muxi
Deploy intelligence. Open-source infrastructure for AI agents in production.
Source#
- Repository: muxi-ai/muxi
- Last source update: 2026-07-12
- Last verified: 2026-07-12
Tags#
Integration notes#
Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.
worker.md example#
Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.
---
id: muxi-repo-derived-worker
name: muxi Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/muxi/
source_repository: https://github.com/muxi-ai/muxi
repository_default_branch: main
repository_language: Unknown
repository_license: NOASSERTION
repository_updated_at: 2026-07-12
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-07-12
tags:
- a2a
- agent-framework
- agent-orchestration
- agent-server
- agentic-ai
- ai
---
# muxi Repo-Derived Worker
## Repo-derived summary
- Registry summary: Deploy intelligence. Open-source infrastructure for AI agents in production.
- Repository description: Deploy intelligence. Open-source infrastructure for AI agents in production.
- Stars (snapshot): 267
- Primary language: Unknown
- Worker mode classification: agent-orchestration-worker
## Extracted from
- https://github.com/muxi-ai/muxi
- https://github.com/muxi-ai/muxi/blob/main/README.md
- https://muxi.org/docs/quickstart
- https://muxi.org/docs/installation
- https://muxi.org/docs/sdks
## Evidence notes (from repository text)
- README summary paragraph: No one builds their own Nginx to deploy a website. No one should reinvent infrastructure to build AI.
- MUXI (`/ˈmʌk.siː/`) is **production infrastructure for AI agents**. Not a framework. Not a wrapper. A **server** – where agents are native primitives with built-in orchestration, memory, observability, and scale.
- > MUXI introduced the https://github.com/agent-formation – an open spec for declarative AI systems. Agents, knowledge, A2A, and MCP tools defined in portable `.afs` files.
- Three commands. Your agent is running, stateful, and accessible via API.
- SDKs available for Python, TypeScript, Go, and 9 more languages.
- 📚 **Docs:** https://muxi.org/docs/sdks | https://muxi.org/docs/reference/api-reference
## Installation hints found in README
- No explicit package installation command detected in README text.
## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"task",
"context"
],
"properties": {
"run_id": {
"type": "string"
},
"task": {
"type": "string"
},
"context": {
"type": "object"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"status",
"result"
],
"properties": {
"run_id": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"ok",
"retryable_error",
"invalid_request",
"invalid_output"
]
},
"result": {
"type": "object"
}
}
}
```
### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use
## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.
How to use#
- Save this as a worker spec file (for example:
muxi-my-task.worker.md). - Replace the input/output schemas and purpose with your real bounded task.
- Enforce schema validation + timeout + retry policy in your runtime before production use.
Citation#
Reference URL: https://worker.md/registry/muxi/
Source URL: https://github.com/muxi-ai/muxi