Use stato to persist, validate, and restore an AI agent's cognitive state (memory, plan, context, skills) as typed Python modules in a .stato/ directory. Load this when working in a project with a .stato/ folder: to restore prior context (stato resume), capture what you learn (crystallize / edit modules), validate…
Retrieve full text of bioRxiv/medRxiv/arXiv preprints as structured sections to ground scientific reasoning and deep research, search/discover preprints, and build embedding-ready corpora (Europe PMC + openRxiv S3 + arXiv LaTeXML), via CLI and MCP.
Retrieve full text of bioRxiv/medRxiv/arXiv preprints as structured sections to ground scientific reasoning and deep research (methods/results, not just abstracts), or build embedding-ready corpora. Use when a task needs a preprint's full text or sections from a DOI/arXiv id/URL; to verify a claim against a paper's…
AGENTS.md instructions for genecell/preprint-fulltext, covering preprint-fulltext, when to use, why full text (for grounded reasoning), cli and python.
Retrieve full text of bioRxiv/medRxiv/arXiv preprints as structured sections to ground scientific reasoning and deep research (methods/results, not just abstracts), or build embedding-ready corpora. Use when a task needs a preprint's full text or sections from a DOI/arXiv id/URL; to verify a claim against a paper's…
CLI + MCP toolkit that retrieves full text of bioRxiv/medRxiv/arXiv preprints as structured sections — grounding LLM/agent scientific reasoning and deep research — and builds embedding-ready corpora. Runs locally from the preprint-fulltext Python package. Needs 2 environment variables to run.
Local stdio MCP server for the PIASO single-cell omics ecosystem — serves knowledge and public data (PIASOmarkerDB via the live piaso.org API), never compute or user data. Runs locally from the piaso-mcp Python package.