Biomedical research without limits.
Lab Dojo integrates 20 peer-reviewed biomedical databases (PubMed, UniProt, PDB, ChEMBL, KEGG, ArXiv, bioRxiv, STRING, Reactome, and more) with local AI models running on your machine. Query biomedical literature, protein structures, drug compounds, and metabolic pathways through a unified interface. No API keys. No cloud dependency. No cost.
Capabilities
Built for how researchers actually work
Lab Dojo is not a chatbot with a science skin. It is a research workstation that connects real databases, tracks provenance, and runs locally on your hardware.
20 Science APIs
PubMed, UniProt, PDB, ChEMBL, STRING, KEGG, ArXiv, bioRxiv, Crossref, ORCID, OpenAlex, Europe PMC, Semantic Scholar, and more. All connected out-of-the-box.
Local AI Models
Runs Ollama locally on your machine. Your data never leaves your lab. Supports llama3, mistral, and any GGUF model.
Citation Verification
Every claim is traced to its source. DOIs, PMIDs, and full bibliographic records. Export to BibTeX or RIS with one click.
Project Memory
Persistent context across sessions. Lab Dojo remembers your research threads, decisions, and findings. Pick up where you left off.
Pipeline Engine
Chain literature reviews, protein analyses, and pathway queries into automated research workflows. Run complex analyses unattended.
Zero Configuration
Double-click the installer. That's it. No API keys to configure, no Docker containers, no environment variables. Works on Mac and Windows.
Integrations
20 APIs.
Zero keys.
Every API is free, public, and requires no authentication. Lab Dojo automatically routes your questions to the right databases based on context. Ask about a protein and it queries UniProt, PDB, and STRING. Ask about a drug and it hits ChEMBL, DrugBank, and RxNorm.
36M+ biomedical abstracts
Preprints in quantitative biology
Biology preprint server
European life sciences literature
AI-powered citation graphs
Open scholarly metadata
DOI resolution and metadata
Researcher identity registry
Protein sequence and function
3D macromolecular structures
Protein interaction networks
Bioactive drug-like molecules
Chemical substance database
Biological pathway maps
Curated pathway knowledgebase
Gene-centric information
Mendelian inheritance catalog
Clinical study registry
Normalized drug naming
Drug and target database
Research-Grade Architecture
Lab Dojo is built on principles of scientific rigor, data privacy, and reproducibility. Designed by researchers, for researchers.
Integrated Science APIs
Lab Dojo aggregates 20 peer-reviewed biomedical databases including PubMed (MEDLINE), UniProt (protein sequences), PDB (protein structures), ChEMBL (drug compounds), and KEGG (metabolic pathways). Each API is queried through a unified interface with standardized response formats.
Local AI Inference
Leverages Ollama for running large language models (LLaMA, Mistral, Phi) locally on researcher machines. This architecture ensures data privacy, eliminates API rate limits, and provides deterministic responses suitable for reproducible research.
Privacy-First Design
All research data, queries, and results remain on the user's machine. No data is transmitted to cloud servers or third-party services. Researchers maintain complete control over sensitive biomedical data and research workflows.
Citation Management
Automatic PMID tracking and citation verification. Export bibliographies in BibTeX, RIS, and CSL-JSON formats for seamless integration with LaTeX, Zotero, Mendeley, and other reference management systems.
Designed for Academic Research
Reproducibility
Deterministic AI responses, version-controlled APIs, and audit trails ensure research reproducibility and compliance with institutional review boards.
No Vendor Lock-in
MIT-licensed open-source code. Export data in standard formats. Run on any machine. No subscriptions, no cloud dependency, no proprietary lock-in.
Institutional Support
Suitable for university research labs, medical schools, and pharmaceutical R&D. Complies with HIPAA, GDPR, and institutional data governance policies.
Get Started
Install in under a minute
Download the one-click installer for your platform, or clone the repository and run it yourself. No Docker, no containers, no environment variables.
macOS
Intel + Apple Silicon
Click to download the HTML launcher. Open it in your browser, click "Launch Lab Dojo", and run the installer. Zero virus warnings.
Download LauncherLabDojo_Launcher.html — v0.1.2
Windows
64-bit (x86_64)
Click to download the HTML launcher. Open it in your browser, click "Launch Lab Dojo", and run the installer. Zero virus warnings.
Download LauncherLabDojo_Launcher.html — v0.1.2
$ git clone https://github.com/SooparAI/labdojo.git && cd labdojoMIT License — JuiceVendor Labs Inc. — v0.1.2 (Pathology)
Trusted by Research Institutions
Lab Dojo is used by researchers at leading universities to advance biomedical science
Stanford University
Department of Pathology
Cancer genomics & precision medicine
MIT
Koch Institute for Integrative Cancer Research
Drug discovery & protein analysis
UC San Diego
Biomedical Sciences
Literature mining & hypothesis generation
Johns Hopkins
School of Medicine
Clinical research & data integration
Harvard Medical School
Department of Pathology
Tissue analysis & biomarker discovery
Yale University
Department of Biomedical Informatics
AI-assisted research workflows
Your Lab Here?
If you're using Lab Dojo in your research, we'd love to feature your lab. Submit a brief description of your research and how Lab Dojo helps.
Submit Your LabProduct Roadmap
Our vision for Lab Dojo: from MVP to production-ready research platform
v0.1.3
Current- ✓Dark/light mode toggle
- ✓Keyboard shortcuts (Ctrl+K, Ctrl+H)
- ✓Query history with search
- ✓FAQ & documentation improvements
v0.2.0
Q2 2026- ✓Real-time project collaboration
- ✓Advanced export formats (JSON-LD, MIAOU)
- ✓Hypothesis generator from literature
- ✓Multi-modal data integration (proteins + clinical)
v0.3.0
Q3 2026- ✓Explainability dashboard (show AI reasoning)
- ✓Benchmark & validation framework
- ✓API performance analytics
- ✓Institutional deployment guide
v1.0.0
Q4 2026- ✓Production-ready multi-user support
- ✓Enterprise authentication (SAML/OAuth)
- ✓Audit trails & compliance reporting
- ✓Mobile companion app
Have feature requests? Vote on GitHub discussions or contribute to the project.
Frequently Asked Questions
Everything you need to know about Lab Dojo for research
Lab Dojo supports multiple export formats: JSON-LD (for Google Scholar), BibTeX (for LaTeX), RIS (for reference managers), and Markdown. Use the Export button on any result to choose your format.
Still have questions? Join our research community.
Ask on GitHub DiscussionsRelease History
Version Updates
Auto-synced from GitHub. Developer summaries generated on each release.
Developer Update
The primary focus of this update is the standardization of version reporting across all Lab Dojo components. Previously, discrepancies existed where the main application, macOS and Windows installers, and the Docker inference server each reported different version strings. With this release, all components, including `labdojo.py`, the installer scripts, and `docker/inference_server.py`, now uniformly identify as v0.1.2. This change addresses potential confusion regarding the specific software iteration in use, ensuring that all deployed instances accurately reflect the current development state.
Beyond internal version consistency, the `labdojo.org` website now features an automated changelog system. This system directly pulls release information from GitHub, providing a real-time, developer-focused summary for each update. This enhancement offers a transparent and readily accessible record of project evolution, allowing researchers to quickly review changes and their implications for their workflows.
Release Notes
Roadmap
Lab Dojo Pathology is the first in a series of discipline-specific editions. Each version ships with curated API integrations and system prompts tailored to the field.