--- title: "bionic-gpt" type: "tool" slug: "bionic-gpt-bionic-gpt" canonical_url: "https://www.graphcanon.com/tools/bionic-gpt-bionic-gpt" github_url: "https://github.com/bionic-gpt/bionic-gpt" homepage_url: "https://bionic-gpt.com" stars: 2332 forks: 235 primary_language: "Rust" license: "Other" categories: ["llm-frameworks", "ai-agents"] tags: ["architecture", "llmops", "llms", "rust", "full-stack"] updated_at: "2026-07-07T18:44:51.896216+00:00" --- # bionic-gpt > On-premise replacement for ChatGPT with strict data confidentiality Bionic allows running Generative AI on-premises, ensuring data remains confidential and secure. It supports local deployment and can scale to data centers. ## Facts - Repository: https://github.com/bionic-gpt/bionic-gpt - Homepage: https://bionic-gpt.com - Stars: 2,332 · Forks: 235 · Open issues: 4 · Watchers: 21 - Primary language: Rust - License: Other - Last pushed: 2026-06-20T10:02:30+00:00 ## Categories - [LLM Frameworks](/categories/llm-frameworks.md) - [AI Agents](/categories/ai-agents.md) ## Tags architecture, llmops, llms, rust, full-stack ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) ## README (excerpt) ```text

Bionic

Bionic is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality Bionic can run on your laptop or scale into the data center.

License License

Homepage | Contributing | Documentation


### Run Gen AI Locally in Seconds Try our [Docker Compose](https://bionic-gpt.com/docs/running-locally/docker-compose/) installation. Ideal for running AI locally and for small pilots. ### Familiar Chat Experience - 🖥️ Intuitive Interface: Our chat interface is inspired by ChatGPT to ensure a user-friendly experience. - 🌈 Theme Customization: The theme for Bionic is completely customizable allowing you to brand Bionic as you like. - ⚡ Ultra Fast UI: Enjoy fast and responsive performance from our Rust based UI. - 📜 Chat History: Effortlessly access and manage your conversation history. ### AI Assistants (Retrieval Augmented Generation) - 🤖 AI Assistants: Users can create assistants that work with their own data to enhance the AI. - 🗨️ Share Assistants with Team Members: Generate and share assistants seamlessly between users, enhancing collaboration and communication. - 📋 Agentic RAG Pipelines: Assistants are full scale enterprise ready Agentic RAG pipelines that can be launched in minutes. - 📑 Any Documents: 80% of enterprise data exists in difficult-to-use formats like HTML, PDF, CSV, PNG, PPTX, and more. We support all of them. - 💾 No Code: Configure embeddings engine and chunking algorithms all through our UI. - 🗨️ System Prompts: Configure system prompts to get the LLM to reply in the way you want. ### Teams - 👫 Teams: Your company is made up of Teams of people and Bionic utilises this setup for maximum effect. - 👫 Invite Team Members: Teams can self-manage in a controlled environment. - 🙋 Manage Teams: Manage who has access to Bionic with your SSO system. - 👬 Virtual Teams: Create teams within teams to - 🚠 Switch Teams: Switch between teams whilst still keeping data isolated. - 🚓 RBAC: Use your SSO system to configure which features users have access to. ### Defence in Depth Security - 👮 SAST: Static Application Security Testing - Our CI/CD pipeline runs SAST so we can identify risks before the code is built. - 📢 Authorization RLS - We use Row Level Security in Postgres as another check to ensure data is not leaked between unauthorized users. - 🚔 CSP: Our Content Security Policy is at the highest level and stops all manner of security threats. - 🐳 Minimal containers: We build containers from Scratch whenever possible to limit supply chain attacks. - ⏳ Non root containers: We run containers as non root to limit horizontal movement during an attack. - 👮 Audit Trail: See who did what and when. - ⏰ Postgres Roles: We run the minimum level of permissions for our postgres connections. - 📣 SIEM integration: Integrate with your SIEM system for threat detection and investigation. - ⌛ Resistant to timing attacks (api keys): Coming soon. - 📭 SSO: We didn't build our own authentication but use industry leading and secure open source IAM systems. ### Observability and Reporting - 📈 Observability API: Compatible with Prometheus for measuring load and usage. - 🤖 Dashboards: Create dashboards with Grafana for an overview of your whole system. - 📚 Monitor Chats: All questions and ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/bionic-gpt-bionic-gpt`](/api/graphcanon/tools/bionic-gpt-bionic-gpt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_