bionic-gpt/bionic-gpt

What it solves

Bionic provides a controlled, self-hosted runtime for internal AI teams to build sovereign AI workflows. It eliminates the need to rebuild the entire platform stack when deploying AI agents that need to access internal data, use tools, and execute code in secure, air-gapped or on-premise environments.

How it works

Bionic acts as an agentic harness that connects models (hosted, private, or local) to a secure environment. It provides a virtual filesystem for managing uploads and datasets, a sandboxed environment for code and command execution, and a built-in tool runtime. This allows models to discover tools, apply "skills" (repeatable domain workflows), and produce durable artifacts and canvases within a workspace.

Who it’s for

It is designed for internal AI engineers and platform teams who require high levels of security, governance, and control over their infrastructure, models, and integrations.

Highlights

• Sovereign Deployment: Supports on-premise, private cloud, and air-gapped environments via Kubernetes.
• Model Independent: Compatible with various hosted, private, and local model endpoints.
• Agentic Capabilities: Includes sandboxed code execution and a tool runtime for deterministic capabilities.
• Enterprise Control: Features SSO/OIDC integration, team-based permissions, audit trails, and usage controls.
• Knowledge Integration: Supports RAG and dataset-backed knowledge for grounded workflows.