一账户 |
| 模型路由 | 🚫 单一模型 | ⚠️ 手动 | ⚠️ 手动 | ✅ 内置 |
| 原生工具 | ✅ 仅代码 | ✅ 仅代码 | ✅ 仅代码 | ✅ 代码+搜索+抓取+语音 |
Star us on GitHub Building toward AGI and artificial consciousness? Star the repo and help others find the path. 在 GitHub 上为我们点赞 正在迈向 AGI 和人工意识吗？请为仓库点赞，帮助其他人找到这条路径。
Contributors Hall of Fame Show some love and end up in the hall of fame. Contributors get free merch and special access to our Discord. 贡献者名人堂 展示你的支持并进入名人堂。贡献者将获得免费周边以及进入我们 Discord 的特殊权限。