qm – Multiplayer agent harness for work (github.com)

Article summary

QM is a multiplayer agent harness designed for startups, allowing employees to work independently and collaboratively with an agent in various channels and projects. The agent has its own isolated workspace, memory, and permissions, and can be integrated with Slack and web apps. QM is built with open source in mind, allowing users to pick their own harness and model. The project has a unique contribution process, where contributors are asked to submit human-written text describing the change they'd like to make, rather than code.

Main themes

• AI-generated code
• contribution process
• open-source development
• agent harness
• collaborative work
• code review
• provenance and trust

What commenters say

• The contribution process of submitting human-written text instead of code is seen as a good way to filter out low-quality contributions and ensure that only well-thought-out ideas are implemented.
• Some contributors find the process of submitting human-written text to be more time-consuming and bureaucratic than simply submitting code.
• The use of AI-generated code can lead to average or low-quality designs and implementations if not properly reviewed and refined.
• Allowing AI to generate code can save time and effort for human developers, but it also requires careful review and testing to ensure that the code is correct and maintainable.
• The quality of the idea is more important than the implementation effort when it comes to contributing to open-source projects.
• Some developers prefer to use smaller, more lightweight agents that can be extended as needed, rather than large and feature-rich agents like Hermes.
• The use of agents can be helpful for tasks such as automated coding, testing, and deployment, but it also requires careful consideration of issues like provenance, review ergonomics, and trust.