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Agentero

Agentero• Pinned

Agentero: A unified research workspace for human and agent collaboration, combining PDF reading, structured context, literature management, notes, and writing.

What problem it solves

Research context is often fragmented across PDF libraries, note applications, and separate model conversations, forcing researchers to move or copy information manually between tools. PDFs can also be difficult for models to interpret reliably, while common AI reading, translation, synchronization, and batch-import workflows require multiple plugins or repetitive manual actions.

Key features

  • Structured reading and linked notes — Read and annotate PDFs while extracting formulas, pseudocode, and tables into structured Markdown and LaTeX. Notes support wiki-style links and live LaTeX rendering to connect findings with source literature.

    Source: README

  • Open agent protocols and automation — Connect locally running agents through the Agent Client Protocol and expose the local literature library through the Model Context Protocol. A headless CLI supports scripted import, metadata extraction, and note-writing workflows.

    Source: README

  • Literature discovery and citation tracking — Browse and archive papers from integrated discovery channels and academic RSS feeds. The workspace can recommend relevant daily arXiv papers from the local collection, import references in batches, and track later citations.

    Source: README

  • Local storage and ecosystem compatibility — Import an existing Zotero database while preserving tags, notes, and attachments, then export citations as BibTeX or BibLaTeX. PDFs and Markdown remain in standard local folders, with S3-compatible synchronization and SSH access for remote deployments.

    Source: README

Quick start

Copied verbatim from the project's README.

brew tap poco-ai/agentero
brew install agentero

# 查看常用命令与参数
agentero --help

Who it may suit

This may suit researchers who want to read and annotate papers while giving locally running agents structured access to the same literature and notes.

Topics to discuss

  • Which local research workflows would benefit most from a shared literature and note context?

  • What metadata and structured formats should the CLI prioritize for batch automation?

  • How should Zotero imports preserve and validate existing tags, notes, and attachments?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/poco-ai/Agentero#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/poco-ai/Agentero

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