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.
- 🔐 Unified license key system (
OMNI-XXXX-XXXX-XXXX-XXXX) — one key works for web + desktop, auto-creates user on first validation, same JWT as OAuth login - 🌐 webstudio.omnibioai.org fully working — license key login enforced, all workbench pages loading correctly, service worker fixed, nginx routes fixed (
/license/,/roles/), Control Center JWT cookie fallback - 👥 Team expansion — Dr. Rajnish Kumar (Scientific Consultant, SR University), Praveen C.V. Raghavulu (Scientific Advisor, KUMC); About page restructured as company team page
- 🛠 12,110 bioinformatics tools (up from 11,577) — 100+ new HTTP API tools added, all tools validated (100% clean), 0 duplicates, 0 ToolSpec errors
- 🤖 Tool selection AI improved — GPU enabled for Ollama (57x faster: 120s → 2.1s), accuracy 0% → 60%, Recall@K 60% → 85%
- 📦 1,000 ARM64 SIF images
- 🔧 Control Center web service added
- 💰 Billing service integrated
- 🛡️ Admin Console live at admin.omnibioai.org
- 🌐 Web version at webstudio.omnibioai.org — no installation required
- 🔐 SSO & OAuth2 — Google, GitHub, and Microsoft sign-in
- 🛡️ Cloudflare Access — secure invite-only email whitelist
- 🧬 12,000+ bioinformatics tools across HTTP APIs, ARM64, x86, and Kubernetes
- 📦 1,120+ container images (320 Docker + 800 ARM64 SIF) hosted on GHCR and Hugging Face
- 🔌 225+ bioinformatics & AI plugins covering scRNA-seq, WGS, WES, proteomics, spatial, and more
- ⚙️ 600+ workflow bundles for Nextflow, WDL, CWL, and Snakemake
- 🤖 36M PubMed abstracts indexed with a 150-domain RAG pipeline (PubMedBERT, FAISS, BM25, RRF, Neo4j)
- 🤗 One-click Hugging Face Push from the Model Registry
- 📊 Live platform metrics dashboard with architecture, service health, and coverage
- Version unification — all UI components, sidebar, badge, logs, and settings now consistently report
v0.4.0-beta - 23 services fully operational — all layers (Data, Security Control Plane, Execution, AI, Developer) green
- 1,010 registered tools — confirmed live in Jobs → Registered Tools panel (platform-wide tooling, including HPC/cloud/orchestration integrations, totals 11,000+ — see Bioinformatics Tools section below)
- 7 execution servers —
local_real,slurm_local,aws_batch_prod,aws_batch_demo,azure_batch_demo,gcp_batch_demo,enrichment_remote - claude-sonnet-4-20250514 as default orchestrator model in LLM configuration
- IDE Services all RUNNING — JupyterLab (:8888), RStudio (:8787), VS Code Server (:8883)
- Beta Cloud mode — connects to
webstudio.omnibioai.org; MySQL, Workbench, TES, Ollama tunnels all reachable - Report Bug modal — title, description, email, severity (Low / Medium / High / Critical) with Submit Bug Report
- IDE Services — JupyterLab, RStudio, and VS Code Server managed directly from Studio UI
- IDE Layer — dedicated section on Services page with per-container lifecycle management
- Launcher backend — Express API using Docker socket for IDE container control; ARM64-compatible
- Unified Grafana metrics dashboard embedded in Studio
- Full observability stack: cAdvisor + redis-exporter + django-prometheus
- OmniBioAI dark theme on Grafana and Prometheus
- Auto-generated secrets on first launch via
crypto.randomBytes - Grafana service account token auth (anonymous access disabled)
- Zero npm vulnerabilities (Electron 28→41, vite 5→8, all CVEs resolved)
- DMG + AppImage + EXE installers via GitHub Actions
- Public beta announcement + Cloudflare-integrated beta signup
- 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
- 1010+ bioinformatics tools (510 HTTP API + 500 Slurm)
- Windows NSIS .exe installer
- Zero-trust JWT authentication, RBAC/ABAC policy engine
- HPC quota governance + async audit logging via Redis Streams
- Full local stack launch with containerized services
- Live service health monitoring
- Docker image dashboard
- Dev Hub with knowledge graph + RAG UI
- Mode-aware startup: Local / HPC / Cloud / Hybrid
- LLM configuration: Ollama + Claude API + OpenAI
- Cloud execution: AWS Batch / Azure Batch / GCP Batch / Kubernetes
- HPC execution: Slurm / PBS / LSF via TES
Beta Cloud selected — MySQL, Redis, TES, Workbench UP; Ollama initializing
Quick access to all 44 modules across 6 sections
Local Ollama (deepseek-coder), Claude API, OpenAI/Codex, and runtime orchestration settings
AWS, Azure, GCP, and Kubernetes execution backends with full credential management
Slurm scheduler, SSH connection, GPU jobs, TES remote execution, filesystem & runtime settings
Connected to Beta Cloud — all tunnels reachable, runtime summary visible
23 services across Data, Security Control Plane, Execution, AI, and Developer layers
JupyterLab, RStudio, VS Code Server — all RUNNING, managed via Launcher :5190
Real-time log stream — 7 entries, filterable by service, live streaming
1,010 registered tools · 7 execution servers (local, Slurm, AWS, Azure, GCP, enrichment_remote)
Data directories, service ports, Docker compose file, security, About panel
In-app bug reporting with title, description, email, and severity selector
| Platform | File | Requirements |
|---|---|---|
| macOS Apple Silicon (M1/M2/M3/M4) | OmniBioAI-Studio-arm64.dmg |
macOS 12+ |
| macOS Intel | OmniBioAI-Studio-x64.dmg |
macOS 12+ |
| Linux x86_64 AppImage | OmniBioAI-Studio.AppImage |
Ubuntu 20.04+ |
| Linux x86_64 DEB | OmniBioAI-Studio.deb |
Ubuntu / Debian |
| Linux x86_64 RPM | OmniBioAI-Studio.rpm |
RHEL / Fedora |
| Linux ARM64 AppImage | OmniBioAI-Studio-arm64.AppImage |
aarch64, Ubuntu 20.04+ |
| Linux ARM64 DEB | OmniBioAI-Studio-arm64.deb |
Ubuntu / Debian ARM64 |
| Linux ARM64 RPM | OmniBioAI-Studio-arm64.rpm |
RHEL / Fedora ARM64 |
| Windows | OmniBioAI-Studio-Setup.exe |
Windows 10/11 + WSL2 |
Download from: https://github.com/OmniBioAI/omnibioai-studio/releases/latest
Real-time architecture, codebase metrics, coverage, and service health are publicly viewable at:
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)
| Layer | On failure |
|---|---|
| Auth | FAIL CLOSED → HTTP 401 |
| Policy | FAIL CLOSED → HTTP 403 |
| HPC quota | FAIL CLOSED → HTTP 403 |
| Audit | FAIL OPEN → ignored |
The diagram above is the server-side request pipeline; this section
covers how the Studio SPA itself holds and presents a session in the
browser. Login/refresh/logout all go through the standard
omnibioai-auth endpoints — see
omnibioai-auth's README for the full
token model.
Studio's web build still manages its own session client-side —
localStorage["omnibioai_access_token"] and
localStorage["omnibioai_refresh_token"] — rather than relying on
omnibioai-auth's server-set, HttpOnly omnibioai_session cookie (see
that repo's Session Cookies section).
It additionally mirrors the access token into a non-HttpOnly,
JS-writable cookie of the same name (omnibioai_access_token,
SameSite=Lax, Secure over HTTPS) purely so an embedded iframe can
authenticate — see iframe authentication below.
This is a distinct mechanism from omnibioai-auth's own session cookie:
same-looking pattern, different cookie, different owner (browser JS here,
vs. server-set and HttpOnly there).
omnibioai-control-center's Admin tab, when embedded under Studio's own
origin, reads this same localStorage["omnibioai_access_token"] key —
an existing Studio login is recognized automatically with no separate
sign-in, since both apps share one browser origin in that deployment path.
See Control Center's Authentication section
for the admin-side detail.
Control Center is embedded via <iframe src="/_svc/control"> in the web
build (an Electron <webview> in the desktop build). An iframe's initial
document navigation can't carry a custom Authorization header, so
docker/nginx-router.conf falls back to the mirrored omnibioai_access_token
cookie: it maps the cookie's value into a synthesized
Authorization: Bearer <token> header for the /_svc/control location
and for the shared /internal/auth/verify subrequest, so the iframe's
first request authenticates even though no JavaScript ran inside it yet.
Subsequent same-origin fetch/XHR calls made from inside the iframe
read localStorage directly, same as the parent page. (Grafana is also
embedded via iframe/webview, but authenticates with its own session
cookie, unrelated to this mechanism.)
refresh() (posts to /auth/refresh with the refresh_token read from
localStorage) exists and is exported, but nothing in the current UI
calls it automatically — there is no refresh timer and no fetch
interceptor wired up. The one place that handles a 401 today
(rolesApi.js) clears the session outright rather than attempting a
refresh-and-retry. In practice this means an expired access token
currently forces a fresh login rather than transparently rotating — unlike
omnibioai-control-center's cc-ui, which does schedule a silent refresh
against the cookie-based session (see that repo's README). Wiring an
automatic refresh here, or migrating this app onto the same
omnibioai_session-cookie pattern control-center now uses, is tracked as
follow-up work, not part of this documentation pass.
logout() posts both the stored refresh_token and access_token to
/auth/logout (fails open on a network error), then always clears both
localStorage keys and the mirrored omnibioai_access_token cookie —
regardless of whether the server call itself succeeded.
| Service | Port | Image |
|---|---|---|
| MySQL | :3306 | mysql:8.0 |
| Redis | :6379 (mapped :6380 on host) | redis:7-alpine |
| Service | Port | Image |
|---|---|---|
| API Gateway | :8080 | ghcr.io/omnibioai/omnibioai-api-gateway:latest |
| Auth Service | :8001 | ghcr.io/omnibioai/omnibioai-auth:latest |
| Policy Engine | :8002 | ghcr.io/omnibioai/omnibioai-policy-engine:latest |
| HPC Policy Engine | :8003 | ghcr.io/omnibioai/omnibioai-hpc-policy-engine:latest |
| Security Audit | :8004 | ghcr.io/omnibioai/omnibioai-security-audit:latest |
| Service | Port | Image |
|---|---|---|
| Workbench | :8000 | ghcr.io/omnibioai/omnibioai-app:latest |
| TES | :8081 | omnibioai-tes-local |
| ToolServer | :9090 | ghcr.io/omnibioai/omnibioai-toolserver:latest |
| Model Registry | :8095 | ghcr.io/omnibioai/omnibioai-model-registry:latest |
| LIMS | :7000 | ghcr.io/omnibioai/omnibioai-lims:latest |
| Control Center | :7070 (localhost-only, JWT-gated via nginx /_svc/control) |
ghcr.io/omnibioai/omnibioai-control-center:latest |
| Control Center Web | 127.0.0.1:5174 (frontend dev target, built from omnibioai-control-center's Dockerfile) |
build-only |
| Billing Service | :8005 | build: ../omnibioai-billing (Dockerfile) |
| Billing Worker | — (background consumer, no exposed port) | build: ../omnibioai-billing (Dockerfile.worker) |
| Workflow Bundles | :8098 | ghcr.io/omnibioai/omnibioai-workflow-bundles:latest |
| Tool Images | :8097 | ghcr.io/omnibioai/omnibioai-tool-images:latest |
| Service | Port | Image |
|---|---|---|
| Ollama | :11434 | ollama/ollama |
| RAG | :8090 (external) / :8096 (internal) | ghcr.io/omnibioai/omnibioai-rag:latest |
| Dev Hub | :8082 | ghcr.io/omnibioai/omnibioai-dev-hub:latest |
| Neo4j | :7474 / :7687 | neo4j:5.15 |
| Service | Port | Image |
|---|---|---|
| Launcher | :5190 | ghcr.io/omnibioai/omnibioai-launcher:latest |
| Service | Port | Stack |
|---|---|---|
| JupyterLab | :8888 | Full bioinformatics stack (scanpy, DESeq2, scVelo, cellxgene…) |
| RStudio Server | :8787 | R + Bioconductor (Seurat, DESeq2, scran, monocle3, tidyverse) |
| VS Code Server | :8883 | Python + R + Nextflow + WDL extensions |
| Service | Port | Image |
|---|---|---|
| Grafana | :3000 | grafana/grafana:latest |
| Prometheus | internal only, via /_svc/prometheus |
prom/prometheus:latest |
| cAdvisor | :8585 | gcr.io/cadvisor/cadvisor:latest |
| Redis Exporter | :9121 | oliver006/redis_exporter:latest |
| Node Exporter | host network, no published port | prom/node-exporter:latest |
| License Server | :8099 | internal build |
| OPA (Open Policy Agent) | :8181 | openpolicyagent/opa:latest |
| Videos | :8086 | ghcr.io/omnibioai/omnibioai-videos:latest |
| Web UI | served as static files behind Nginx Router | build: Dockerfile.web (this repo) |
| Nginx Router | :80 | nginx:latest |
1,010 tools are actively registered and runnable today (confirmed live in Jobs → Registered Tools panel). The broader platform catalog — including all execution, cloud, HPC, and orchestration tooling across every service — totals 11,000+.
| Server ID | Adapter |
|---|---|
| local_real | local |
| slurm_local | slurm |
| aws_batch_prod | aws_batch |
| aws_batch_demo | aws_batch |
| azure_batch_demo | azure_batch |
| gcp_batch_demo | gcp_batch |
| enrichment_remote | http_toolserver |
Direct REST integrations — no compute needed: Ensembl, NCBI, ClinVar, gnomAD, UniProt, AlphaFold, KEGG, Reactome, PubMed, ChEMBL, DrugBank, CellxGene, HMDB, and 280+ more.
Compute tools: BWA, STAR, HISAT2, GATK, DeepVariant, DESeq2, Seurat, Scanpy, PyTorch, MSFragger, and 90+ more.
Getting Started · Video Tutorials · Workbench Dashboard · Control Center · LIMS · Model Registry · RAG/Lit AI · TES/Jobs · Tool Images · Launcher · Workflows · Dev Hub · Metrics · Grafana
API Gateway · Auth Service · Policy Engine · HPC Policy · Security Audit · OPA
Home · OnboardAI · OmniBioAgent · Job Monitor · Plugin Manager · Admin
Workflow Runner · Workflow Builder · Agent Studio · Pipeline Dashboard · Multi-Agent Orchestrator · Workflow Compiler
RNA-Seq · Single Cell (scRNA-Seq) · Exome Analysis · FASTQ QC · Proteomics · Metabolomics
Drug Target AI · Literature AI · Pathway Enrichment · Bio Hypothesis · Literature Summarizer · Bio Narrator AI
| Mode | Status | Description |
|---|---|---|
| Beta Cloud | ✅ Available | Connects to webstudio.omnibioai.org — no local Docker needed |
| Local | Coming soon | Docker + local GPU/CPU, offline-first, Slurm support |
| HPC | Coming soon | Slurm / PBS / LSF, Apptainer remote execution |
| Cloud | Coming soon | AWS Batch / Azure Batch, elastic auto-scaling |
| Hybrid | Coming soon | Multi-backend orchestration, policy-driven scheduling |
| Provider | Model | Notes |
|---|---|---|
| Ollama (local) | deepseek-coder:latest | Default local model; GPU-accelerated |
| Embedding | nomic-embed-text | Local embedding model |
| Claude API | claude-sonnet-4-20250514 | Default orchestrator model |
| OpenAI / Codex | gpt-4o | Optional cloud fallback |
Runtime options: Offline-first mode, Enable RAG (vector retrieval), Default Orchestrator Model selector.
| Provider | Features |
|---|---|
| Amazon Web Services | AWS Batch, IAM access keys, S3, region selector |
| Microsoft Azure | Azure Batch, subscription ID, tenant ID, Blob storage |
| Google Cloud Platform | GCP Batch, project ID, service account JSON, Cloud Storage |
| Kubernetes | kubeconfig path, context, namespace, SIF base URL, job prefix |
| Future: Databricks Workflows | — |
| Future: Slurm Cloud Bridge | — |
| Setting | Value |
|---|---|
| Scheduler | Slurm (dropdown: Slurm / PBS / LSF) |
| GPU Jobs | CUDA cluster support |
| Remote Execution | via TES protocol |
| SSH Hostname | hpc.university.edu (configurable) |
| SSH Port | 22 |
| Private Key | ~/.ssh/id_rsa |
| Shared Mount | /shared/projects |
| Apptainer Path | /usr/bin/apptainer |
| Default Partition | gpu |
- OmniBioAI Services — health, request rate, latency, container resources
- OmniBioAI Platform Overview — full platform architecture metrics
- OmniBioAI LIMS — lab information management metrics
- OmniBioAI RAG — query latency and throughput
workbench:8000 · lims:7000 · rag:8096 · auth-service:8001 · control-center:7070 · cadvisor:8080 · redis-exporter:9121
| Component | Minimum | Recommended |
|---|---|---|
| RAM | 16 GB | 32 GB (64 GB with local LLM) |
| Disk | 50 GB free | 100 GB free |
| Docker | Engine 24+ | Docker Desktop |
| OS | Ubuntu 20.04+, macOS 12+, Windows 10/11 (WSL2) | Ubuntu 22.04+ |
| GPU | Optional | NVIDIA + nvidia-container-toolkit |
Also required: jq (sudo apt install jq), Docker Compose v2 (included with Engine 24+)
- Download installer for your platform from Releases
- Launch OmniBioAI Studio and enter your license key
- Select Beta Cloud on the Mode page
- Click through the setup wizard (Steps 1–5)
- Click Launch — tunnels connect to
webstudio.omnibioai.orgautomatically
git clone https://github.com/OmniBioAI/omnibioai-studio
cd omnibioai-studio
cp .env.example .env
# Edit .env — set DATA_DIR, WORK_DIR, and secrets
docker compose up -dnpm install
npm run dev # development mode (Vite + Electron)
npm run build # AppImage (Linux)
npm run build:mac # DMG (macOS)
npm run build:win # EXE (Windows)| Path | Purpose |
|---|---|
| Data Directory | PubMed abstracts, FAISS indexes, RAG data |
| Work Directory | Workflow results, runs, outputs |
Expected layout:
data/PubMed/Index/<study>/pubmed_index.faisswork/workflow_runner.runs/,work/uploads/,work/objects/
| Service | Default Port |
|---|---|
| Workbench | 8000 |
| TES | 8081 |
| ToolServer | 9090 |
Changing ports requires a full stack restart.
- Compose file:
docker-compose.yml(repo root — this is whatdocker compose up -dunder "Quick Start" runs;docker/docker-compose.ymlis a separate, much smaller stub, not the one the full stack uses) - Data Dir mounted as
/datain all containers - Work Dir mounted as
/workspace/workin all containers
| Field | Value |
|---|---|
| Studio Version | v0.7.0 |
| Electron | web |
| Node.js | web |
| Platform | Linux x86_64 |
| Status | Beta |
OmniBioAI Studio requires a license key for first launch.
- Format:
OMNI-XXXX-XXXX-XXXX-XXXX(30-day trial) - Get access: omnibioai.org/#request
- Offline grace period: 7 days after initial validation
- Beta users receive a GitHub token automatically with their license key
Copy .env.example to .env and fill in values — this is the actual,
current set (cp .env.example .env):
# ── Network ────────────────────────────────────────────
HOST_IP=0.0.0.0
# ── Paths (absolute paths on host) ─────────────────────
MACHINE_DIR=/path/to/your/machine/dir
WORKSPACE_HOST=/path/to/omnibioai
WORK_DIR=/path/to/omnibioai
DATA_DIR=/path/to/data
DB_INIT_DIR=/path/to/db-init
VIDEO_DIR=/path/to/omnibioai-videos/content
# ── Database ───────────────────────────────────────────
MYSQL_ROOT_PASSWORD=change-me-in-production # auto-generated on first launch
MYSQL_DEFAULT_DB=omnibioai # optional; defaults to omnibioai in compose
# ── Auth ───────────────────────────────────────────────
AUTH_SECRET_KEY=change-me-in-production # auto-generated on first launch
LICENSE_SECRET=change-me-in-production # auto-generated on first launch
# ── LIMS ───────────────────────────────────────────────
LIMS_USERNAME=admin
LIMS_PASSWORD=change-me
LIMS_REFRESH_TOKEN=
# ── LLM / AI (optional) ────────────────────────────────
ANTHROPIC_API_KEY=
OPENAI_API_KEY=
RAGBIO_API_KEY=
# ── Monitoring (optional) ──────────────────────────────
SENTRY_DSN= # empty disables in-app bug reporting
SENTRY_ENVIRONMENT=production
SENTRY_RELEASE=1.0.0
DISCORD_WEBHOOK_URL=
DISCORD_ALERT_WEBHOOK_URL= # only fires for new high-severity known-issue entries
# ── GitHub (for pulling private images) ────────────────
GHCR_PULL_TOKEN=
GF_ADMIN_PASSWORD=omnibioai # auto-generated on first launch
# ── IDE Services ───────────────────────────────────────
JUPYTER_TOKEN=omnibioai
RSTUDIO_PASSWORD=omnibioai
VSCODE_PASSWORD=omnibioaiOMNIBIOAI_DEV_MODE is a separate, CI-only flag (.github/workflows/ci.yml) — it is not a .env/compose setting and doesn't affect a local docker compose up.
Click the 🐛 Report Bug button in the Studio UI at any time.
Fields: Bug title · Description · Email (optional) · Severity (Low / Medium — Affects workflow / High / Critical)
Reports are sent to our dashboard. Response within 24 hours during beta. Disable with SENTRY_DSN= (empty) in .env.
| 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-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-launcher |
SDK UI + IDE container lifecycle API |
omnibioai_sdk |
Python SDK client |
omnibioai-security-sdk |
Security SDK for service auth |
omnibioai-design-tokens |
Shared design tokens and theme |
omnibioai-ui |
Shared UI component library |
omnibioai-landing |
Public-facing landing page |
| Version | Status | Highlights |
|---|---|---|
| v0.1.0-beta | ✅ Released | Local stack, health monitoring, Dev Hub, LLM configuration |
| v0.2.0-beta | ✅ Released | License system, zero-trust security, 1,010 tools, Windows installer |
| v0.3.0-beta | ✅ Released | IDE Services, Grafana observability, auto-secrets, npm security |
| v0.4.0-beta | ✅ Released | Version unification, 23 services, 7 execution servers, Claude Sonnet 4 |
| v0.5.0-beta | ✅ Released | 225+ plugins, 36M-abstract RAG index, 1,120+ container images, full beta launch |
| v0.6.0-beta | ✅ Released | Web version (webstudio.omnibioai.org), SSO/OAuth2 (Google/GitHub/Microsoft), Cloudflare Access, 800 ARM64 SIF images, 12,000+ tools, Hugging Face integration, Model Registry HF push button |
| v0.7.0 | ✅ Current | Unified License Key (one OMNI-XXXX key for web + desktop, auto-creates user, same JWT as OAuth login), webstudio.omnibioai.org fully working end-to-end, 12,110 tools (100+ new HTTP API tools), Tool Selection AI 57x faster with GPU-enabled Ollama (accuracy 0%→60%, Recall@K 60%→85%), 1,000 ARM64 SIF images, Control Center web service, Billing service integrated, Admin Console at admin.omnibioai.org, team expansion (Dr. Rajnish Kumar, Praveen C.V. Raghavulu) |
| v0.8.0 | 🔜 Planned | Enterprise Platform — expand the ML portfolio to 20 trained ML models on Hugging Face, HIPAA compliance reporting, SAML/enterprise SSO, multi-user workspaces, team management, usage analytics, mobile-responsive UI, and OmniBioAgent v2 (tool-aware responses, agentic workflow suggestions, multi-step reasoning, context-aware analysis) |
| v0.9.0 | 🔜 Planned | Enterprise Admin Console expansion — advanced organization administration, enterprise governance, deeper billing and subscription management, advanced usage analytics, administrative workflows, platform operations, security administration, and enterprise-scale management capabilities |
- 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
- First launch requires internet for license validation; 7-day offline grace period after
- cAdvisor requires privileged mode and
/dev/kmsgdevice access - Prometheus not exposed directly — access only via
/_svc/prometheus - Control Center (
/_svc/control) requires valid JWT; port 7070 bound to localhost only - Billing service backend (
billing-service, :8005) is deployed and DB-backed, but has no served production frontend —control-center-web(the billing/subscriptions/entitlements UI) is not wired into any docker-compose file or nginx route in this deployment yet - Two license-validation backends currently coexist: the legacy standalone
license_server.py(license-server, :8099, its own MySQL DB) and the unified/license/validateendpoint onomnibioai-auth(:8001), which is what web and desktop actually call for the OMNI-XXXX login flow. The legacy server is still built and deployed but appears superseded — pending a decision on formal decommission
| Script | Description | Schedule |
|---|---|---|
scripts/backup-mysql.sh |
Dumps all DBs to compressed .sql.gz, 7-day rotation |
Daily at 4am |
scripts/check-env.sh |
Validates .env secrets before stack start |
Before docker compose up |
omnibioai-control-center/scripts/run_coverage_host.py |
Rebuilds ecosystem coverage report | Daily at 2am |
omnibioai-dev-hub/scripts/check_and_reindex.sh |
Rebuilds RAG FAISS index on new Studio release | Hourly (checks for new release tag) |
0 4 * * * /home/manish/Desktop/machine/omnibioai-studio/scripts/backup-mysql.sh >> /home/manish/Desktop/machine/work/backups/omnibioai-backup.log 2>&1
0 2 * * * python3 /home/manish/Desktop/machine/omnibioai-control-center/scripts/run_coverage_host.py --root /home/manish/Desktop/machine >> /home/manish/Desktop/machine/work/backups/omnibioai-coverage.log 2>&1
0 * * * * /home/manish/Desktop/machine/omnibioai-dev-hub/scripts/check_and_reindex.sh >> /home/manish/Desktop/machine/work/backups/omnibioai-reindex.log 2>&1Apache 2.0 — see LICENSE
Manish Kumar — GitHub · omnibioai.org
OmniBioAI Studio is not a bioinformatics tool — it is a desktop orchestration system for distributed, secure, AI-native scientific computation.