08 · Building / coming soon
AgentOps Studio
Multi-agent AI operations platform with agent orchestration, RAG, MCP tools, observability, Docker, Kubernetes, and Terraform scaffolding.
AgentOps Studio is a command-center surface and deploy foundation (Docker Compose, local Kubernetes structure, Terraform placeholders) for running AI workforces with operational visibility.
The full self-hostable platform source is Agent Fleet. This repo is the product shell and portable-infra trail — not a second claim that the fleet is private.
Today it runs natively on your machine (Node plus Python, no Docker required): orchestration with approval gates, RAG with citations over seeded documents, an MCP-style tool registry, and run traces. A public host is planned but not verified, so the studio links GitHub only until it is.
On the product
- Orchestration + RAG + MCP as the product spine
- Docker Compose foundation and local Kubernetes structure
- Terraform placeholders for portable managed deploys
- Observability and cost-tracking in the planned surface
- Learning log for incidents, fixes, and verification