한국어

최고의 오픈소스 AI 에이전트와 개인 AI 비서

OpenClaw와 Hermes Agent부터 읽기 쉬운 작은 코드베이스까지, 7개 오픈소스 AI 에이전트를 라이선스, 커뮤니티, 성숙도, 실제 개방성으로 비교합니다.

한눈에 보기

한눈에 보기
봇라이선스메신저 앱
OpenClawMIT39.4만예아니요Telegram, WhatsApp, iMessage, Discord, Slack무료
Hermes AgentMIT26.2만예아니요Telegram, WhatsApp, iMessage, Discord, Slack월 US$20부터
nanobotMIT5만예아니요Telegram, WhatsApp, Discord, Slack무료
ZeroClawMIT OR Apache-2.03.3만예예Telegram, WhatsApp, Discord무료
Agent ZeroMIT2만예예Telegram, WhatsApp무료
RakazoApache-2.07.5천예예Telegram, WhatsApp, iMessage, Slack월 US$10부터
NanoClawMIT3.1만예예Telegram, WhatsApp, iMessage, Discord, Slack무료
2026. 11. 8. 기준 GitHub 스타

체크리스트

체크리스트
OpenClawHermes AgentnanobotZeroClawAgent ZeroRakazoNanoClaw
오픈 소스 라이선스예예예예예예예
로컬 모델 실행예예예예예예예
기본 샌드박스아니요아니요아니요예예예예
기본 텔레메트리 없음아니요예예예아니요예아니요
메신저 앱에서 사용예예예예예예예
자리를 비워도 작업예예예예예예예

이 분야에서 “오픈소스”가 뜻하는 범위는 넓습니다. 어떤 프로젝트는 MIT 라이선스이고 그 위에서 무언가를 파는 회사가 없습니다. 어떤 프로젝트는 유료 호스팅 서비스 옆에 공개된 코드입니다. 몇몇은 공개되어 있지만 거의 유지보수되지 않습니다. 이 순위는 오픈소스라는 측면에 초점을 맞춥니다. 라이선스가 무엇을 허용하는지, 누가 코드를 뒷받침하는지, 그리고 내년에도 프로젝트가 계속 움직이고 있을지입니다.

순위 기준

일곱 개 모두 오픈소스이고 셀프 호스팅할 수 있으며, 모두 로컬 모델로 실행됩니다. 다음을 기준으로 평가했습니다.

  • 라이선스. 대부분의 독자에게는 허용적 라이선스(MIT, Apache-2.0)가 카피레프트보다 높은 순위입니다. 변경 사항을 공유하지 않고도 수정하고 재배포할 수 있기 때문입니다.
  • 독립성. 팔 것이 없는 비영리 단체나 연구실은 공개 코드가 유료 요금제로 이어지는 벤더보다 더 강한 보장입니다. 다만 둘 다 그 자체로 문제는 아닙니다.
  • 커뮤니티와 성숙도. 프로젝트의 규모, 릴리스 속도, 그리고 메인테이너가 알파, 베타, 안정 버전 중 무엇이라고 부르는지입니다.
  • 수정 용이성. 무언가를 바꾸려면 얼마나 많은 코드를 읽어야 하는지입니다.
  • 사이트 체크리스트(위 표): 샌드박싱, 텔레메트리, 채팅 앱, 백그라운드 작업도 여전히 반영되지만 셀프 호스팅 순위보다는 비중이 낮습니다.

AGPL-3.0이고 2026년 3월 이후 릴리스가 없는 Khoj와 2026년 5월 이후 커밋이 없는 OpenFang은 제외했습니다.

1. OpenClaw

OpenClaw가 기본 오픈소스 AI 에이전트인 데에는 이유가 있습니다. MIT 라이선스이고, 유료 요금제나 호스팅 서비스가 없으며, 비영리 단체인 OpenClaw Foundation이 관리합니다(홈페이지). 또한 이 목록에서 압도적으로 가장 큰 커뮤니티를 가지고 있으며(표 참고), 142개의 공식 플러그인과 큰 스킬 생태계가 있습니다.

오픈소스라고 해서 기본적으로 안전한 것은 아닙니다. 샌드박싱은 꺼져 있고 매일 업데이트 확인이 켜져 있습니다. 실제 계정에 연결하기 전에 OpenClaw는 안전한가?를 읽어 보시고, 처음이라면 OpenClaw란 무엇인가도 참고하세요.

WhatsApp chat with an OpenClaw assistant giving casual travel advice to a user in Marrakech
Chatting with OpenClaw in WhatsAppdocs.openclaw.ai

2. Hermes Agent

Hermes Agent는 MIT 라이선스이며 이 목록에서 두 번째로 큰 프로젝트입니다. 두 대형 프로젝트 중 데이터에 관해 가장 개방적입니다. 기본적으로 텔레메트리가 없고, 모델 제공자로 Nous Portal을 선택하지 않는 한 모든 것이 ~/.hermes 아래에 머뭅니다. 대표 기능은 재사용 가능한 스킬을 스스로 작성하고 다듬는 것입니다.

독립성에서는 2위입니다. Nous Research는 무료 코드와 함께 월 $20부터 시작하는 Nous Portal 구독을 판매합니다. 구독이 꼭 필요한 것은 아니지만, 호스팅 웹 검색, 이미지, 음성을 쓰려면 요금제나 직접 발급한 키가 필요합니다. 자세한 내용은 Hermes Agent란 무엇인가를 참고하세요.

Hermes Agent web dashboard Sessions page listing live sessions from cron, Discord, Telegram and the CLI, with rename, export and delete actions
Hermes Agent's dashboard showing sessions across chat platformshermes-agent.nousresearch.com

3. nanobot

nanobot은 홍콩대학교 Data Intelligence Lab에서 나왔으며 읽히도록 만들어졌습니다. 작은 Python 코어에 MIT 라이선스이고, 판매할 호스팅 서비스가 없습니다. Python SDK와 OpenAI 호환 API가 있어 직접 만드는 에이전트의 기반으로도 쓸 수 있습니다. 번들 WebUI는 목록에서 손꼽히게 좋은 편입니다.

단점은 셸 명령이 기본적으로 샌드박스되지 않는다는 점입니다.

nanobot WebUI new-topic screen with Apps, Skills, Automations and Channels in the sidebar, project-grouped topics, and a composer with permission and microphone controls
nanobot's bundled browser WebUIgithub.com

4. ZeroClaw

ZeroClaw는 MIT 또는 Apache-2.0 이중 라이선스이며 단일 Rust 바이너리로 배포됩니다. 체크리스트만 놓고 보면 위의 모든 것보다 낫습니다. 기본적으로 샌드박스되고 텔레메트리가 없습니다. 여기서 4위인 이유는 커뮤니티가 OpenClaw와 Hermes Agent보다 훨씬 작고, 코드를 수정할 계획이라면 Rust가 Python이나 TypeScript보다 진입 장벽이 높기 때문입니다.

ZeroClaw homepage headline: The personal AI agent you actually own, one lightweight Rust binary on your machine with your keys or your local models
ZeroClaw's homepagezeroclaw.com

5. Agent Zero

Agent Zero는 MIT 라이선스이며 이 순위에서 가장 오래된 프로젝트입니다. 2024년 6월부터 릴리스되어 왔고, 2026년 8월 말부터 11월 초 사이에 v2.11부터 v2.15까지 출시되었습니다. 커뮤니티 Plugin Hub에는 200개 이상의 플러그인이 있습니다.

조직에 대해 알아 둘 점이 두 가지 있습니다. 체코의 작은 회사이고, 프로젝트가 A0T 암호화폐 토큰 보유자를 위한 토큰 스테이킹 모델 프록시를 운영합니다(자세히). 이 프록시는 무시하고 어떤 제공자나 로컬 모델이든 사용할 수 있습니다.

Agent Zero web UI showing a request to write a kickoff plan, the agent's collapsed steps for writing and verifying the file in the terminal, and a summary table of the plan
Agent Zero completing a first task in its web UIgithub.com

6. Rakazo

저희가 만드는 Rakazo는 Apache-2.0이고 완전히 셀프 호스팅할 수 있습니다. 공개 코드 옆에 클라우드 컴퓨터를 추가하는 유료 호스팅 요금제가 있으므로, 독립성 측면에서는 Hermes Agent와 같은 위치입니다. 체크리스트의 모든 항목을 충족하지만 더 신생이고 스스로 베타라고 부릅니다. Rakazo 리뷰를 참고하세요.

Rakazo web app with a chat with a bot called Chief and a side panel showing the bot's live browser screen, a Take control button and routines
A Rakazo bot chat with its computer screen beside itgithub.com

7. NanoClaw

NanoClaw는 MIT 라이선스이며 의도적으로 아주 작은 코드베이스를 가지고 있습니다. 호스트 프로세스 하나와 몇 개의 파일뿐입니다. 그래서 여기서 가장 읽기 쉬운 에이전트입니다. 개방성에서 최하위인 이유는 Anthropic의 Claude Agent SDK 위에 만들어졌고 모든 커스터마이즈에 Claude Code를 전제하기 때문입니다. 에이전트별로 다른 제공자를 추가할 수는 있지만, 실제로는 하나의 독점 도구에 묶여 있습니다.

NanoClaw setup wizard in a terminal explaining that the assistant lives in its own sandbox and asking whether to fetch a hardened image or build it locally
NanoClaw's setup wizard choosing the agent's sandbox imagedocs.nanoclaw.dev

라이선스 한눈에 보기

라이선스 에이전트
MIT OpenClaw, Hermes Agent, nanobot, Agent Zero, NanoClaw
MIT 또는 Apache-2.0 ZeroClaw
Apache-2.0 Rakazo

모두 상업적 용도를 포함해 코드를 실행, 수정, 재배포할 수 있습니다. 연결하는 모델은 별개의 문제입니다. 오픈 웨이트 로컬 모델에는 각자의 라이선스가, 호스팅 제공자에는 각자의 약관이 있습니다.

다른 관점은 최고의 로컬 AI 에이전트와 OpenClaw 대안을 참고하세요.

추천

  1. OpenClaw

    무료

    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.

    장점

    • 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

    단점

    • 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
    OpenClaw 방문

  2. Hermes Agent

    월 US$20부터

    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.

    장점

    • 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

    단점

    • 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
    Hermes Agent 방문

  3. nanobot

    무료

    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.

    장점

    • 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

    단점

    • 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
    nanobot 방문

  4. ZeroClaw

    무료

    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.

    장점

    • 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

    단점

    • 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
    ZeroClaw 방문

  5. Agent Zero

    무료

    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.

    장점

    • 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

    단점

    • 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
    Agent Zero 방문

  6. Rakazo

    월 US$10부터

    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.

    장점

    • 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

    단점

    • 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
    Rakazo 방문

  7. NanoClaw

    무료

    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.

    장점

    • 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

    단점

    • 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
    NanoClaw 방문

기능

기능
OpenClawHermes AgentnanobotZeroClawAgent ZeroRakazoNanoClaw
웹 검색예예예예예예예
이미지 생성예예예예아니요예알 수 없음
음성 모드예예예예예예알 수 없음
파일 업로드예예예예예예예
메모리예예예예예예예
대신 작업 수행예예예예예예예
앱 연동예예예예예예예
스스로 작업예예예예예예예
먼저 메시지를 보냄예예예예예예예
여러 봇 운영예예예예예예예

출처

OpenClaw

  1. OpenClaw homepage and Foundation section
  2. OpenClaw integrations: channels, providers and plugins
  3. openclaw/openclaw on GitHub (MIT, v2026.11.1)
  4. OpenClaw docs: Sandboxing (off by default)
  5. Wikipedia: OpenClaw
  6. Notebookcheck: OpenClaw can burn through hundreds of dollars per day
  7. OpenClaw docs: Memory overview
  8. OpenClaw docs: Automations
  9. OpenClaw docs: Chat channels
  10. OpenClaw docs: iMessage
  11. OpenClaw docs: Heartbeat, now a default Proactive check job
  12. OpenClaw docs: Multi-agent routing
  13. OpenClaw docs: Platforms (macOS, Windows, Linux, iOS and Android apps)
  14. OpenClaw docs: Tools (exec, browser, web search)
  15. OpenClaw docs: Audio and voice notes (inbound transcription)
  16. OpenClaw docs: Image and media support (inbound media)
  17. OpenClaw docs: Install (system requirements, installer script, npm, desktop apps, Docker)
  18. OpenClaw docs: One-click deploy on Railway
  19. OpenClaw docs: Usage telemetry and update checks (on by default, feature statistics opt-in)
  20. OpenClaw docs: Ollama provider (local models)

Hermes Agent

  1. NousResearch/hermes-agent on GitHub (MIT, v0.23.0)
  2. Hermes Agent homepage and Nous Portal pricing
  3. Hermes Agent documentation
  4. Hermes Agent docs: Profiles, running multiple agents
  5. Hermes Agent docs: Bot Mode
  6. Hermes Agent docs: Voice mode
  7. Hermes Agent docs: Vision and image paste
  8. Hermes Agent docs: iMessage via BlueBubbles
  9. Nous Research on X: Meet Hermes Agent (February 25, 2026)
  10. Hermes Agent docs: Session heartbeats and cron watchdogs
  11. Hermes Agent docs: FAQ (Is my data sent anywhere?)
  12. Hermes Agent docs: Installation (desktop packages, install script, Docker)
  13. Hermes Agent docs: Platform support (no Linux desktop package; PyPI installs unsupported)
  14. Hermes Agent docs: Docker setup
  15. Hermes Agent docs: Configuration (terminal backend defaults to local)
  16. Hermes Agent docs: Security (approval modes, optional container isolation)
  17. Hermes Agent docs: Local models
  18. Hermes Agent example config (shared metrics off by default)

nanobot

  1. HKUDS/nanobot on GitHub (MIT, v0.4.1, README)
  2. nanobot documentation
  3. nanobot release archive (officially launched February 2, 2026)
  4. nanobot docs: Chat apps
  5. nanobot docs: Providers and models (Ollama, vLLM, LM Studio)
  6. nanobot docs: Configuration (security, exec sandbox off by default, transcription, Langfuse)
  7. nanobot docs: Automations and heartbeat
  8. nanobot docs: Concepts (heartbeat delivery, subagent recovery)
  9. nanobot docs: Memory and Dream
  10. nanobot docs: Multiple instances
  11. nanobot docs: Deployment (Docker, services, Render)
  12. nanobot source: skills installer runs with DISABLE_TELEMETRY

ZeroClaw

  1. zeroclaw-labs/zeroclaw on GitHub (MIT OR Apache-2.0, v0.8.7, README)
  2. ZeroClaw website
  3. ZeroClaw docs: Sandboxing
  4. ZeroClaw source: risk presets (Balanced, recommended, has the sandbox on)
  5. ZeroClaw docs: Channels overview (default and standard release bundles)
  6. ZeroClaw docs: You own it (no telemetry)
  7. ZeroClaw docs: Docker and containers
  8. ZeroClaw source: tools (image generation, screenshot, web)

Agent Zero

  1. agent0ai/agent-zero on GitHub (MIT, README, safety model)
  2. Agent Zero releases (v0.2 in June 2024 to v2.15 on November 1, 2026)
  3. Agent Zero homepage
  4. Agent Zero docs: Installation (Launcher, A0 Install, Docker, local models)
  5. Agent Zero docs: VPS deployment (hardware requirements)
  6. Agent Zero model provider list
  7. Agent Zero update check code (version and hashed ID sent to api.agent-zero.ai)
  8. Agent Zero built-in Telegram integration plugin
  9. Agent Zero built-in WhatsApp integration plugin
  10. Agent Zero built-in plugins (scheduler, notify user, email, SearXNG search, Whisper STT, Kokoro TTS)
  11. Agent Zero docs: Memory guide
  12. Agent Zero docs: Agent Profiles
  13. Agent Zero docs: API integration (adding image generation yourself)
  14. Agent Zero v3: A Sneak Peek Inside the Sandbox (August 17, 2026)
  15. Agent Zero LLM API (Venice.ai proxy for A0T token stakers)

Rakazo

  1. Rakazo homepage
  2. Rakazo pricing
  3. Rakazo privacy policy
  4. Rakazo on GitHub (README and license)
  5. Rakazo changelog
  6. Rakazo releases
  7. Rakazo docs: Image and video generation
  8. Rakazo docs: Memory
  9. Rakazo docs: Connect apps
  10. Rakazo docs: Routines
  11. Rakazo docs: Chat apps
  12. Rakazo docs: Messaging apps (self-hosting)
  13. Rakazo docs: Bots and chats (add another bot, bot templates)
  14. Rakazo docs: Groups (several bots in one chat)
  15. Rakazo docs: Mobile app (notifications)
  16. Rakazo privacy policy (updated Sep 14, 2026)
  17. Rakazo privacy policy source on GitHub
  18. Rakazo docs: Logs and monitoring (product analytics off by default)
  19. Rakazo docs: Desktop app (run locally in Docker, updates)
  20. Rakazo docs: Docker computers
  21. Rakazo docs: Self-hosted models (Ollama, LM Studio)
  22. Rakazo Railway template setup guide

NanoClaw

  1. nanocoai/nanoclaw on GitHub (MIT, README: containers, channels, diagnostics, requirements, models FAQ)
  2. NanoClaw website
  3. NanoClaw docs: Quickstart
  4. NanoClaw docs: Echo hardened runtime
  5. NanoClaw skills: channel, Ollama, OpenCode and Codex installers