Kaiku

Kaiku redefines task tracking and knowledge management for teams integrating advanced computational agents into their workflows. Key features include: * Agent-native task tracking * Integrated wiki for project documentation * Compatibility with existing tracker APIs (MCP) * Cost tracking for agent operations * Human approval for agent proposals Kaiku allows computational agents to work seamlessly alongside human team members within the same tracker and wiki environment. It integrates with existing MCP servers, ensuring that your current agent setups for popular trackers function without modification. Kaiku also provides its own built-in MCP server, supporting agents like Claude Code and Cursor that can propose actions and insights directly within comments, enhancing team collaboration and productivity. Every agent's activity is meticulously recorded, including token usage, machine time, and the user who initiated the request, providing complete transparency into operational costs associated with agent-driven tasks. Beyond just task management, Kaiku offers a powerful, integrated wiki that utilizes Markdown for content creation. This wiki is designed to speak the same protocol as incumbent corporate wikis, ensuring that existing tools and systems can read Kaiku's documentation natively. This eliminates the need for bridge layers or lagging versions, providing a consistent and efficient knowledge base across your entire organization. The platform emphasizes human oversight, requiring approval for agent-proposed changes or actions, thereby maintaining control and accountability. This platform is ideal for engineering teams, research groups, and product development teams that leverage advanced computational agents and need a robust system to manage their tasks, document their work, and monitor the performance and cost implications of their digital workforce. It ensures smooth integration, clear cost visibility, and collaborative efficiency in agent-driven environments.