Donate spare GPU cycles to run computational biology research tasks. Every completed task advances open cancer, rare disease, and drug discovery research.
| Skill | Available | In Progress | Completed | Failed |
|---|---|---|---|---|
| Loading task breakdown… | ||||
When a result exceeds confidence thresholds, follow-up tasks are auto-spawned in a chain (e.g. neoantigen → structure → docking → QSAR).
| # | Contributor | Results Published | Tasks Completed | Skills | Latest |
|---|---|---|---|---|---|
| Loading leaderboard… | |||||
git clone https://github.com/OpenCureLabs/OpenCureLabs.git cd OpenCureLabs bash scripts/setup.sh --skip-models source .venv/bin/activate pip install -e packages/agentiq_labclaw
# Add to .env: VAST_AI_KEY=your-vast-ai-key # For GPU burst compute XAI_API_KEY=your-xai-key # Optional: enables local Grok review
# Claim tasks from central queue and execute on Vast.ai GPU
python -m agentiq_labclaw.compute.batch_dispatcher \
--mode contribute --count 10 --max-cost 1.00
# First run auto-generates your Ed25519 signing key
# and registers you as a contributor.
Your machine claims research tasks from the central queue, dispatches them to a Vast.ai GPU, and reports results back — signed with your Ed25519 key. Results go through Grok's two-tier scientific review before publication. You can contribute to any skill: neoantigen prediction, protein structure, molecular docking, QSAR modeling, or variant analysis.