Show HN: SecLaw – Self-hosted AI agents on your machine, Docker-isolated (github.com)

A new self-hosted AI tool, SecLaw, has been launched allowing users to run autonomous AI agents securely on their own machines within Docker containers. Users can set up multiple agents, all managed through a single Telegram bot interface, in under 60 seconds by simply entering their LLM choice and Telegram token. Unlike its predecessor OpenClaw, which lacked container isolation and security, SecLaw addresses these vulnerabilities by enforcing Docker-level security, ensuring API keys and file permissions are kept secure with no exposure to the host environment. This innovation is particularly significant for the AI/ML community as it allows individuals and organizations to leverage powerful AI capabilities while maintaining control over their data. With 17 built-in templates, users can automate tasks ranging from email management to research and project coordination, all without needing extensive technical knowledge. The automated routing of tasks and attributes enables seamless integration between the agents, fostering collaboration and efficiency. SecLaw not only enhances user privacy but also reduces operational complexity, making advanced AI technologies more accessible to a broader audience.