Show HN: Lots of Agents – Infinite Logged in Grok Bots on One Mac
Description and use
**Project Summary**
"Show HN: Lots of Agents" is an open-source project that automates repetitive workflows by simulating infinite logged-in Grok bots on a single Mac. This project aims to reduce manual labor and increase productivity by connecting tools into repeatable flows and scheduling operational tasks. With its medium production readiness, it's suitable for prototype development or internal workflows, but requires thorough checks on dependencies and maintenance before deployment.
**Value Proposition**
The project's value lies in its ability to automate repetitive tasks, freeing up time for more strategic and creative work. By connecting tools into repeatable flows, users can streamline their workflows and increase efficiency.
**Practical Adoption Path**
To adopt this project, follow these steps:
- **Manual Inspection**: Review the project's code, documentation, and issues to understand its functionality and potential limitations.
- **Verify Integration**: Test the project's integration with your specific tools and workflows to ensure seamless connectivity.
- **Dependency and Maintenance Checks**: Verify the project's dependencies and maintenance requirements to ensure they align with your organization's standards.
- **Prototype Development**: Use the project in a prototype environment to test its efficacy and identify potential issues.
Before adopting
Review the current source documentation, licensing terms, dependencies, and maintenance status against your intended use. [View the source](https://github.com/carllippert/lots_of_agents).
Use in a workflow
Show HN: Lots of Agents – Infinite Logged in Grok Bots on One Mac helps remove repetitive manual operations from a workflow.
- remove manual work
- connect tools into repeatable flows
- schedule operational tasks
Limitations and review notes
Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.
- Source: hackernews
- Record date: 2026-09-05T17:30:53.138Z