OpenClaw captured the AI community's attention, gaining massive traction on GitHub in just a few weeks, demonstrating that AI agents could perform genuine autonomous work: managing emails, calendars, files, web browsing, commands, and persistent memory across WhatsApp, Telegram, Discord, Slack, and more.

The rapid growth revealed serious security issues, thousands of exposed instances leaking credentials, high rates of vulnerable skills, prompt injection risks, remote code execution vulnerabilities, and downtime when local machines or centralized hosts go offline.

What Is LiberClaw?

LiberClaw builds on that powerful agent structure, but fixes the issues by running on infrastructure that nobody can switch off or track. LiberClaw agents run in isolated, confidential VMs on Aleph Cloud, a global network of distributed nodes, ensuring prompts, data, and inference powered by LibertAI stay private.

Why choose LiberClaw over OpenClaw?
OpenClaw proved AI agents could deliver real productivity, but practical constraints remained:

• Agents stop when your computer powers off or your internet connection shuts down. Most agents usually ran on personal laptops, home servers, or rented virtual machines. When the device shut down or lost connection, the agent stopped.

• A single provider can restrict access at any moment, monitor activity, or shut down instances.

• Thousands of instances became visible on the public internet due to leaked credentials.

• Many setups require handing API keys to services that record every interaction, exposing keys or secrets in plaintext, or sending data to tracking third-party services.

LiberClaw was created to remove those constraints. We want developers and users to build AI that cannot be surveilled, tracked, or deleted by any central authority. We care about data sovereignty, private AI inference, and the ability to build without asking permission. LiberClaw deploys AI agents to Aleph Cloud, enabling them to continue running on independent infrastructure that no single person or corporation owns.

LiberClaw vs OpenClaw (Security Comparison)

How LiberClaw works: fast and no-code AI agent deployment
Creating your first personal AI agent remains fast and simple.

1. Aleph Cloud auto-selects the best available node.
2. Your agent deploys to a dedicated virtual machine or confidential VM.
3. Your settings and secure HTTPS access are configured instantly.
4. The agent gets a stable URL assigned and runs continuously.

No manual configuration of VPS or VM is required.

The full agent setup usually completes in under 5 minutes at app.liberclaw.ai, and deployment often takes seconds because Aleph Cloud maintains a pool of pre-warmed machines.

Every agent operates in complete isolation, with its own execution environment, filesystem, and database. Nothing is shared between different agents.

Private inference by LibertAI (No OpenAI / Claude API Required)
LiberClaw agents use LibertAI open-source LLM models running on the same distributed Aleph infrastructure, rather than expensive API services from large companies.

This approach delivers several advantages:
- No external API keys required for AI credits (no OpenAI or Claude expensive bills).
- No content moderation or filters blocking your prompts.
- No third party tracks your usage or what you ask.

Available models include Qwen3 Coder (excellent for programming and tool-calling use) and GLM-4.7 (strong general reasoning). Inference stays private, verifiable, fast, and cost-effective.

Built-in security: Addressing OpenClaw vulnerabilities
We studied the security incidents that the OpenClaw community encountered closely and made security a non-negotiable in LiberClaw.

- Credentials are encrypted with Fernet encryption before they reach disk. Nothing is left readable. Each agent uses a unique key that stays encrypted.
- Access tokens expire after 15 minutes. Refresh tokens rotate with every use, so a stolen token quickly becomes useless.
- Strict VM isolation prevents one compromised agent from reaching any other. No agent can reach or affect any other agent on the network.
- Commands pass through safety checks that block anything capable of exposing secrets, deleting important data, or damaging the system.
- Skills remain inside the workspace of a single agent. No shared collection exists that could let malicious code propagate widely.

Confidential AI agents computing through Trusted Execution Environments keep everything you send and receive private during execution. Your prompts, files, and outputs stay confidential; nothing is logged for training or sold to third parties.

Familiar workflow for OpenClaw users with major upgrades

If you already know OpenClaw, LiberClaw feels instantly recognizable:

- Skills are written as markdown files that describe what the agent can do.
- Tools include shell code execution, file management, web fetching, and the option to create background tasks for subagents parallel work.

Anyone who has created skills or set up agents in OpenClaw will recognize the flow immediately. The meaningful upgrade is the change in location to unstoppable decentralized hosting. Agents now run on decentralized infrastructure built for resilience and independence.

Persistent memory and continuous agent operation

Agents remember knowledge in their private storage across sessions:
- Long-term memory survives between different conversations.
- Daily content holds for ongoing work.
- Conversation history is summarized automatically for long contexts.

All storage lives on the agent’s own isolated machine. No central database collects your history or feeds it into model training or the feedback loop.

Once launched, your agent runs continuously, background processes continue, and results are available when you return.

Your agent does not pause when you step away or when you're offline.
Get started with LiberClaw and try the free tier available

LiberClaw is live today.

- Visit https://app.liberclaw.ai to deploy your first agent
- The free tier gives you 2 agents, no credit card required.
- Start using your new personal AI agent in under 5 minutes
- Agents stay active 24/7 on a decentralized infrastructure.

Liberclaw's source code is open on GitHub, including the libertai-agents framework compatible with LangChain tools.

*LiberClaw is built by the LibertAI team and runs on Aleph Cloud infrastructure.*

Deploy your personal AI agent now. Experience autonomy that respects your privacy and does not depend on anyone else’s permission. Your data stays yours. Your agent keeps running. 😎

Frequently Asked Questions

What is LiberClaw and how is it related to OpenClaw?
LiberClaw is a decentralized evolution built on the same core agent concepts as OpenClaw (markdown skills, tool calling, persistent memory, messaging integrations). It reimplements the workflow while deploying agents on Aleph Cloud's decentralized infrastructure for true 24/7 resilience, privacy, and no single point of failure.

Why would someone switch from OpenClaw to LiberClaw?
OpenClaw's explosive popularity (~221k GitHub stars) came with serious downsides: thousands of exposed instances leaking credentials, high-severity CVEs (RCE, command injection), malicious skills, and downtime when your device/server goes offline. LiberClaw eliminates these by using isolated confidential VMs, encrypted everything, decentralized hosting, and no shared vulnerable ecosystem.

Is LiberClaw really more secure than OpenClaw?
Yes, OpenClaw deployments often expose admin interfaces and keys (reports of 21,000–135,000+ exposed instances), while LiberClaw agents run by design in firewalled, TEE-protected VMs with encrypted credentials, rotating tokens, command filters, and strict isolation. No public registry means no supply chain attacks via malicious skills.

Does LiberClaw require API keys from OpenAI or Anthropic?
No. LiberClaw uses decentralized inference via LibertAI models (e.g., Qwen3 Coder for programming/tool use, GLM-4.7 for reasoning), no external keys, no content filters, no tracking.

How long does it take to deploy an agent on LiberClaw?
Under 5 minutes via the web dashboard at app.liberclaw.ai and often seconds once you pick a template and customize. Aleph Cloud assigns nodes from a pre-warmed pool of virtual machines.

What happens if one Aleph Cloud node goes down?
Agents are resilient; the decentralized network redistributes or maintains operation across independent nodes worldwide. No single machine, company, or jurisdiction can stop your agent.

Is LiberClaw free to use?
Yes, you can start with the free tier (2 always-on agents, no credit card). Scale up as needed. Full source code is open on GitHub (LibertAI organization).

Can I use my existing OpenClaw skills in LiberClaw?
Yes, the markdown skill format and tool calling flow are very similar. Most OpenClaw users can migrate skills quickly; the main change is the resilient decentralized runtime.

OpenClaw captured the AI community's attention, gaining massive traction on GitHub in just a few weeks, demonstrating that AI agents could perform genuine autonomous work: managing emails, calendars, files, web browsing, commands, and persistent memory across WhatsApp, Telegram, Discord, Slack, and more.

The rapid growth revealed serious security issues, thousands of exposed instances leaking credentials, high rates of vulnerable skills, prompt injection risks, remote code execution vulnerabilities, and downtime when local machines or centralized hosts go offline.

What Is LiberClaw?

LiberClaw builds on that powerful agent structure, but fixes the issues by running on infrastructure that nobody can switch off or track. LiberClaw agents run in isolated, confidential VMs on Aleph Cloud, a global network of distributed nodes, ensuring prompts, data, and inference powered by LibertAI stay private.

Why choose LiberClaw over OpenClaw?
OpenClaw proved AI agents could deliver real productivity, but practical constraints remained:

• Agents stop when your computer powers off or your internet connection shuts down. Most agents usually ran on personal laptops, home servers, or rented virtual machines. When the device shut down or lost connection, the agent stopped.

• A single provider can restrict access at any moment, monitor activity, or shut down instances.

• Thousands of instances became visible on the public internet due to leaked credentials.

• Many setups require handing API keys to services that record every interaction, exposing keys or secrets in plaintext, or sending data to tracking third-party services.

LiberClaw was created to remove those constraints. We want developers and users to build AI that cannot be surveilled, tracked, or deleted by any central authority. We care about data sovereignty, private AI inference, and the ability to build without asking permission. LiberClaw deploys AI agents to Aleph Cloud, enabling them to continue running on independent infrastructure that no single person or corporation owns.

LiberClaw vs OpenClaw (Security Comparison)

How LiberClaw works: fast and no-code AI agent deployment
Creating your first personal AI agent remains fast and simple.

1. Aleph Cloud auto-selects the best available node.
2. Your agent deploys to a dedicated virtual machine or confidential VM.
3. Your settings and secure HTTPS access are configured instantly.
4. The agent gets a stable URL assigned and runs continuously.

No manual configuration of VPS or VM is required.

The full agent setup usually completes in under 5 minutes at app.liberclaw.ai, and deployment often takes seconds because Aleph Cloud maintains a pool of pre-warmed machines.

Every agent operates in complete isolation, with its own execution environment, filesystem, and database. Nothing is shared between different agents.

Private inference by LibertAI (No OpenAI / Claude API Required)
LiberClaw agents use LibertAI open-source LLM models running on the same distributed Aleph infrastructure, rather than expensive API services from large companies.

This approach delivers several advantages:
- No external API keys required for AI credits (no OpenAI or Claude expensive bills).
- No content moderation or filters blocking your prompts.
- No third party tracks your usage or what you ask.

Available models include Qwen3 Coder (excellent for programming and tool-calling use) and GLM-4.7 (strong general reasoning). Inference stays private, verifiable, fast, and cost-effective.

Built-in security: Addressing OpenClaw vulnerabilities
We studied the security incidents that the OpenClaw community encountered closely and made security a non-negotiable in LiberClaw.

- Credentials are encrypted with Fernet encryption before they reach disk. Nothing is left readable. Each agent uses a unique key that stays encrypted.
- Access tokens expire after 15 minutes. Refresh tokens rotate with every use, so a stolen token quickly becomes useless.
- Strict VM isolation prevents one compromised agent from reaching any other. No agent can reach or affect any other agent on the network.
- Commands pass through safety checks that block anything capable of exposing secrets, deleting important data, or damaging the system.
- Skills remain inside the workspace of a single agent. No shared collection exists that could let malicious code propagate widely.

Confidential AI agents computing through Trusted Execution Environments keep everything you send and receive private during execution. Your prompts, files, and outputs stay confidential; nothing is logged for training or sold to third parties.

Familiar workflow for OpenClaw users with major upgrades

If you already know OpenClaw, LiberClaw feels instantly recognizable:

- Skills are written as markdown files that describe what the agent can do.
- Tools include shell code execution, file management, web fetching, and the option to create background tasks for subagents parallel work.

Anyone who has created skills or set up agents in OpenClaw will recognize the flow immediately. The meaningful upgrade is the change in location to unstoppable decentralized hosting. Agents now run on decentralized infrastructure built for resilience and independence.

Persistent memory and continuous agent operation

Agents remember knowledge in their private storage across sessions:
- Long-term memory survives between different conversations.
- Daily content holds for ongoing work.
- Conversation history is summarized automatically for long contexts.

All storage lives on the agent’s own isolated machine. No central database collects your history or feeds it into model training or the feedback loop.

Once launched, your agent runs continuously, background processes continue, and results are available when you return.

Your agent does not pause when you step away or when you're offline.
Get started with LiberClaw and try the free tier available

LiberClaw is live today.

- Visit https://app.liberclaw.ai to deploy your first agent
- The free tier gives you 2 agents, no credit card required.
- Start using your new personal AI agent in under 5 minutes
- Agents stay active 24/7 on a decentralized infrastructure.

Liberclaw's source code is open on GitHub, including the libertai-agents framework compatible with LangChain tools.

*LiberClaw is built by the LibertAI team and runs on Aleph Cloud infrastructure.*

Deploy your personal AI agent now. Experience autonomy that respects your privacy and does not depend on anyone else’s permission. Your data stays yours. Your agent keeps running. 😎

Frequently Asked Questions

What is LiberClaw and how is it related to OpenClaw?
LiberClaw is a decentralized evolution built on the same core agent concepts as OpenClaw (markdown skills, tool calling, persistent memory, messaging integrations). It reimplements the workflow while deploying agents on Aleph Cloud's decentralized infrastructure for true 24/7 resilience, privacy, and no single point of failure.

Why would someone switch from OpenClaw to LiberClaw?
OpenClaw's explosive popularity (~221k GitHub stars) came with serious downsides: thousands of exposed instances leaking credentials, high-severity CVEs (RCE, command injection), malicious skills, and downtime when your device/server goes offline. LiberClaw eliminates these by using isolated confidential VMs, encrypted everything, decentralized hosting, and no shared vulnerable ecosystem.

Is LiberClaw really more secure than OpenClaw?
Yes, OpenClaw deployments often expose admin interfaces and keys (reports of 21,000–135,000+ exposed instances), while LiberClaw agents run by design in firewalled, TEE-protected VMs with encrypted credentials, rotating tokens, command filters, and strict isolation. No public registry means no supply chain attacks via malicious skills.

Does LiberClaw require API keys from OpenAI or Anthropic?
No. LiberClaw uses decentralized inference via LibertAI models (e.g., Qwen3 Coder for programming/tool use, GLM-4.7 for reasoning), no external keys, no content filters, no tracking.

How long does it take to deploy an agent on LiberClaw?
Under 5 minutes via the web dashboard at app.liberclaw.ai and often seconds once you pick a template and customize. Aleph Cloud assigns nodes from a pre-warmed pool of virtual machines.

What happens if one Aleph Cloud node goes down?
Agents are resilient; the decentralized network redistributes or maintains operation across independent nodes worldwide. No single machine, company, or jurisdiction can stop your agent.

Is LiberClaw free to use?
Yes, you can start with the free tier (2 always-on agents, no credit card). Scale up as needed. Full source code is open on GitHub (LibertAI organization).

Can I use my existing OpenClaw skills in LiberClaw?
Yes, the markdown skill format and tool calling flow are very similar. Most OpenClaw users can migrate skills quickly; the main change is the resilient decentralized runtime.