Deploy a self-hosted REST API for the MESS Exchange protocol.
npx skills add https://github.com/teaguesterling/git-messe-af --skill mess-server
Please help me install this Agent Skill. Skill: mess-server Source: https://github.com/teaguesterling/git-messe-af/tree/main/server Command: npx skills add https://github.com/teaguesterling/git-messe-af --skill mess-server
This Skill provides a self-hosted, robust API for managing physical-world tasks dispatched from AI agents to human executors, offering more control and flexibility than direct GitHub integration.
Deploy the MESS Exchange Server using Docker by running docker compose -f deploy/docker/docker-compose.yml up -d in the server directory.
High-intent search queries and answers about installing and using this skill.
You can deploy a self-hosted REST API to dispatch physical-world tasks from AI agents to human executors via the MESS Exchange protocol. It logs operations as events and reports results back to the agent.
This self-hosted task management API supports multiple deployment options including Docker containers, Kubernetes clusters, and Cloudflare Workers. You can quickly start a local instance using the provided docker-compose file.
Yes, you can send task notifications to Slack, ntfy, or webhooks, and integrate with external task managers like Todoist, Linear, and Google Tasks. This is achieved using custom notification channels and lifecycle hooks for external service automation.
Task execution data in this human-in-the-loop API is stored using an event-sourced architecture, logging all operations as events. This makes the data fully queryable using analytical tools like DuckDB.
Yes, the physical task dispatch protocol works without direct GitHub integration by providing a self-hosted REST API. This offers more control and flexibility for managing human-in-the-loop tasks dispatched from AI agents.
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HuskyDannyManages task lifecycle including creation, prioritization and completion via @doist/todoist-cli.
teaguesterlingManage AI-dispatched tasks through a web-based MESS client interface.
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