What problem does it solve?
Managing complex AI-driven workflows requires deterministic orchestration, integration of external tools, and safeguards to ensure safety and reproducibility.
Core Features & Use Cases
- Workflow Automation: Define and execute long-running, multi-step AI workflows with dependencies and conditions.
- Command and Prompt Management: Create reusable command templates and inline prompts for AI agents.
- Integration with External Tools: Connect to MCP servers, skills, and external tools for domain-specific tasks.
- Development Environment Isolation: Use isolated git worktrees for parallel development, testing, and safe experimentation.
- Example Use: Automatically classify GitHub issues, generate implementation plans, validate results, and create PRs consistently.
Quick Start
Use the archon skill to set up workflows, run commands, and manage configurations in your project.