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Sovereign AI

Sovereign AI describes artificial intelligence systems whose models, training data, and compute are owned and governed by the organization, nation, or individual that operates them, rather than rented from a third-party cloud or foreign provider. It emphasizes data control, local or on-device inference, open model weights, and computational independence.

Projects in this space include self-hosted and local-first assistants, on-device inference runtimes, privacy-preserving and federated training, and tooling for regulatory compliance such as the EU AI Act. The shared goal is to reduce external dependencies and keep sensitive data and decision-making under the operator’s own control.

Here are 505 public repositories matching this topic...

Project Tapestry aims to give every nation and participant frontier AI they can call their own — uniting a global consortium to train a shared frontier model from which partners build and own sovereign models aligned to their national, socio-cultural, and industrial needs.

  • Updated Aug 11, 2026
  • Python

Deep research for your Infrastructure. Cynative safely enables AI to reason across your code, cloud and runtime as one system - read-only connectors, sandboxed execution, verified answers.

  • Updated Aug 12, 2026
  • Go

The agent harness that makes small local models finish hard tasks — and prove it. Done is enforced by the engine, not the prompt: gates, rewinds, a judge, and a replayable Proof-of-Done receipt on every finished run. Any model in the socket. Local, sovereign, air-gapped-capable. macOS · Linux · Windows.

  • Updated Aug 12, 2026
  • TypeScript

A cognitive architecture that runs on your own machine. Internal state reaches generation through the model's activations, not the system prompt — and every consequential action leaves a receipt you can audit. Not an assistant. IIT 4.0 φ, CAA steering, 136 consciousness modules, local on Apple Silicon.

  • Updated Aug 12, 2026
  • Python

Web knowledge is fragmented — duplicated across fonts, embeddings, metadata, and renderings. Humans see pixels, AI sees tokens, neither shares the source. Knowledge3D: a sovereign GPU-native reference implementation for W3C PM-KR, where humans and AI consume the same procedural knowledge from one source.

  • Updated May 17, 2026
  • Python

AegisSovereignAI: The Cross-Ecosystem Trust Layer for the Distributed Enterprise. Verifiable Identity, Hardware-Rooted Integrity, and Sovereign AI Governance - from Silicon to Prompt. Unifying AI, Cloud-Native, and Decentralized architectures.

  • Updated May 2, 2026
  • Go

Build sovereign RAG systems with MAS‑RAG, Dual‑RAG, GraphRAG, Spatial‑RAG, multimodal pipelines, and vector search directly inside Oracle AI Database 26ai and Exadata.

  • Updated May 7, 2026
  • Jupyter Notebook