What is MUXI?

No one builds their own Nginx to deploy a website. No one should reinvent infrastructure to build AI.

MUXI is production-ready infrastructure for AI agents. Not a framework. Not a wrapper. A server.

Think of it this way:

• Websites have web servers (Nginx, Apache)
• APIs have application servers (Express, FastAPI)
• Agents now have MUXI

flowchart TB
    subgraph "The MUXI Stack"
        A["SDKs:
Python, TypeScript, Go, Swift, Java..."]
        B["APIs:
REST endpoints for chat, deploy, stream"]
        C["Runtime:
Agents, memory, tools, orchestration"]
        D["Server:
Multi-formation deployments, auth, routing"]
    end

flowchart TB
    subgraph "The MUXI Stack"
        A["<b>SDKs:</b><br>Python, TypeScript, Go, Swift, Java..."]
        B["<b>APIs:</b><br>REST endpoints for chat, deploy, stream"]
        C["<b>Runtime:</b><br>Agents, memory, tools, orchestration"]
        D["<b>Server:</b><br>Multi-formation deployments, auth, routing"]
    end

How it runs

Like a web application:

How you ship it

Like Docker:

The key insight: You build applications ON TOP of MUXI using SDKs. Your frontend, mobile app, or backend talks to MUXI via API. MUXI handles orchestration, memory, multi-tenancy, and observability.

That's what makes it infrastructure, not a framework.

The Problem

Building a demo agent is easy:

response = openai.chat("Hello, world!")

Building a production agent system requires:

• Multi-agent orchestration and coordination
• Memory management (short-term, long-term, semantic)
• Tool integration (APIs, databases, file systems)
• Multi-tenant isolation and security
• Observability and debugging
• Deployment, scaling, and lifecycle management

Most teams spend 3-6 months building this infrastructure before shipping a single feature.

The question: Is agent infrastructure your core IP, or is it plumbing blocking your actual product?

The Solution

MUXI treats agents as native infrastructure primitives. Declare them in YAML, deploy with one command, manage like containers.

Declare your system in YAML

# formation.afs - A complete AI system definition
schema: "1.0.0"
id: customer-support

llm:
  models:
    - text: openai/gpt-4o

agents:
  - id: triage
    role: "Route customer inquiries"
  - id: technical
    role: "Handle technical issues"
  - id: billing
    role: "Handle billing questions"

memory:
  persistent:
    enabled: true

mcp:
  servers:
    - id: zendesk
    - id: stripe

Deploy with one command

muxi deploy
# That's it. You're live.

Build on top

from muxi import FormationClient

formation = FormationClient(
    server_url="http://server:7890",
    formation_id="customer-support",
    client_key="<your-client-key>",
)
response = formation.chat(
    {"message": "I need a refund"},
    user_id="user_123",
)

Key Capabilities

Built for Production

MUXI includes the infrastructure that normally appears after a prototype fails its first production review: group-based RBAC, per-user credentials, scoped and auditable memory, idempotent mutations, circuit breakers, fallback models, typed observability, PII redaction, isolated runtimes, health checks, updates, and rollbacks.

Declare Once, Deploy Everywhere

MUXI created the Agent Formation Schema – an open spec for declarative AI systems. Agents, knowledge, tools, and settings defined in portable .afs files.

Like a Dockerfile for containers, but for agents.

Formations are:

• Portable – Run anywhere MUXI runs
• Versionable – Git-friendly YAML files
• Shareable – Push to the registry, pull anywhere

The Formation Registry

Discover and share formations through the MUXI Registry. Like Docker Hub, but for AI agents.

# Pull a pre-built formation
muxi pull @acme/customer-support

# Publish the current formation
cd my-agent
muxi push

Browse community formations, install with one command, customize for your needs.

Open Source & Self-Hosted

MUXI is open-source and self-hostable. Your data stays on your infrastructure. No vendor lock-in. No per-seat pricing. No usage limits. Free forever. Revenue from optional support services.

• Full source code on GitHub
• Single binary installation
• Works on Linux, macOS, Windows, Docker
• Enterprise controls included

How It Compares

MUXI makes frameworks obsolete for 90% of use cases.

vs. AI Assistants (OpenClaw, ChatGPT)

Different layer entirely. OpenClaw is a personal AI assistant (single-user product). MUXI is infrastructure to build products like OpenClaw – with multi-tenancy, proper memory, and SDKs for integration.

MUXI is infrastructure, not a framework. Frameworks help you write agent logic. MUXI runs agents in production.

Who Is MUXI For?

Platform Builders

Building a SaaS with AI features? MUXI handles orchestration, memory, and multi-tenancy so you can focus on your product.

Internal Tool Builders

Deploying AI systems across your organization? MUXI gives you group-based RBAC, scoped memory, per-user credentials, SOPs, observability, and self-tuning out of the box.

Developers Tired of Framework Hell

Spent months on LangChain orchestration code? MUXI replaces it with YAML configuration and a single deploy command.

Next Steps