- Updated: February 26, 2026
- 2 min read
Mission Control: Open‑Source AI Agent Task Management Platform Now on GitHub
Mission Control: Open‑Source AI Agent Task Management Platform Now on GitHub
The UBOS community is excited to spotlight Mission Control, a brand‑new open‑source tool designed to orchestrate AI agents and streamline complex workflows. Hosted on GitHub, Mission Control provides a modular architecture that lets developers define, schedule, and monitor tasks across multiple AI agents with ease.
Key Features
- Agent‑centric task queues that support parallel and sequential execution.
- RESTful API for programmatic control and integration with existing services.
- Plug‑and‑play adapters for popular LLMs and custom models.
- Built‑in testing framework and CI pipelines to ensure reliability.
- Comprehensive documentation, roadmap, and contribution guidelines under an MIT license.
The repository includes step‑by‑step installation instructions, Docker support, and example scenarios that demonstrate how Mission Control can power AI‑driven automation in areas such as data processing, autonomous agents, and multi‑step reasoning.
For UBOS users interested in expanding their AI capabilities, Mission Control aligns perfectly with our AI agents ecosystem and complements the suite of open‑source tools we champion.
Explore the code, contribute enhancements, or fork the project to tailor it to your specific workflow needs. Join the conversation on GitHub and help shape the future of AI workflow orchestration.
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.