ClawPort: Open Source Orchestration for AI Agent Workflows with Self-Healing Cron

ClawPort is an open source orchestration layer for AI agent workflows designed to make scheduled agent pipelines more manageable, observable, and debuggable. The tool specifically addresses pain points developers face when running agents on a schedule, where failures require digging through logs, reproducing issues, and dealing with unclear agent ownership.

Key Features

The cron system in ClawPort includes several practical improvements:

• Auto-configuration: Automatically configures the pipeline on setup
• Self-healing: Recovers automatically when something goes wrong in the workflow
• Direct agent testing: If an agent has ownership over a node in the workflow, you can talk directly to that agent to test what it would actually do before it runs on a live schedule

The developer behind ClawPort notes that the direct testing capability has already prevented at least three bad deployments by allowing them to ask "what would you do with this input" before the agent executes on schedule.

Availability

ClawPort is available now through several channels:

• Website: clawport.dev
• GitHub repository: https://github.com/JohnRiceML/clawport-ui
• npm package: https://www.npmjs.com/package/clawport-ui

The project is described as "still early" and the developer is seeking serious contributors who have experienced similar problems with AI agent workflows running on schedules.