PeterCat is an open-source conversational agent framework designed to create automated question-and-answer assistants for GitHub repositories and technical projects. The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a knowledge base that the agent uses to respond to inquiries. The framework also provides a configuration system that allows developers to customize how the conversational agent behaves and how it integrates with external services. PeterCat can be deployed as a self-hosted solution and offers an application SDK that enables integration with websites, developer portals, and community support platforms.
Features
- Conversational AI agent for answering questions about GitHub repositories
- Automatic ingestion of repository documentation and issue discussions
- Self-hosted deployment architecture for developer teams
- Application SDK for integration into websites and developer portals
- GitHub application integration for repository interaction
- Configurable agent system for building customized support bots