Repositories

Mon, 01 Jan 0001 00:00:00 +0000

AgentOps is composed of eight repositories, each with a focused responsibility. All container images are published to ghcr.io/samyn92/ and Helm charts to ghcr.io/samyn92/charts/.

agentops

Purpose: Central documentation hub (this site).

Hugo site with the Docsy theme
Architecture docs, CRD reference, guides, and project information
No runtime artifacts

Repository: github.com/samyn92/agentops

agentops-core

Purpose: Kubernetes operator that manages the full lifecycle of AI agent workloads.

6 CRDs: Agent, AgentRun, AgentTool, AgentResource, Channel, Provider
Reconciles Agent CRs into Deployments (daemon) or Job templates (task) with sidecars, storage, networking, and MCP tool injection
Handles delegation orchestration, concurrency control, and schedule-based runs
Built with kubebuilder

Key tech: Go, kubebuilder, controller-runtime Image: ghcr.io/samyn92/agentops-operator Current version: v0.8.1 (~70 commits) Repository: github.com/samyn92/agentops-core

Roadmap

Mon, 01 Jan 0001 00:00:00 +0000

This roadmap covers the major features planned for AgentOps. Items are roughly ordered by priority. Timelines are not committed – this is an independent project and development happens as capacity allows.

AgentSkill CRD

Curated knowledge injected into agent system prompts. Static expertise (runbooks, procedures, domain knowledge) complementing agentops-memory’s dynamic experience (lessons learned, decisions).

Sources:

Git sync – pull markdown from a Git repository, auto-update on push
OCI – skill packages as OCI artifacts, versioned and cached
Inline – small markdown blocks directly in the CR (prototyping)
ConfigMap – mount existing ConfigMaps as skill content

Injection modes:

Project on AgentOps

Repositories

agentops

agentops-core

Roadmap

AgentSkill CRD