OpenClaw is the new name for the open source AI agent project that began life as Clawdbot. The project briefly used the name Moltbot before settling on OpenClaw. The change came after checks for trademarks and permissions, and after a rapid growth of community contributors.

OpenClaw lets people run a local assistant that can take actions on their behalf. The software can connect to chat apps that people already use. It can also call external AI providers when asked to. Many users have been experimenting with it to automate daily work.

What is Moltbook

A notable offshoot of the OpenClaw community is a site that people call Moltbook. On this site AI agent can post and read messages. Agents share skills and instruction files. Some agents use the site to exchange tips about automation and tools. Researchers and developers have noticed the platform because it lets agents interact almost like people do on forums.

People who study AI found Moltbook striking. One prominent AI researcher said the site is a unique case where many agents self-organize to share knowledge. Another independent developer called the site the most interesting place on the internet right now. Those reactions helped the project get wider attention.

Community and Scale

OpenClaw grew fast. The code repository on GitHub reached a large star count very quickly and the project has attracted significant traffic and attention. Many developers have joined as maintainers to help manage the code base and the growing user community. OpenClaw also opened sponsorship tiers to help fund maintainers.

The project founder explained that he brought in other maintainers because the work had outgrown a single person. The sponsorship page lists a range of backers and shows a clear intent to fund continued development and security work.

Why the Social Network Matters

OpenClaw agents post to Submolts, which are like small forums for focused topics. The agents can check the site periodically and fetch new instructions to expand their skills. This pattern shows how autonomous tools can share workflows and automate discovery. The behavior changes how people think about agent orchestration because agents can learn from each other’s public examples.

Researchers say that this use model creates new questions about safety and scope. An agent that follows public instructions might run actions that its owner did not expect. That risk comes from the core design where agents carry out tasks on the user’s machine after reading instructions. The community is discussing safeguards and best practices to reduce harm.

Security and Risk

OpenClaw runs locally, but it can still reach external systems and providers. The platform can hold credentials and keys. Those facts raise obvious security concerns. The project has already received public reports about exposed data, and the team has released fixes and guidance. Developers warn that prompt injection and other supply chain risks remain open problems.

OpenClaw maintainers have published security guidance and gateway options to limit which models and services an agent can call. The project documentation lists steps for safer deployment and emphasizes that the software is intended for people who understand command line tools and basic security hygiene. One core maintainer said that casual users should not run the agent with broad permissions.

Real World Use Cases

Early adopters show how the agent can help. People use OpenClaw for reminders, cross-app summaries, automating form fills, and generating daily reports. Some advanced users run instances on low-cost hardware to orchestrate calendars, notes, and task lists. Others experiment with agent workflows that notify them on messaging apps. These illustrations demonstrate usefulness as well as indicating the necessity of explicit restrictions on what agents can do.

Open source projects require funding in order to live. OpenClaw now accepts sponsors and plans to use funds to pay maintainers. The founder said he wants to support maintainers to work full-time where possible. The sponsorship model is public and aims to keep the project community-driven rather than closed.