最佳開源 AI 代理與個人 AI 助理
七款開源 AI 代理比較:授權、社群、成熟度,以及它們到底有多開放,從 OpenClaw、Hermes Agent 到可以讀完的小型程式碼庫。
概覽
| 機器人 | 授權 | 聊天 App | |||||
|---|---|---|---|---|---|---|---|
| OpenClaw | MIT | 39.4萬 | 是 | 否 | Telegram, WhatsApp, iMessage, Discord, Slack | 免費 | |
| Hermes Agent | MIT | 26.2萬 | 是 | 否 | Telegram, WhatsApp, iMessage, Discord, Slack | US$20/月起 | |
| nanobot | MIT | 5萬 | 是 | 否 | Telegram, WhatsApp, Discord, Slack | 免費 | |
| ZeroClaw | MIT OR Apache-2.0 | 3.3萬 | 是 | 是 | Telegram, WhatsApp, Discord | 免費 | |
| Agent Zero | MIT | 2萬 | 是 | 是 | Telegram, WhatsApp | 免費 | |
| Rakazo | Apache-2.0 | 7538 | 是 | 是 | Telegram, WhatsApp, iMessage, Slack | US$10/月起 | |
| NanoClaw | MIT | 3.1萬 | 是 | 是 | Telegram, WhatsApp, iMessage, Discord, Slack | 免費 |
檢查清單
| OpenClaw | Hermes Agent | nanobot | ZeroClaw | Agent Zero | Rakazo | NanoClaw | |
|---|---|---|---|---|---|---|---|
| 開源授權 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 支援本地模型 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 預設沙箱隔離 | 否 | 否 | 否 | 是 | 是 | 是 | 是 |
| 預設無遙測 | 否 | 是 | 是 | 是 | 否 | 是 | 否 |
| 整合你的聊天 App | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 你不在時也能工作 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
在這個領域,「開源」涵蓋的範圍很廣。有些專案採用 MIT 授權,背後沒有公司在上面販售任何東西;有些是開放原始碼旁邊搭配付費的託管服務;還有少數雖然開源卻幾乎沒人維護。這份排名關注的是開源本身:授權允許你做什麼、誰在支撐這些程式碼,以及這個專案明年是否仍會持續推進。
我們如何排名
七款全都是開源、可自架的,也都能執行本機模型。我們考量了:
- 授權。 對大多數讀者來說,寬鬆授權(MIT、Apache-2.0)排在 copyleft 之前,因為你可以修改和再散布,而不必公開你的修改。
- 獨立性。 一個沒有東西要賣的非營利組織或研究實驗室,比一個以開放原始碼為付費方案引流的廠商更有保障,不過兩者本身都不是問題。
- 社群與成熟度。 專案規模、發布節奏,以及維護者稱它為 alpha、beta 還是穩定版。
- 可改造性。 要修改某個東西需要讀多少程式碼。
- 本站的檢查清單(上方表格):沙箱、遙測、聊天應用程式和背景工作仍然列入計分,只是權重比我們的自架排名低。
我們排除了 Khoj(採用 AGPL-3.0,自 2026 年 3 月以來沒有新版本)和 OpenFang(自 2026 年 5 月以來沒有任何 commit)。
1. OpenClaw
OpenClaw 成為預設的開源 AI 代理是有原因的。它採用 MIT 授權,沒有付費方案或託管服務,由非營利組織 OpenClaw Foundation 管理(首頁)。它也是這份清單上社群規模最大的專案,而且遙遙領先(見表格),有 142 個官方外掛和龐大的技能生態系。
開源不代表預設就安全:沙箱是關閉的,每日更新檢查是開啟的。在把它連接到真實帳號之前,請先閱讀 OpenClaw 安全嗎?;如果你剛接觸它,可以看看 OpenClaw 是什麼。

2. Hermes Agent
Hermes Agent 採用 MIT 授權,是這裡第二大的專案。在兩大專案中,它對資料最開放:預設沒有遙測,除非你選擇 Nous Portal 作為模型供應商,否則一切都保存在 ~/.hermes 底下。它的招牌功能是會自己撰寫並改進可重複使用的技能。
它在獨立性上排第二:Nous Research 在免費程式碼之外,還販售每月 20 美元起的 Nous Portal 訂閱。你永遠不需要買,但託管的網頁搜尋、圖片和語音需要訂閱方案或你自己的金鑰。更多內容請見 Hermes Agent 是什麼。

3. nanobot
nanobot 出自香港大學資料智慧實驗室,天生就是為了讓人閱讀:一個小巧的 Python 核心,採用 MIT 授權,沒有要販售的託管服務。它有 Python SDK 和相容 OpenAI 的 API,所以也能當作你自己代理的基礎。內建的 WebUI 是這份清單上比較好的之一。
取捨在於 shell 指令預設沒有沙箱。

4. ZeroClaw
ZeroClaw 採用 MIT 或 Apache-2.0 雙重授權,以單一 Rust 執行檔發布。單看檢查清單,它勝過上面所有專案:預設使用沙箱、沒有遙測。它在這裡排第四,是因為它的社群比 OpenClaw 和 Hermes Agent 小得多,而且如果你打算修改程式碼,Rust 的門檻比 Python 或 TypeScript 更高。

5. Agent Zero
Agent Zero 採用 MIT 授權,是這份排名中最老的專案,自 2024 年 6 月起持續發布,並在 2026 年 8 月下旬到 11 月初之間推出了 v2.11 到 v2.15。它的社群 Plugin Hub 有 200 多個外掛。
關於這個組織有兩件事要知道:它是一家捷克小公司,而且專案為其 A0T 加密代幣的持有者經營一個以代幣質押運作的模型代理伺服器(詳情)。你可以忽略這個代理伺服器,接上任何供應商或本機模型。

6. Rakazo
Rakazo(由我們開發)採用 Apache-2.0 授權,可以完全自架。開放原始碼旁邊是加上雲端電腦的付費託管方案,所以在獨立性上它和 Hermes Agent 處於同樣的位置。它符合檢查清單上的每一項,但比較年輕,並自稱處於 beta 階段。請參考 Rakazo 評測。

7. NanoClaw
NanoClaw 採用 MIT 授權,程式碼庫刻意保持極小:一個主機程序加上少數幾個檔案。這讓它成為這裡最容易閱讀的代理。它在開放性上排最後,是因為它建構在 Anthropic 的 Claude Agent SDK 上,每一次客製化都預期使用 Claude Code,所以即使可以依代理加入其他供應商,實際上它仍綁定在一個專有工具上。

授權一覽
| 授權 | 代理 |
|---|---|
| MIT | OpenClaw, Hermes Agent, nanobot, Agent Zero, NanoClaw |
| MIT 或 Apache-2.0 | ZeroClaw |
| Apache-2.0 | Rakazo |
這些授權都允許你執行、修改和再散布程式碼,包括商業用途。你接上的模型則是另一回事:開放權重的本機模型有各自的授權,託管供應商也有各自的條款。
想從其他角度了解,請參考最佳本機 AI 代理和 OpenClaw 替代方案。
精選推薦
Free, MIT-licensed personal AI agent that runs on your own computer and takes orders from WhatsApp, Telegram, iMessage, Slack and 20+ other chat apps.
The biggest ecosystem and every chat app, but sandboxing is off and telemetry is on by default.
前往 OpenClaw優點
- Free and MIT licensed, with no paid tier
- Runs on your own hardware, and state, memory and credentials stay there
- Works in 29 chat channels, including WhatsApp, Telegram, iMessage, Slack, Discord and Microsoft Teams
- Model-agnostic: 64 model and media providers, plus local models
- Large ecosystem of skills and 142 official plugins, and very active development
缺點
- Model costs are on you and can run high: testers and users have reported spending over $100 in a day with expensive models
- Sandboxing is off by default and the agent can run commands on the host unless you turn on approvals
- Setup and upkeep expect comfort with the command line; maintainers warn it is risky for non-technical users
- Broad access to email, messages and the system makes prompt injection and malicious third-party skills a real risk
Free, MIT-licensed AI agent from Nous Research that runs on your own machine or server, learns reusable skills, and chats with you on Telegram, Slack and more.
MIT licensed, no telemetry and lives in your chat apps, but commands aren't sandboxed by default.
前往 Hermes Agent優點
- Free and MIT licensed, and runs on hardware you control
- Writes and refines its own skills from experience, on top of persistent memory and cross-session search
- One gateway for 20+ chat platforms, including Telegram, Discord, Slack, WhatsApp, Signal and email
- Run several separate agents as profiles, each with its own model, memory and skills, and let them talk in group chats
- Model-agnostic, with a one-command import from OpenClaw
缺點
- Setup expects comfort with the command line and with running your own server
- Model costs are on you unless you use free models, and hosted web search, images and speech need a paid Nous Portal plan or your own keys
- iMessage needs a separate BlueBubbles server on a Mac
- No native mobile app; Android support is a command-line install through Termux
Free, MIT-licensed personal AI agent in Python with a browser UI and terminal app, scheduled tasks, memory, and chat on Telegram, Discord, Slack and more.
Small, readable Python with a good web UI and no telemetry, but shell commands aren't sandboxed by default.
前往 nanobot優點
- Free and MIT licensed, with a small Python core that is meant to be read and modified
- Polished bundled WebUI with projects, file diffs, an MCP app catalog and an automations calendar, plus a terminal UI
- Many chat channels, including Telegram, Discord, Slack, WhatsApp, WeChat, Feishu, Teams, Matrix and email
- Scheduled automations, long-running goals and a heartbeat that reports only useful results to your last chat
- Works with local models through Ollama, vLLM or LM Studio
缺點
- Shell commands are not sandboxed by default; the bubblewrap or macOS Seatbelt sandbox must be turned on, and Windows has none
- Model costs are on you, and voice messages need a separate transcription provider such as Groq or OpenAI
- No native mobile or desktop app; on a phone you use the WebUI in a browser or a chat app
- Missed scheduled runs are not replayed and interrupted subagent tasks are not relaunched after a restart
Personal AI agent in one Rust binary, MIT or Apache-2.0, with local or cloud models, 30+ channels, approval gates and an OS sandbox on by default.
Meets every check: one Rust binary, approval gates and an OS sandbox on by default, no telemetry, local models.
前往 ZeroClaw優點
- Safe defaults: the recommended profile asks before medium-risk actions, blocks high-risk ones, keeps files in the workspace and runs tools in an OS sandbox
- One small Rust binary with one config file, running on macOS, Linux, Windows and boards like a Raspberry Pi
- More than 30 channels, plus a web dashboard for chat, memory, config and cron
- Provider fallback chains, local models through Ollama, and cryptographic receipts for tool calls
- States plainly that it sends no telemetry and needs no cloud account or license server
缺點
- Slack, iMessage, Signal and several other channels are not in the standard release; you build from source with extra features to get them
- `zeroclaw quickstart` only sets up the model provider; channels and risk profiles mean editing the TOML config file
- The Docker sandbox backend isn't picked automatically under the default native runtime
- Model costs are on you
Free, MIT-licensed AI agent that runs in its own Docker Linux workspace with a terminal, browser and desktop apps, and chats on Telegram and WhatsApp.
Runs in its own Docker container with local models, but sends telemetry by default.
前往 Agent Zero優點
- Free and MIT licensed, with frequent releases (v2.11 to v2.15 between late August and early November 2026)
- The agent works in its own Linux workspace with a terminal, browser, desktop apps and LibreOffice, isolated from your computer unless you grant host access
- Web search runs through a local SearXNG instance, and speech-to-text and text-to-speech can run locally
- Projects keep memory, files, secrets, instructions and model choices separate per job, with workspace snapshots you can roll back
- Built-in Telegram, WhatsApp and email channels, a scheduler, MCP and a community Plugin Hub with 200+ plugins
缺點
- Needs Docker, and the container image is a full Linux desktop environment rather than a small service
- No built-in image generation; the docs show teaching it an image API yourself
- By default it checks for updates with Agent Zero's server, sending your version and a hashed instance ID
- Code runs in the same container as Agent Zero itself today; per-task sandboxes are only a v3 prototype
- WhatsApp works by linking a phone account through a Baileys bridge, which needs Node.js, rather than the official WhatsApp Business API
Open-source, self-hostable platform for persistent AI bots that each get a job, a computer, memory and routines, using the model you choose.
Our own product. Meets every check: Apache-2.0, sandboxed bot computers, no telemetry by default, any model you connect.
前往 Rakazo優點
- Open source (Apache-2.0) and fully self-hostable, including with local models
- Choice of model per bot, including existing Claude or ChatGPT subscriptions
- Bots keep working on schedules and triggers with their own cloud computer
- Approval controls over which actions a bot may take on its own
缺點
- Still in beta, with frequent releases
- You supply and pay for the model on the hosted plans, unless you buy Rakazo credits
- Telegram, WhatsApp and iMessage/SMS are only available when self-hosted
- More setup than a single chat app
Small, MIT-licensed OpenClaw alternative that runs each agent in its own Docker container and chats with you on WhatsApp, Telegram, Slack, Discord and more.
Every agent in its own container and a tiny codebase, but tied to Claude Code and sends setup diagnostics by default.
前往 NanoClaw優點
- Every agent runs in its own Docker container and sees only the folders you mount, so shell access stays off your host
- Small codebase (one host process and a handful of files) that you customize by having Claude Code edit your fork
- Agents never hold raw API keys: outbound calls go through a credential gateway with per-agent policies and rate limits
- Many chat channels, including WhatsApp, Telegram, Slack, Discord, iMessage, Teams, Matrix and email, with one or several agents per channel
- Scheduled tasks with optional script gates that skip waking the agent when there's nothing to do
缺點
- Built around Claude and Claude Code: customizing, debugging and adding channels all go through Claude Code
- Sends anonymous setup diagnostics unless you set NANOCLAW_NO_DIAGNOSTICS=1
- No config files by design, so every change means editing code in your own fork
- Needs Docker, and Windows only works through WSL2
功能
| OpenClaw | Hermes Agent | nanobot | ZeroClaw | Agent Zero | Rakazo | NanoClaw | |
|---|---|---|---|---|---|---|---|
| 網路搜尋 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 圖像生成 | 是 | 是 | 是 | 是 | 否 | 是 | 未知 |
| 語音模式 | 是 | 是 | 是 | 是 | 是 | 是 | 未知 |
| 檔案上傳 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 記憶 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 代你執行操作 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 應用程式整合 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 自主運作 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 主動傳訊息給你 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 可執行多個機器人 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
來源
OpenClaw
- OpenClaw homepage and Foundation section
- OpenClaw integrations: channels, providers and plugins
- openclaw/openclaw on GitHub (MIT, v2026.11.1)
- OpenClaw docs: Sandboxing (off by default)
- Wikipedia: OpenClaw
- Notebookcheck: OpenClaw can burn through hundreds of dollars per day
- OpenClaw docs: Memory overview
- OpenClaw docs: Automations
- OpenClaw docs: Chat channels
- OpenClaw docs: iMessage
- OpenClaw docs: Heartbeat, now a default Proactive check job
- OpenClaw docs: Multi-agent routing
- OpenClaw docs: Platforms (macOS, Windows, Linux, iOS and Android apps)
- OpenClaw docs: Tools (exec, browser, web search)
- OpenClaw docs: Audio and voice notes (inbound transcription)
- OpenClaw docs: Image and media support (inbound media)
- OpenClaw docs: Install (system requirements, installer script, npm, desktop apps, Docker)
- OpenClaw docs: One-click deploy on Railway
- OpenClaw docs: Usage telemetry and update checks (on by default, feature statistics opt-in)
- OpenClaw docs: Ollama provider (local models)
Hermes Agent
- NousResearch/hermes-agent on GitHub (MIT, v0.23.0)
- Hermes Agent homepage and Nous Portal pricing
- Hermes Agent documentation
- Hermes Agent docs: Profiles, running multiple agents
- Hermes Agent docs: Bot Mode
- Hermes Agent docs: Voice mode
- Hermes Agent docs: Vision and image paste
- Hermes Agent docs: iMessage via BlueBubbles
- Nous Research on X: Meet Hermes Agent (February 25, 2026)
- Hermes Agent docs: Session heartbeats and cron watchdogs
- Hermes Agent docs: FAQ (Is my data sent anywhere?)
- Hermes Agent docs: Installation (desktop packages, install script, Docker)
- Hermes Agent docs: Platform support (no Linux desktop package; PyPI installs unsupported)
- Hermes Agent docs: Docker setup
- Hermes Agent docs: Configuration (terminal backend defaults to local)
- Hermes Agent docs: Security (approval modes, optional container isolation)
- Hermes Agent docs: Local models
- Hermes Agent example config (shared metrics off by default)
nanobot
- HKUDS/nanobot on GitHub (MIT, v0.4.1, README)
- nanobot documentation
- nanobot release archive (officially launched February 2, 2026)
- nanobot docs: Chat apps
- nanobot docs: Providers and models (Ollama, vLLM, LM Studio)
- nanobot docs: Configuration (security, exec sandbox off by default, transcription, Langfuse)
- nanobot docs: Automations and heartbeat
- nanobot docs: Concepts (heartbeat delivery, subagent recovery)
- nanobot docs: Memory and Dream
- nanobot docs: Multiple instances
- nanobot docs: Deployment (Docker, services, Render)
- nanobot source: skills installer runs with DISABLE_TELEMETRY
ZeroClaw
- zeroclaw-labs/zeroclaw on GitHub (MIT OR Apache-2.0, v0.8.7, README)
- ZeroClaw website
- ZeroClaw docs: Sandboxing
- ZeroClaw source: risk presets (Balanced, recommended, has the sandbox on)
- ZeroClaw docs: Channels overview (default and standard release bundles)
- ZeroClaw docs: You own it (no telemetry)
- ZeroClaw docs: Docker and containers
- ZeroClaw source: tools (image generation, screenshot, web)
Agent Zero
- agent0ai/agent-zero on GitHub (MIT, README, safety model)
- Agent Zero releases (v0.2 in June 2024 to v2.15 on November 1, 2026)
- Agent Zero homepage
- Agent Zero docs: Installation (Launcher, A0 Install, Docker, local models)
- Agent Zero docs: VPS deployment (hardware requirements)
- Agent Zero model provider list
- Agent Zero update check code (version and hashed ID sent to api.agent-zero.ai)
- Agent Zero built-in Telegram integration plugin
- Agent Zero built-in WhatsApp integration plugin
- Agent Zero built-in plugins (scheduler, notify user, email, SearXNG search, Whisper STT, Kokoro TTS)
- Agent Zero docs: Memory guide
- Agent Zero docs: Agent Profiles
- Agent Zero docs: API integration (adding image generation yourself)
- Agent Zero v3: A Sneak Peek Inside the Sandbox (August 17, 2026)
- Agent Zero LLM API (Venice.ai proxy for A0T token stakers)
Rakazo
- Rakazo homepage
- Rakazo pricing
- Rakazo privacy policy
- Rakazo on GitHub (README and license)
- Rakazo changelog
- Rakazo releases
- Rakazo docs: Image and video generation
- Rakazo docs: Memory
- Rakazo docs: Connect apps
- Rakazo docs: Routines
- Rakazo docs: Chat apps
- Rakazo docs: Messaging apps (self-hosting)
- Rakazo docs: Bots and chats (add another bot, bot templates)
- Rakazo docs: Groups (several bots in one chat)
- Rakazo docs: Mobile app (notifications)
- Rakazo privacy policy (updated Sep 14, 2026)
- Rakazo privacy policy source on GitHub
- Rakazo docs: Logs and monitoring (product analytics off by default)
- Rakazo docs: Desktop app (run locally in Docker, updates)
- Rakazo docs: Docker computers
- Rakazo docs: Self-hosted models (Ollama, LM Studio)
- Rakazo Railway template setup guide






