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Define, manage, and collaborate on AI agents with a Git-native standard.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "opengap" yet — see the docs or source repo.
Using the OpenGAP standard, design an AI agent definition setup for a product engineering team, including a coding assistant, documentation assistant, and release assistant, with roles, inputs and outputs, permission boundaries, and versioning recommendations.
A structured AI agent definition plan describing each agent’s responsibilities, interfaces, and Git-based management approach.
I have a Node.js project repository. Generate a draft AI agent configuration following OpenGAP principles for code review, test generation, and change summaries, and include suggested directory structure.
A draft agent configuration for the repository, including agent roles, file organization, and usage guidance.
Design a multi-agent collaboration workflow based on OpenGAP: a requirements agent outputs tasks, a development agent implements code, a testing agent validates results, and a release agent generates release notes.
A clear multi-agent workflow showing handoffs, inputs and outputs, and collaboration order between agents.
Build, run, and manage workflows with an open-source agent operating system.
Build multi-agent workflows to automate coding, analysis, and task orchestration.
Turn goals into task DAGs and orchestrate TypeScript-native multi-agent workflows.
Give coding agents memory, validation, and feedback across sessions.
Discover, audit, and recommend the right skills for AI agents.
Invoke coding agents from Slack and GitHub mentions, with threaded results returned.