Hivekeep is a self-hosted platform for running autonomous, persistent personal AI agents that operate continuously on your own infrastructure.
The platform addresses the need to deploy and manage multiple AI agents locally rather than relying on cloud-based services. It provides a framework for creating agents that can perform tasks autonomously and maintain state across sessions. The system is built to support multi-agent coordination, allowing different agents to work together as a team. Agents can be integrated with external services through Telegram bot connectivity and other automation capabilities, enabling them to interact with users and systems beyond the platform itself.
Hivekeep suits developers and individuals who want full control over their AI infrastructure and prefer not to depend on third-party cloud services. It works well for projects requiring persistent agents that need to maintain context and state over time, or scenarios where multiple specialized agents should collaborate on tasks. The self-hosted nature means you retain all data and can customize agent behavior without external service limitations. This approach is appropriate for those comfortable managing their own infrastructure, whether through Docker deployment or direct installation.
The project shows active development with regular commits addressing core functionality and bug fixes. Work spans across multiple areas including agent orchestration, integration features, and platform stability. The codebase demonstrates ongoing refinement of the multi-agent system architecture and expansion of integration capabilities. Development activity indicates sustained attention to both new features and maintenance of existing components.
