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axsaucedoKubernetes-native orchestration for distributed AI agent systems
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Summary KAOS is a Kubernetes-native framework for deploying, managing, and orchestrating AI agents in large-scale distributed multi-agent systems. It simplifies coordinating agents, integrating tools, and managing LLM interactions within Kubernetes, benefiting engineers and researchers building sophisticated AI applications.
How It Works
KAOS defines agent networks as Kubernetes resources ("Agentic Graphs") and integrates tools via Model Context Protocol (MCP) primitives. It supports hierarchical multi-agent systems with automatic delegation and exposes an OpenAI-compatible /v1/chat/completions API for simplified LLM interaction. Agents run on the Pydantic AI Server (PAIS), adding distributed memory, delegation, and instrumentation. This approach leverages Kubernetes for scalability and resilience while standardizing agent communication.
Quick Start & Requirements
kubectl, helm.pip install kaos-cli, kaos system install) or Helm charts (helm repo add kaos https://axsaucedo.github.io/kaos/charts, helm install kaos kaos/kaos-operator -n kaos-system --create-namespace).axsaucedo.github.io/kaos. Web UI: axsaucedo.github.io/kaos-ui.Highlighted Details
/v1/chat/completions.Maintenance & Community
The project appears primarily maintained under axsaucedo. Specific community channels, contributors, sponsorships, or a public roadmap are not detailed in the README.
Licensing & Compatibility Licensed under the permissive Apache 2.0 license, generally allowing commercial use and integration into closed-source projects.
Limitations & Caveats
Custom Resource Definitions (CRDs) use the v1alpha1 API version, indicating an experimental and potentially unstable API subject to change.
4 days ago
Inactive