May 1, 2026 · 9 min read
OpenClaw ແມ່ນຫຍັງ? ຄູ່ມືຄົບຖ້ວນສູ່ AI Agent ໃນປີ 2026
OpenClaw ແມ່ນຫຍັງ? AI agent ແບບ open-source ຟຣີ ທີ່ໄດ້ຮັບ 350K+ ດາວໃນ GitHub. ມັນເຮັດວຽກແນວໃດ, ທັກສະ, ລາຄາ, ຂໍ້ຈຳກັດ, ແລະເມື່ອໃດຄວນໃຊ້ Naoma ແທນ.
OpenClaw ມາເປັນຕົວແທນ AI ຟຣີ, ທີ່ມີຊອບແວແຫຼ່ງເປີດ, ທີ່ເຮັດວຽກຢູ່ໃນເຄື່ອງຂອງທ່ານ ແລະ ອັດຕະໂນມັດວຽກງານຜ່ານການໂຕ້ຕອບທີ່ສົນທະນາເຊັ່ນ Slack, Telegram, ແລະ WhatsApp. ດ້ວຍ 350,000+ ດາວ GitHub ນັບແຕ່ເດືອນພຶດສະພາ 2026, ມັນເປັນໂຄງການຊອບແວທີ່ມີດາວຫຼາຍທີ່ສຸດໃນປະຫວັດສາດ GitHub. ມັນເຮັດວຽກກັບໄຟລ໌, shell, browser, email, ແລະທັກສະອື່ນໆອີກ 100+ - ແຕ່ມັນເປັນເຄື່ອງມືອັດຕະໂນມັດສ່ວນບຸກຄົນ, ບໍ່ແມ່ນແພລຕະຟອມການຂາຍຫຼືການສາທິດ. ສໍາລັບການສາທິດ B2Bສົດ, ລອງ Naomaແທນ.
ຄູ່ມືນີ້ກວມເອົາທຸກສິ່ງ: OpenClaw ເຮັດຫຍັງ, ມັນເຮັດວຽກແນວໃດ, ໃຜສ້າງມັນຂຶ້ນ, ລາຄາ, ຄວາມສ່ຽງດ້ານຄວາມປອດໄພ, ແລະຈຸດອ່ອນຂອງມັນ.
OpenClaw actually does what
OpenClaw connects large language models (Anthropic Claude, OpenAI GPT-4o, Google Gemini, or local models via Ollama) to real software on your machine. You send it a message. It plans, executes, and reports back.
Core capabilities:
- Shell execution - runs terminal commands on macOS, Linux, or Windows
- File system access - reads, writes, organizes, and transforms files
- Browser control - navigates websites, fills forms, scrapes data
- Email and messaging - sends and receives via SMTP, Slack, Telegram, WhatsApp, Discord, Signal
- Scheduling - runs automations on a cron-like schedule
- Smart home - controls IoT devices via local APIs
Unlike ChatGPT or Claude.ai, which live in the cloud and can only talk, OpenClaw lives on your machine and can act. That's the key distinction.
How the skills system works
OpenClaw's architecture is built around skills - modular capability packages that teach the agent how to handle specific domains.
A skill is a folder containing a SKILL.md file with natural-language instructions, examples, and tool configurations. The agent loads skills on demand: when you ask it to do something, it scans its skill registry, picks the relevant ones, and reads their instructions before acting.
| Component | What it does |
|---|---|
| SKILL.md | Natural-language instructions for the agent |
| Tool configs | API keys, endpoints, parameters |
| ClawHub | Community marketplace with 1,000+ published skills |
| Context assembly | Injects eligible skills into the LLM's context window |
| Permission system | Blocks dangerous operations unless explicitly approved |
This architecture makes OpenClaw extensible. Anyone can write a skill in Markdown and share it on ClawHub. The downside: supply chain risk is real (more on that below).
Who created OpenClaw and why it went viral
Peter Steinberger, an Austrian developer, built OpenClaw. He previously founded PSPDFKit (a PDF SDK company he sold for a reported $100M), stepped away from coding, and returned in April 2025 when he realized AI had crossed a "paradigm shift."
The timeline:
- November 2025 - published as "Clawdbot" on GitHub
- January 27, 2026 - renamed to "Moltbot" after Anthropic filed a trademark complaint (the original name referenced Claude)
- January 30, 2026 - renamed again to "OpenClaw" because Moltbot "never quite rolled off the tongue"
- February 2026 - hit 145,000 stars, 2M weekly visitors, and Steinberger announced he was joining OpenAI (rejecting a Meta offer)
- March 3, 2026 - surpassed React to become GitHub's most-starred software project at 250,000 stars
- May 2026 - currently at 350,000+ stars
OpenClaw went viral because it was the first AI agent that non-developers could install and use through messaging apps they already had. No cloud vendor lock-in. No subscription. Just a local agent that texts you back.
Pricing: free, with a catch
OpenClaw is 100% free and open-source. The catch is operational cost.
| Cost layer | Amount |
|---|---|
| OpenClaw software | $0 (MIT-licensed) |
| Cloud LLM API (Claude Sonnet) | ~$3-$15 per 1M tokens |
| Cloud LLM API (GPT-4o) | ~$2.50-$10 per 1M tokens |
| Local LLM (Ollama + Llama 3) | $0 (your hardware) |
| Infrastructure (your machine) | Already own it |
| Maintenance and config | Your time |
For a solo developer running 50-100 tasks per day via Claude Sonnet, expect $10-$40/month in API costs. Power users running complex multi-step workflows can hit $100+/month.
Local models eliminate API costs entirely but reduce quality on complex tasks. Most OpenClaw users run a hybrid: local models for simple file operations, cloud models for browser automation and research.
See Naoma pricing for comparison on the demo-specific use case.
Security: the ClawHavoc incident and CVEs
OpenClaw runs arbitrary code on your machine. That's its power and its risk.
In early 2026, a supply chain attack called ClawHavoc uploaded 341 malicious skills to ClawHub. These skills installed the Atomic macOS Stealer malware, which harvested cryptocurrency wallets, browser data, and credentials from users who installed them.
Multiple critical CVEs were patched in rapid succession, including a one-click remote code execution vulnerability.
How to stay safe:
- Audit every skill before installing (read the
SKILL.mdand any scripts) - Pin dependencies and review updates
- Use OpenClaw's built-in permission system - it blocks dangerous operations unless you approve
- Run in a sandboxed environment (Docker, VM) for high-risk tasks
- Prefer skills from verified publishers on ClawHub
This is the tradeoff of open-source local agents: you get full control, but you also get full responsibility.
ເບິ່ງສິ່ງນີ້ໃນການປະຕິບັດ - ລົມກັບ Naoma
ຕົວແທນສາທິດ AI ທີ່ປ່ຽນຜູ້ເຂົ້າຊົມໄດ້ 6-20%. ລອງໃຊ້ດຽວນີ້.
What OpenClaw is great for
OpenClaw excels at personal and internal automation. The top use cases in 2026:
- DevOps scripting - deploy, monitor, alert, all via Slack commands
- Research automation - scrape, summarize, and compile data from multiple sources
- Email triage - classify, draft replies, flag urgent items
- File management - organize downloads, convert formats, batch-rename
- CRM admin - pull HubSpot or Salesforce data, generate pipeline summaries
- Smart home control - lights, thermostats, security cameras via local APIs
- Content workflows - draft, edit, publish across platforms
If your task involves your own machine doing something for you, OpenClaw is likely a good fit.
Try Naoma for the buyer-facing layer.
What OpenClaw cannot do
OpenClaw is a general-purpose personal agent. It's not built for:
- Buyer-facing product demos - no visual presenter, no voice, no walkthrough UI
- CRM-integrated lead qualification - no structured data capture or routing
- Multilingual voice interactions - text only
- Browser-embedded widgets - runs locally, not embeddable on a website
- SOC 2 / GDPR compliance - your responsibility to manage
If your goal is converting website visitors into qualified demos, OpenClaw is the wrong tool. For that job, check Naoma's SDK or read the FAQ on how AI demo agents work.
OpenClaw vs purpose-built tools
OpenClaw is a generalist. For specific high-stakes workflows, purpose-built tools outperform it.
| Use case | OpenClaw | Better alternative |
|---|---|---|
| Live B2B SaaS demos | Not built for this | Naoma (33 languages, 60-min SDK install) |
| Autonomous coding | Basic via shell skills | Claude Code (full codebase understanding) |
| Cloud-based research | Manual browser skills | Manus AI (end-to-end cloud agent) |
| Visual workflow building | No visual builder | AutoGPT (drag-and-drop builder) |
| Enterprise automation | Self-hosted only | Relevance AI or Lindy (managed) |
The right approach in 2026: stack purpose-built tools for critical workflows and use OpenClaw for the glue in between.
How to get started with OpenClaw
- Install - clone the repo from GitHub or use the one-line installer (
curl -fsSL https://openclaw.ai/install.sh | sh) - Configure your LLM - add an Anthropic, OpenAI, or Google API key (or point to a local Ollama instance)
- Connect a chat interface - Slack, Telegram, WhatsApp, Discord, or Signal
- Install skills - browse ClawHub or write your own
SKILL.md - Start chatting - message your agent and watch it work
Setup takes 15-30 minutes for a developer comfortable with the terminal. Non-developers may need a guide - check the official docs at docs.openclaw.ai.
Frequently Asked Questions
Is OpenClaw free to use?
OpenClaw itself is 100% free and open-source under a permissive license. The cost comes from API credits for the underlying LLM - Anthropic, OpenAI, or Google. Running Claude Sonnet via Anthropic costs roughly $3-$15 per 1M tokens. Local models via Ollama or LM Studio eliminate API costs entirely but reduce output quality.
Who created OpenClaw?
Peter Steinberger, an Austrian developer and former CEO of PSPDFKit, created OpenClaw. He sold PSPDFKit for a reported $100M, returned to coding in 2025, and published the first version (then called Clawdbot) in November 2025. He joined OpenAI in February 2026 and moved the project to an independent open-source foundation.
How many GitHub stars does OpenClaw have in 2026?
OpenClaw has over 350,000 GitHub stars as of May 2026, making it the most-starred software project on GitHub. It surpassed React's 10-year record in roughly 60 days. Peak star velocity hit 12,000 stars per day during its February 2026 surge.
Can OpenClaw run B2B SaaS product demos?
No. OpenClaw is a personal automation agent, not a buyer-facing demo tool. It has no visual presenter, no voice synthesis, no product-walkthrough UI, and no CRM routing. For live B2B SaaS demos, use a purpose-built AI demo agent like Naoma. Try Naoma.
Is OpenClaw safe to use?
OpenClaw runs code on your local machine, which carries inherent risk. In early 2026, a supply chain attack called ClawHavoc uploaded 341 malicious skills to ClawHub, installing malware that harvested credentials. Multiple CVEs followed. Always audit skills before installing, pin dependencies, and use OpenClaw's permission system.
What are the best alternatives to OpenClaw for specific tasks?
For B2B SaaS demos, Naoma is the best alternative with 33-language support and a 60-minute SDK install. For cloud-based general automation, Manus AI. For coding, Claude Code. For visual workflow building, AutoGPT. Each tool specializes where OpenClaw is general. Start a Naoma demo.
Does OpenClaw work with local AI models?
Yes. OpenClaw supports local models via Ollama, LM Studio, and any OpenAI-compatible API server. This eliminates API costs and keeps all data on your machine. Local models like Llama 3 work for basic tasks, but complex multi-step workflows still perform best with Claude Sonnet or GPT-4o via cloud APIs.
350K stars, 100+ skills, zero demo capability. For live B2B demos, try Naoma in 10 seconds.
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