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Agentero
Agentero — Agent friendly research workbench
Agentero is an agent-native, local-first research workbench: bring your own AI agent via ACP (BYOA), with research context kept in a local Vault of plain Markdown files. Migrate from Zotero in one click. Import via DOI/arXiv, RSS, or browser extension. Read with split-screen PDF + Agent: highlight, translate, annotate, ask questions with full document context. Obsidian-style [[wikilinks]], BibTeX export, built-in CLI & MCP for tools like ChatGPT. Free, open source (MIT).
Hey Product Hunt! We're the makers of Agentero — a local-first research workbench built for the agent era.
The problem we kept hitting: research context is fragmented. PDFs and highlights live in Zotero, notes in Obsidian, and your discussions with AI stay trapped in chat windows. None of them talk to each other, so even the smartest agent only ever sees fragments. And as models get smarter and more alike, what sets output apart is context — your context.
So we built Agentero around one idea: keep your whole research context in a local Vault of plain Markdown files, and let any agent you choose work with it.
What you can do today:
- Bring your own agent via ACP — no lock-in to any model or vendor — to summarize, question, and translate with full document context
- Migrate from Zotero in one click, keeping tags, notes, and attachments
- Import papers from DOI/arXiv, RSS feeds, or the Zotero browser extension
- Read split-screen: PDF on the left, agent on the right, with highlights, annotations, and translation
- Write notes with Obsidian-style [[wikilinks]] and export BibTeX/BibLaTeX for LaTeX
- Plug external tools like ChatGPT straight into your library via the built-in CLI and MCP
Agentero is free and open source (MIT) on macOS, Windows, and Linux.
We'd love your feedback: what would you want your agent to do with your paper library?
About Agentero on Product Hunt
“Agentero — Agent friendly research workbench”
Agentero was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #155 on the daily leaderboard. Agentero is an agent-native, local-first research workbench: bring your own AI agent via ACP (BYOA), with research context kept in a local Vault of plain Markdown files. Migrate from Zotero in one click. Import via DOI/arXiv, RSS, or browser extension. Read with split-screen PDF + Agent: highlight, translate, annotate, ask questions with full document context. Obsidian-style [[wikilinks]], BibTeX export, built-in CLI & MCP for tools like ChatGPT. Free, open source (MIT).
On the analytics side, Agentero competes within Education, Artificial Intelligence and GitHub — topics that collectively have 598.6k followers on Product Hunt. The dashboard above tracks how Agentero performed against the three products that launched closest to it on the same day.
Who hunted Agentero?
Agentero was hunted by PhilFan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Agentero including community comment highlights and product details, visit the product overview.
PhilFan