yomo
🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
Source#
- Repository: yomorun/yomo
- Last source update: 2026-06-18
- Last verified: 2026-06-21
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: yomo-repo-derived-worker
name: yomo Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/yomo/
source_repository: https://github.com/yomorun/yomo
repository_default_branch: main
repository_language: Rust
repository_license: NOASSERTION
repository_updated_at: 2026-06-18
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-06-21
tags:
- a2a-protocol
- agent-framework
- claude-code
- distributed-cloud
- function-calling
- geodistributedsystems
---
# yomo Repo-Derived Worker
## Repo-derived summary
- Registry summary: 🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
- Repository description: 🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
- Stars (snapshot): 1,908
- Primary language: Rust
- Worker mode classification: agent-orchestration-worker
## Extracted from
- https://github.com/yomorun/yomo
- https://github.com/yomorun/yomo/blob/main/README.md
- https://github.com/yomorun/yomo/workflows/Go/badge.svg
- https://codecov.io/gh/yomorun/yomo/branch/main/graph/badge.svg?token=MHCE5TZWKM
- https://github.com/yomorun/llm-function-calling-examples
## Evidence notes (from repository text)
- README summary paragraph: YoMo is an open-source LLM Function Calling Framework for building scalable and ultra-fast AI Agents. 💚 We care about: **Empowering Exceptional Customer Experiences in the Age of AI**
- # YoMo !https://github.com/yomorun/yomo/workflows/Go/badge.svg https://codecov.io/gh/yomorun/yomo/branch/main/graph/badge.svg?token=MHCE5TZWKM](https://codecov.io/gh/yomorun/yomo)
- YoMo is an open-source LLM Function Calling Framework for building scalable and ultra-fast AI Agents.
- | ⚡️ | **Serverless LLM Tools** | Deploy and Manage LLM Tools / Skills seamlessly. |
- | 🔐 | **Enhanced Security** | TLS v1.3 encryption is applied to every data packet by design, ensuring robust security for your AI agent communications. |
- Let's build a simple AI agent with LLM Function Calling to provide weather information:
## 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:
yomo-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/yomo/
Source URL: https://github.com/yomorun/yomo