MUXI (/muk-siː/, Multiplexed eXtensible Intelligence) is an open-source project that makes agents native primitives — not ad hoc scripts or chained prompts — but infrastructure-level processes with built-in orchestration, observability, and scale.
AI infrastructure should be open, not owned by big tech.
We believe AI systems should be:
- Self-hostable - Run anywhere, owned by you
- Observable - See what's happening, always
- Declarative - Version-controlled and reproducible
- Open - No secrets, no lock-in
If you build it, you should control it.
Modern AI workflows still treat agents as code patterns or framework constructs.
We think they deserve their own foundation – a layer where:
- Agents are declared, not improvised
- Coordination and reasoning aren't bolted on
- Memory, context, and tools feel native
- Any model can be used without vendor lock-in
- The system itself understands how agents operate
We’re building infrastructure that reflects this philosophy.
As agents take on more responsibility, they need what every production system relies on: predictability, structure, durability, and clarity. The current ecosystem forces developers to stitch together 12+ tools. We're building the alternative.
Over the coming weeks we’ll share:
- Research notes and architectural concepts
- Early components and experiments
- Developer workflows built around agent-native ideas
- A preview of how this infrastructure fits into real products
The full project will be released by the end of 2025.
- Follow MUXI on GitHub and 𝕏/Twitter to get updates
- Star repositories as they appear
- Check the website once the initial release drops (coming soon)
If you're interested in agent-native infrastructure you can actually own, you're in the right place.