My honest experience with Clawdbot (now Moltbot): where it was great, where it sucked
Claire, the host of How I AI, documents her hands-on experience installing and using Clawbot (now renamed Moltbot), an open-source autonomous AI agent that runs locally on personal devices and can be controlled via messaging apps. The episode candidly explores both the powerful capabilities and serious security risks of giving an AI agent full access to calendars, email, files, and other personal systems, revealing that while the product concept is compelling, the current implementation remains too technically complex and risky for mainstream users.
Key takeaways
- • Clawbot's killer feature is its accessibility via messaging—users can control it through Telegram, WhatsApp, or iMessage with voice or text, making it feel like communicating with a remote assistant.
- • Setting up Clawbot requires significant technical setup (installing dependencies, configuring OAuth flows, managing API credentials) that excludes non-technical users, despite marketing claims of simplicity.
- • Time zone and date handling are critical failure points—the AI agent struggled consistently with calendar date conversions, creating calendar conflicts and demonstrating that LLMs lack true temporal reasoning.
- • Permission scope creep is a serious security concern—the tool defaults to requesting excessive permissions (full email, calendar, file access) rather than minimal necessary access, and most users won't understand the risks.
- • Latency and asynchronous responses undermine productivity—Clawbot takes minutes to complete tasks, making it slower than just doing work manually, and lacks the real-time feedback users expect from coding agents.
- • The research and analysis use case performed best, with Clawbot successfully researching Reddit, synthesizing insights, and delivering actionable reports via email, suggesting it excels at longer-duration, complex tasks rather than quick actions.
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