AI That Lives
Inside Your Organization
Hrida AI is a self-hosted, privacy-first AI platform built for enterprises that need full control — over their data, their models, and their infrastructure. No cloud dependency. No data leakage. No vendor lock-in.
Run entirely on your own infrastructure — on-prem, private cloud, or air-gapped. Your data never leaves your network.
Connect Ollama, OpenAI, Anthropic, Gemini, vLLM, Azure OpenAI, and local models — all through one unified interface.
RBAC, SSO/LDAP/OIDC, full audit logging, MFA, and data residency controls built for regulated industries.
Connect internal documents, vector databases, and web sources. Let your teams query institutional knowledge with AI precision.
Build and share custom AI models, functions, tool integrations, and MCP server connections — no engineering bottleneck.
AI-powered terminal for code execution, file operations, system queries, and debugging — directly inside the platform.
- Docker
- pip
- uv
- Desktop App
docker run -d -p 3000:8080 \
--add-host=host.docker.internal:host-gateway \
-v hrida-ai:/app/backend/data \
--name hrida-ai --restart always \
ghcr.io/hrida-ai/hrida-ai-studio:mainThen open http://localhost:3000. For GPU support, Docker Compose, and Kubernetes → Full install guide
pip install hrida-ai
hrida-ai serveThen open http://localhost:8080.
curl -LsSf https://astral.sh/uv/install.sh | sh
DATA_DIR=~/.hrida-ai uvx --python 3.11 hrida-ai@latest serveThen open http://localhost:8080.
Download the desktop app from Zlabs Innovation. It runs Hrida AI natively on your system — no Docker or manual setup required.
For production and enterprise deployments, use Docker or Kubernetes.
The Hrida AI Essentials guide covers the six things every new user needs to know: plugins, tool calling, task models, context management, RAG, and Hrida Terminal.
Docker, Python, and Kubernetes install options. Up and running in minutes.
Explore the full set of capabilities — chat, RAG, plugins, admin panel, and more.
Set up Ollama, OpenAI, Anthropic, Gemini, vLLM, Azure OpenAI, and local models.
Complete environment variable reference for self-hosted deployments.
Step-by-step guides for integrations, authentication, storage, and advanced setups.
Diagnose and resolve common issues — connection errors, auth, performance, and more.
Ready for Enterprise?
Custom branding, SLA support, LTS versions, dedicated onboarding, and white-label options — all backed by Zlabs Innovation.