YAML-driven workflow engine for AI agents
Project description
Agent Workflows
YAML-driven workflow engine for AI agents.
Installation
pip install -e .
Usage
# Run workflow
agent-workflow run
# Custom file
agent-workflow run -f my-workflow.yml
# Validate
agent-workflow validate .agent-workflow.yml
# History
agent-workflow history
Workflow Format
Create .agent-workflow.yml:
name: my-workflow
env:
KEY: value
jobs:
build:
steps:
- uses: terminal/run@v1
with:
command: npm install
- uses: agents/claude_code@v1
with:
prompt: "Generate unit tests"
test:
needs: build
steps:
- uses: terminal/run@v1
with:
command: npm test
Plugins
Built-in Plugins
terminal/run- Run shell commandsterminal/script- Run script filesgit/push- Push changesgit/download- Clone repostemplates/match- Template matchingagents/claude_code- Claude Code agentagents/smol_dev- Smol Dev agentagents/general- General agent
Custom Plugins
Create agent_workflows/plugins/my_namespace/my_plugin.py:
async def execute(ctx: dict) -> None:
logger = ctx['logger']
workspace = ctx['workspace']
params = ctx.get('with', {})
logger("Running my plugin...")
# Plugin logic
Features
- DAG execution with parallel jobs
- Environment variable inheritance
- Run history tracking
- Async plugin system
- Fail-fast error handling
CLI Commands
| Command | Description |
|---|---|
run [-f FILE] [-w WORKSPACE] |
Run workflow |
validate FILE |
Validate syntax |
history [-l LIMIT] |
Show history |
Development
pip install -e ".[dev]"
pytest
License
MIT - Copyright (c) 2025 Siili Solutions Oyj
Project details
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