reoring/roboppi

Execution-control runtime for AI agents: budgets, cancellation, circuit breakers, and observability—delegating heavy work to external worker CLIs.

18
/ 100
Experimental

This project helps developers build and manage AI agent-based automation without worrying about runaway costs or errors. It takes instructions for tasks, executes them using external AI tools like OpenCode or Claude Code, and provides detailed logs and controls. It's designed for software engineers and DevOps professionals who want reliable, auditable, and budget-conscious AI-powered workflows.

Use this if you are orchestrating complex, multi-step AI agent workflows and need strict control over their execution, resource usage, and error handling.

Not ideal if you are looking for a pre-built AI agent that directly solves a business problem without requiring custom scripting or external worker CLIs.

AI-automation DevOps workflow-orchestration agentic-systems execution-control
No License No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 3 / 25
Community 0 / 25

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Stars

14

Forks

Language

TypeScript

License

Last pushed

Mar 09, 2026

Commits (30d)

0

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