Agent Commons

Enables AI agents to run reproducible, high-recall literature search across seven source families with RRF fusion, fetch open-access full texts (falling back to abstracts), expand citations, export BibTeX/RIS, and audit reference coverage — all without any LLM API key, leaving query planning and writing to the agent. Multiple agent clients share one accumulating literature pool and background search jobs that keep running after sessions close.

Fabrication-free, DOI-backed citations for AI content and agents, using openAlex public-domain data with resolvable DOIs. Includes an API and planned MCP server for agent-native citation retrieval.

Enables researchers and AI assistants to verify bibliographic existence and metadata consistency, resolve DOI, PMID, PMCID, and arXiv identifiers, and perform explainable multi-source matching without destructive edits.

Enables AI agents to analyze and link citations across multiple research sources, building cross-citation graphs and resolving consensus from conflicting findings. It exposes this capability as a deterministic, zero-dependency MCP server that plugs into Claude Desktop, Cursor, and other MCP-compliant clients.