Desktop orchestration platform for AI-powered bioinformatics computation
OmniBioAI Studio is an Electron desktop app that launches and manages the full OmniBioAI stack — locally, on HPC clusters, or in the cloud — with a single click.
- License key system — 30-day trial keys (OMNI-XXXX-XXXX-XXXX-XXXX format)
- Sentry error tracking — automatic error reporting across all services
- Bug report button — 🐛 in-app bug reporting via Studio UI
- Cython IP protection — core business logic compiled to .so binaries
- MySQL-backed license server — license validation with MySQL persistence
- DEV_MODE flag — replaces BETA_MODE for cleaner build configuration
- 500+ bioinformatics tools — 350 HTTP API tools + 144 Slurm execution tools
- Windows installer — NSIS .exe installer added alongside DMG and AppImage
- Zero-trust security control plane — JWT authentication + RBAC/ABAC policy enforcement on every request
- API Gateway — single enforced entry point for all service traffic
- HPC Policy Engine — per-user GPU/CPU quota governance
- Security Audit Service — async audit logging via Redis Streams (user, action, decision, latency, trace ID)
- Redis token caching — validated tokens cached (TTL=300s) with pub/sub invalidation on logout
- Internal service header propagation (
X-Internal-Service,X-Trace-Id,X-User-Id) across all TES calls - Fail-closed on auth/policy/HPC failure; fail-open on audit (never blocks requests)
- RAG V6 FAISS index — persistent vector store with recursive document indexing for large literature corpora
- Full local stack launch with containerized services
- Live service health monitoring (Control Center)
- Docker image dashboard (platform + plugin images)
- Dev Hub with knowledge graph + RAG UI
- SDK Launcher for OmniBioAI Python SDK
- Mode-aware startup: Local / HPC / Cloud / Hybrid
- LLM configuration: Ollama (local) + Claude API + OpenAI
- Cloud execution: AWS Batch / Azure Batch / GCP Batch / Kubernetes
- HPC execution: Slurm / PBS / LSF via TES
| Platform | File | Requirements |
|---|---|---|
| macOS (M1/M2/M3/M4) | OmniBioAI-Studio-arm64.dmg | macOS 12+ |
| macOS (Intel) | OmniBioAI-Studio-x64.dmg | macOS 12+ |
| Linux | OmniBioAI-Studio.AppImage | Ubuntu 20.04+ |
| Windows | OmniBioAI-Studio-Setup.exe | Windows 10/11 |
Download from: https://github.com/man4ish/omnibioai-studio/releases/latest
All requests are enforced through a zero-trust pipeline:
Internet / Client
↓
api-gateway :8080 ← single entry point, JWT enforcement
↓
auth-service :8001 ← JWT validation + Redis cache (TTL=300s)
↓
policy-engine :8002 ← RBAC/ABAC authorization decision
↓
hpc-policy-engine :8003 ← GPU/CPU quota check (compute requests only)
↓
target service (workbench / tes / toolserver / rag)
↓
security-audit :8004 ← async audit log → Redis Streams (never blocks)
Failure policy:
| Layer | On failure |
|---|---|
| Auth | FAIL CLOSED → HTTP 401 |
| Policy | FAIL CLOSED → HTTP 403 |
| HPC quota | FAIL CLOSED → HTTP 403 |
| Audit | FAIL OPEN → ignored |
| Service | Port | Description |
|---|---|---|
| API Gateway | :8080 | Zero-trust entry point — auth + policy + HPC enforcement |
| Auth Service | :8001 | JWT issuance, validation, refresh, logout |
| Policy Engine | :8002 | RBAC/ABAC authorization decisions |
| HPC Policy Engine | :8003 | GPU/CPU quota governance per user/team |
| Security Audit | :8004 | Async audit logging via Redis Streams |
| Workbench | :8000 | Main bioinformatics platform (Django) |
| TES | :8081 | Task Execution Service (Slurm / AWS / Azure / GCP / K8s) |
| ToolServer | :9090 | FastAPI bioinformatics tool server |
| Model Registry | :8095 | ML model versioning and serving |
| LIMS | :7000 | Lab Information Management System |
| Control Center | :7070 | Service health + Docker image dashboard |
| RAG | :8090 (ext) / :8096 (int) | PubMed literature AI + DeepSeek RAG (V6 FAISS, persistent vector store) |
| Dev Hub | :5173 / :8082 | Knowledge graph + embeddings UI |
| Workflow Bundles | :8098 | WDL/Nextflow/Snakemake/CWL workflow bundle server |
| Tool Images | :8097 | Bioinformatics tool image registry |
| Videos | :8086 | Tutorial and demo video server |
| SDK Launcher | :5190 | OmniBioAI Python SDK UI |
| Ollama | :11434 | Local LLM inference |
| OPA | :8181 | Open Policy Agent (policy rules backend) |
| Image | Description |
|---|---|
omnibioai-plugin-scanpy |
Single-cell RNA-Seq analysis |
omnibioai-plugin-fastq-qc |
FASTQ quality control (FastQC + MultiQC) |
omnibioai-plugin-fastq-trimmer |
Read trimming (Trimmomatic) |
omnibioai-plugin-rnaseq-analysis |
Bulk RNA-Seq (DESeq2/edgeR) |
omnibioai-plugin-workflow-runner |
WDL/Nextflow/Snakemake/CWL execution |
omnibioai-plugin-variant-annotation |
Variant annotation (SnpEff/ANNOVAR) |
omnibioai-plugin-marker-identification |
Marker gene identification |
omnibioai-plugin-phenotype-association |
GWAS + phenotype association |
Direct REST API integrations — no compute needed:
- Genomics: Ensembl, NCBI, ClinVar, gnomAD, dbSNP
- Proteins: UniProt, AlphaFold, PDB, InterPro
- Pathways: KEGG, Reactome, WikiPathways, GO
- Literature: PubMed, Europe PMC, Semantic Scholar
- Drugs: ChEMBL, DrugBank, PharmGKB, OpenFDA
- Single Cell: CellxGene, HCA, Broad SCP
- Metabolomics: HMDB, LipidMaps, MetaboAnalyst
- And 280+ more across all omics domains
Compute-heavy tools executed on HPC/cloud:
- Alignment: BWA, STAR, HISAT2, Minimap2
- Variant Calling: GATK, DeepVariant, Clair3, Mutect2
- RNA-seq: DESeq2, edgeR, Salmon, Kallisto
- Single Cell: Seurat, Scanpy, Cell Ranger
- ML/AI: PyTorch, TensorFlow, ESM2, AlphaFold2
- Proteomics: MSFragger, MaxQuant, DIA-NN
- And 90+ more
Home · OnboardAI · Omni Assistant · Job Monitor · Plugin Manager · Admin
Workflow Runner · Workflow Builder · Agent Studio · Pipeline Dashboard · Multi-Agent Bio Orchestrator · Workflow Compiler
RNA-Seq · Single Cell (scRNA-Seq) · Exome Analysis · FASTQ QC · Proteomics · Metabolomics
Drug Target AI · Literature AI · Pathway Enrichment · Bio Hypothesis AI · Bio Narrator AI
Getting Started · Tutorials · Demo Workflows · Example Pipelines · Developer Hub · Videos
| Requirement | Minimum | Recommended |
|---|---|---|
| RAM | 16GB | 32GB |
| Disk | 50GB free | 100GB free |
| Docker | Engine 24+ | Docker Desktop |
| OS | Ubuntu 20.04+ | Ubuntu 22.04+ |
| GPU | — | NVIDIA + nvidia-container-toolkit |
Also required:
jq—sudo apt install jqorbrew install jq- Docker Compose v2 — included with Docker Engine 24+
git clone https://github.com/man4ish/omnibioai-studio
cd omnibioai-studio
cp .env.example .env
# Edit .env — fill in your paths and secrets
docker compose up -dThen register your first user and get a token:
# Register
curl -X POST http://localhost:8001/auth/register \
-H "Content-Type: application/json" \
-d '{"email":"admin@example.com","password":"yourpassword","full_name":"Admin"}'
# Login — returns JWT token
curl -X POST http://localhost:8001/auth/login \
-H "Content-Type: application/json" \
-d '{"email":"admin@example.com","password":"yourpassword"}'
# Use token through gateway
curl -H "Authorization: Bearer <token>" http://localhost:8080/api/toolschmod +x "OmniBioAI-Studio.AppImage"
./"OmniBioAI-Studio.AppImage"- Enter your license key when prompted
- Select execution mode (Local recommended for first run)
- Set Data Directory and Work Directory in Settings
- Click Boot System on the Launch page
- Open Workbench at http://localhost:8000
npm install
npm run dev # development mode
npm run build # build AppImage (Linux)
npm run build:mac # build DMG (macOS)
npm run build:win # build EXE (Windows)OmniBioAI Studio requires a license key for first launch.
Contact: mandecent.gupta@gmail.com for beta access
OMNI-XXXX-XXXX-XXXX-XXXX (30-day trial)
- Download installer (DMG / AppImage / EXE)
- Launch OmniBioAI Studio
- Enter license key when prompted
- App validates key against license server
- Platform pulls images from ghcr.io automatically
- Studio launches — ready to use!
License is cached locally for 7 days offline use.
Copy .env.example to .env and fill in:
# Database
MYSQL_ROOT_PASSWORD=your-db-password
MYSQL_DEFAULT_DB=omnibioai
# Auth (change in production)
AUTH_SECRET_KEY=your-secret-key-here
# Network
HOST_IP=0.0.0.0
# Paths (absolute paths on host)
DB_INIT_DIR=/path/to/omnibioai-studio/db-init
WORKSPACE_HOST=/path/to/workspace
WORK_DIR=/path/to/work
DATA_DIR=/path/to/data
VIDEO_DIR=/path/to/videos
# AI API Keys (optional)
ANTHROPIC_API_KEY=
OPENAI_API_KEY=
# Build
DEV_MODE=false
# Error reporting (set empty to disable)
SENTRY_DSN=Private service images require authentication. Beta users receive a GitHub token automatically with their license key.
Manual setup:
export GITHUB_TOKEN=your_github_personal_access_token
export GITHUB_USER=your_github_username
echo $GITHUB_TOKEN | docker login ghcr.io -u $GITHUB_USER --password-stdinToken needs read:packages scope.
Public images (no auth needed):
omnibioai-base(3.4GB — heavy dependencies, pull once)omnibioai-dev-envomnibioai-tool-runtime- All
omnibioai-plugin-*images (122 plugins)
Private images (token required):
omnibioai-app(~170MB — app code only, fast updates)- All core service images
OmniBioAI Studio includes built-in error reporting via Sentry.
- Click the 🐛 Report Bug button in the Studio UI
- Fill in title, description and severity
- Report sent automatically to our dashboard
- We'll respond within 24 hours during beta
To disable: set SENTRY_DSN= (empty) in .env
- CPU/GPU execution via Docker
- NVIDIA GPU support with nvidia-container-toolkit
- Slurm — cluster job submission via TES
- PBS / LSF — alternative schedulers
- Apptainer/Singularity — container runtime for HPC
- SSH-based remote execution
- AWS Batch — S3 input/output, IAM profiles
- Azure Batch — Blob storage, managed identity
- GCP Batch — Cloud Storage, service accounts
- Kubernetes — any K8s cluster via kubeconfig
- Ollama — local inference (Llama, DeepSeek, Mistral, etc.)
- Claude API — Anthropic cloud API
- OpenAI — GPT-4 and compatible APIs
┌─────────────────────────────────────────┐
│ OmniBioAI Studio │
│ Electron + React (Wizard UI) │
└──────────────┬──────────────────────────┘
│ IPC
▼
┌─────────────────────────────────────────┐
│ Electron Main Process │
│ - Config manager (JSON) │
│ - Docker Compose lifecycle │
│ - Health check polling │
│ - Log streaming │
└──────────────┬──────────────────────────┘
│ docker compose
▼
┌─────────────────────────────────────────┐
│ Security Control Plane │
│ API Gateway · Auth · Policy Engine │
│ HPC Policy · Security Audit · Redis │
└──────────────┬──────────────────────────┘
│ verified requests only
▼
┌─────────────────────────────────────────┐
│ Docker Compose Runtime │
│ Workbench · TES · ToolServer │
│ Model Registry · LIMS · RAG │
│ Control Center · Dev Hub · SDK │
└──────────────┬──────────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│ Execution Backends │
│ Local GPU/CPU · Slurm/PBS/LSF │
│ AWS Batch · Azure Batch · GCP │
│ Kubernetes · Ollama · Claude API │
└─────────────────────────────────────────┘
Studio stores config at:
- Linux:
~/.config/omnibioai/omnibioai.config.json - macOS:
~/Library/Application Support/omnibioai-studio/omnibioai.config.json
Key settings:
{
"mode": "local",
"settings": {
"data_dir": "/path/to/omnibioai/data",
"work_dir": "/path/to/omnibioai/work"
},
"llm": {
"enable_ollama": true,
"enable_claude": false,
"claude_api_key": "",
"enable_openai": false
},
"cloud": {
"enable_aws_batch": false,
"enable_gcp_batch": false,
"gcp_project": "",
"gcp_region": ""
},
"hpc": {
"enabled": false,
"scheduler": "slurm",
"hostname": "hpc.university.edu",
"username": "",
"private_key": "~/.ssh/id_rsa"
}
}OmniBioAI Studio is the desktop control layer for:
| Repository | Role |
|---|---|
omnibioai |
Main Django workbench + 80+ plugins |
omnibioai-api-gateway |
Zero-trust API gateway |
omnibioai-auth |
JWT authentication service |
omnibioai-policy-engine |
RBAC/ABAC authorization |
omnibioai-hpc-policy-engine |
GPU/CPU quota governance |
omnibioai-security-audit |
Async audit logging |
omnibioai-iam-client |
Python SDK for auth integration |
omnibioai-tes |
Task Execution Service |
omnibioai-toolserver |
FastAPI tool API |
omnibioai-lims |
Lab data management |
omnibioai-model-registry |
ML model versioning |
omnibioai-control-center |
Health + image dashboard |
omnibioai-rag |
PubMed RAG pipeline |
omnibioai-dev-hub |
Knowledge graph + embeddings |
omnibioai-workflow-bundles |
WDL/Nextflow/Snakemake bundles |
omnibioai-tool-images |
80+ bioinformatics tool containers |
omnibioai_sdk |
Python SDK + React launcher |
omnibioai-dev-docker |
DGX/GPU development environment |
omnibioai-security-sdk |
Security SDK for service auth integration |
omnibioai-design-tokens |
Shared design tokens and theme system |
omnibioai-ui |
Shared UI component library |
omnibioai-landing |
Public-facing landing page |
v0.2.0-beta — Current Release ✅
- License key system (OMNI-XXXX-XXXX-XXXX-XXXX, 30-day trial)
- Sentry error tracking + in-app bug report button
- Cython IP protection (.so compiled binaries)
- MySQL-backed license server
- DEV_MODE flag (replaces BETA_MODE)
- 500+ bioinformatics tools (350 HTTP API + 144 Slurm)
- Windows NSIS .exe installer
- Zero-trust JWT authentication on every request
- RBAC/ABAC policy engine
- HPC quota governance
- Async audit logging via Redis Streams
- Redis token caching with pub/sub invalidation
- Internal service header propagation
v0.3 — Beta Launch (July 4th 2026 target)
- DMG + AppImage + EXE installers via GitHub Actions
- Auto-updater for all platforms
- Cloudflare-integrated beta signup with automatic license delivery
- Public beta announcement
v0.4 — Cloud & HPC
- AWS/Azure/GCP job submission UI
- Cost estimation per workflow
- Multi-tenant workspace isolation
v0.5 — Enterprise
- SSO / SAML integration
- Role management UI
- HIPAA compliance reporting from audit logs
- Cost attribution per user/team
ARM machines (Apple Silicon, AWS Graviton):
Some service images were built for linux/amd64. They run via emulation on ARM with a warning:
The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8)
This is expected and harmless for development. For production ARM deployments, rebuild affected images with --platform linux/arm64.
- System MySQL/Redis must be stopped before starting:
sudo systemctl stop mysql redis-server GITHUB_TOKENmust be set manually for private image pull- macOS DMG not yet code-signed (GateKeeper warning expected)
- Windows installer not yet code-signed
- Kubernetes health check requires
~/.kube/config - policy-engine and hpc-policy-engine do not expose a
/healthendpoint (returns 404, services are running) - License server requires MySQL (included in docker-compose)
- First launch requires internet connection for license validation
- 7-day offline grace period after initial validation
- Bug reports sent to Sentry (can be disabled via SENTRY_DSN= in .env)
Apache 2.0 — see LICENSE
Manish Kumar — GitHub
OmniBioAI Studio is not a bioinformatics tool — it is a desktop orchestration system for distributed, secure, AI-native scientific computation.