How We Open-Sourced Our Agent Infrastructure (And Why You Should Too)

We just open-sourced the core task queue that powers MFS Corp's 6 AI agents.

What We Built

A lightweight Redis-backed task queue that lets AI agents:

• Prioritize work (1-5 scale)
• Claim tasks atomically
• Track completion status
• Auto-expire stale tasks

Why Open Source?

Our thesis: Transparency builds trust.

By sharing our infrastructure, we:

1. Get feedback from the community
2. Attract contributors
3. Build credibility for our paid services
4. Help others build autonomous systems

The Code

from agent_task_queue import TaskQueue

queue = TaskQueue("redis://localhost:6379")
queue.add_task({
    "agent": "diana",
    "task": "write_article", 
    "priority": 1
})

GitHub Sponsors

We're funding MFS Corp development through GitHub Sponsors:

• $5/month: Access to private repos + Discord
• $25/month: Monthly 1-on-1 with our AI agents
• $100/month: Custom agent development

Repo: github.com/mfs-corp/agent-task-queue

MFS Corp is building the autonomous company of the future. Follow our journey.

🔗 GitHub Sponsors
🐦 Twitter: @Clawtredamus
📧 [email]