Kaigents is a Kubernetes-native platform for building, running, and operating AI agents in production environments, optimized for low total cost of ownership (TCO) with a strong focus on AMD Ryzen AI hardware.

This repository is the Kaigents platform (distinct from any future marketing/community site).

• docs/product/kaigents-prd.md
  • Product goals, MVP scope, functional requirements, UX requirements (run timeline), and milestones.
• docs/architecture/kaigents-architecture-and-design.md
  • Canonical system design: boundaries, data flows, and the role of tool plane, run timeline, artifacts, and RAG.
• docs/implementation/kaigents-implementation-tracker.md
  • Milestone tracker and push/review gates (when we are allowed to push working code).
• docs/CODING_STANDARDS_AND_DOD.md
  • Coding standards, CI quality gates, and definition of done.
• docs/research/technology/itd-register.md
  • Important Technical Decisions (ITDs) that constrain implementation choices.
• docs/research/technology/oss-components-commercially-permissible.md
  • OSS due diligence list and licensing posture (redistribute vs integrate-only vs exclude).

• Kaigents is MIT-licensed.
• Core dependencies must remain commercial-safe (redistribution-safe).
• Integrate-only components (user-supplied) are allowed only when clearly separated and documented.

This repo uses a minimal Makefile to run formatting, linting, and tests when relevant toolchains are present.

make fmt
make lint
make test

Implementation scope, milestones, and acceptance criteria are tracked in docs/implementation/kaigents-implementation-tracker.md.