Open infrastructure for distributed, edge-resident AI systems — built on the principle that intelligence should live where data lives, not behind someone else's API.
| Layer | Project | What it does |
|---|---|---|
| Brain | ruvector |
Vector database, graph neural networks, embeddings, attractor dynamics, and the shared knowledge graph that powers the rest. |
| Runtime | weftos |
Agent runtime and orchestration layer that consumes capabilities from the brain. |
| Commons | .github |
Shared community defaults, reusable CI workflows, and engineering best-practices docs that apply across every FlexNetOS repository. |
A single set of community defaults applies across every FlexNetOS repository:
- Code of Conduct
- Contributing guide — commit conventions, branch policy, PR expectations
- Security policy — how to report vulnerabilities privately
- Support guide — Issues vs Discussions vs email
Each repository's own README.md is the source of truth for how to
build and test that repository. Start there.
Documentation that applies across repositories lives in FlexNetOS/.github/docs/:
- Fork-and-track workflow — carrying local patches on third-party repos.
- Directory layout for local checkouts — on-disk convention for forks vs first-party vs read-only clones.
- Self-hosted runner safety — untrusted-PR risk and the ephemeral-runner migration path.
- Security: https://github.com/FlexNetOS/.github/blob/main/SECURITY.md
- General: open an issue on the relevant repository.