Agentero is an open-source research workspace that connects academic literature management, note-taking, and AI agents in a unified desktop application. It provides PDF reading, highlighting, annotation, and full-text searching. Scientific papers can be converted into structured Markdown and LaTeX, including formulas and tables, for improved AI interpretation. Its bidirectional Markdown notes maintain links between research materials and recorded insights. Users can query documents through local AI agents or external MCP-compatible applications. Literature discovery tools support academic feeds, arXiv recommendations, and citation tracking. Agentero integrates with Zotero for library migration and bibliographic exports. Research files remain accessible in standard local folders, with optional S3 synchronization and command-line automation across Windows, macOS, and Linux.
Features
- Advanced PDF reading with highlighting, annotations, full-text search, and outline navigation
- Structured scientific content extraction with Markdown, LaTeX, formulas, and tables
- Bidirectional research notes with integrated Markdown editing and literature linking
- AI agent integration through ACP, MCP servers, and command-line automation
- Academic literature discovery with RSS feeds, arXiv recommendations, and citation tracking
- Zotero library importing with BibTeX exports and optional S3 synchronization