Open literature only
Workers process public/open scientific literature — never private medical records or personal files.
AI-assisted open science
Turn spare compute into review-ready open-science evidence.
OpenCause Compute coordinates volunteer computers to process open biomedical literature into structured, citation-backed evidence for researcher review — starting with Cancer Knowledge Miner.
Transparent local worker
Volunteers can see status, pause work, check model readiness, and review recent packet activity from the desktop app.
Volunteer-controlled
Pause anytime, inspect activity, tune resource limits, and decide when your computer contributes.
Citation-backed
Each useful extraction keeps source text, citation, provenance, and validation status attached.
Research-support outputs
Metrics show processing, validation, and review progress — not cures, clinical claims, or accepted findings.
Why local AI?
Volunteer compute matters
The worker contributes local processing capacity to open-science infrastructure instead of relying only on central servers.
No third-party model API by default
Open literature packets are processed by the desktop app with an approved local model.
You choose the limits
Model quality, idle behavior, CPU limits, battery policy, and pause controls stay visible in the app.
Current research track
Cancer Knowledge Miner
Cancer Knowledge Miner converts open oncology and biomedical literature into citation-backed evidence candidates for comparison, consensus, and review.
Limited beta status
Early volunteers, conservative safeguards
OpenCause Compute is available as an early-access Windows worker while installer signing, compatibility testing, and additional review workflows continue. Volunteers should expect beta software and verify downloads before installing.