Turns deep-research questions into reusable, source-grounded Workspaces with review checkpoints and background tasks, enabling structured research and reporting.
Connects AI assistants to the Maestro research framework to orchestrate multi-agent research missions, including planning, research, and writing phases. It enables users to launch research tasks, track real-time progress, and retrieve comprehensive structured reports and notes.
Enables writers and researchers to manage large Markdown documents with AI-powered tools, including version history, semantic search, and context management.
Enables AI-powered research by breaking a topic into subtopics, gathering information via agents, and compiling a report. Integrates with LangGraph and RAG for orchestration and contextual retrieval.
Enables AI agents to save, search, and manage markdown-based research articles through a complete CRUD interface. Supports creating, reading, updating, and deleting articles with frontmatter metadata in a self-hosted file-based system.
Automates the full academic research pipeline from refining research questions to generating publication-ready reports, integrating with major AI clients.