OpenCure Labs

OpenCure Labs

GitHub

Contribute to OpenCure Labs

Donate spare GPU cycles to run computational biology research tasks. Every completed task advances open cancer, rare-disease, and drug-discovery research.

Why Contribute?

🧬

25,000+ Published Artifacts

Your GPU time generates signed, peer-reviewable computational biology results shared openly with the research community.

🔬

Two-Tier Grok Review

Every result passes independent scientific critique — automated validation plus Grok-powered methodology review — before publication.

🔐

Ed25519 Signed Results

All artifacts carry cryptographic integrity signatures with full provenance metadata for auditable, verifiable science.

Getting Started

1. Clone & Install

git clone https://github.com/OpenCureLabs/OpenCureLabs.git
cd OpenCureLabs
bash scripts/setup.sh
source .venv/bin/activate

2. Configure API Keys

# Add to .env:
GEMINI_API_KEY=your-gemini-key     # Coordinator LLM
XAI_API_KEY=your-xai-key           # Grok reviewer
VAST_AI_KEY=your-vast-ai-key       # GPU burst compute

3. Launch the Lab

# Run the full autonomous research loop locally:
bash dashboard/lab.sh

# This starts:
#   - Task dispatcher (claims & executes research tasks)
#   - Grok reviewer (two-tier scientific critique)
#   - Result ingest (publishes signed artifacts)

4. Monitor Progress

# Live dashboard:
python dashboard/dashboard.py

# Check findings:
python dashboard/findings.py

1. Clone & Install

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

2. Set API Keys

# 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

3. Run in Contribute Mode

# Claim tasks from the 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.

How It Works

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.

Task Queue — Live Stats

Available
In Progress
Completed
Failed
Total Tasks
Derived from Results
From Discoveries

Tasks by Skill

SkillAvailableIn ProgressCompletedFailed
Loading task breakdown…

Active Pipeline Chains

When a result exceeds confidence thresholds, follow-up tasks are auto-spawned in a chain (e.g. neoantigen → structure → docking → QSAR).

Loading pipeline chains…

Contributor Leaderboard

#ContributorResults PublishedTasks CompletedSkillsLatest
Loading leaderboard…