# bionic-gpt/bionic-gpt

Bionic is sovereign AI for the enterprise — ChatGPT-like AI that runs on-premise and can securely work with your sensitive data and systems.

Repository: https://github.com/bionic-gpt/bionic-gpt
Canonical: https://ross.abutalabs.com/products/bionic-gpt
Homepage: https://bionic-gpt.com
Language: Rust
License: Apache-2.0
License Family: permissive
Topics: architecture, full-stack, llmops, llms, rust, agentic-ai
Last push: 2026-08-26T07:00:46+00:00

## Health v2 (maintenance only)
Score: 91/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 82
- inputs: {"age_days": 1153, "days_push": 7, "days_rel": 8, "gap_med": 0.0, "n_releases_24m": 231}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2357, forks 242 (observed 2026-08-28T04:06:40.721522+00:00)

## What it is
Bionic is an open-source, self-hosted enterprise AI platform written in Rust that provides a ChatGPT-like workspace with agentic runtime, RAG pipelines, tools, sandboxed code execution, and team-based governance. It is designed for on-premise, private cloud, or air-gapped deployment so organizations can run LLMs securely over sensitive data.

## Use cases
- deploy a private ChatGPT alternative on-premise
- build RAG chatbots over internal company documents
- run an LLM platform in air-gapped environments
- give teams governed access to LLMs with permissions and audit logs
- connect local models like Ollama to an enterprise chat UI
- build agentic AI workflows with tools and sandboxed code execution
- comply with data privacy rules by keeping AI traffic inside the perimeter

## When to choose
- you need a self-hosted, model-independent AI platform with enterprise governance
- your data is sensitive and cannot leave your infrastructure
- you want RAG, tools, identity, audit, and deployment infrastructure out of the box
- you are an internal AI platform team that wants a production foundation rather than building from scratch

## When to avoid
- you just need a simple personal chat UI for one user
- you want a fully managed SaaS without self-hosting responsibilities
- your team cannot operate Docker/Kubernetes infrastructure
- you need a lightweight library to embed in an existing app rather than a full platform

## Facets
- artifact type: application
- maturity: active
- function: chatbot, rag, agent-framework, llm-inference, web-framework, self-hosted, search-engine, monitoring, auth
- domain: artificial-intelligence, large-language-models, self-hosted, erp, privacy
- platform: self-hosted, rust
- tags: sovereign-ai, on-premise, llmops, enterprise-ai, air-gapped, openai-compatible-api, rbac, sso, sandboxed-code-execution, retrieval-augmented-generation, ai-agents, docker, kubernetes, web-server, linux

## Member repositories
- bionic-gpt/bionic-gpt (main) score 91

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:40.721522+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:36:16.297613+00:00, confidence not recorded.
  - readme: https://github.com/bionic-gpt/bionic-gpt (fetched 2026-08-28T04:06:40.721522+00:00, sha e61b9d01f6ed)
  - homepage: https://bionic-gpt.com (fetched 2026-08-29T10:17:00.377037+00:00, sha d9062663c552)
  - site_page: https://bionic-gpt.com/docs (fetched 2026-08-29T10:17:00.381619+00:00, sha 1ecc083a0528)
  - site_page: https://bionic-gpt.com/docs/running-locally/docker-compose (fetched 2026-08-29T10:17:00.385001+00:00, sha 4ee3cefdc7bc)
  - site_page: https://bionic-gpt.com/pricing (fetched 2026-08-29T10:17:00.379733+00:00, sha b894e477d6b8)
  - site_page: https://bionic-gpt.com/product/integrations (fetched 2026-08-29T10:17:00.383323+00:00, sha 80935d513e7d)
  - site_page: https://bionic-gpt.com/contact (fetched 2026-08-29T10:17:00.386606+00:00, sha 2537d1da2928)
- Data as of 2026-08-30T08:39:29.467469+00:00.