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Agent Control Plane

AI automation platform for orchestrating agentic sessions on Kubernetes

Overview

The Agent Control Plane (ACP) lets teams create and manage AI agentic sessions — automated tasks that clone repos, run AI agents, and push results. Sessions are stored in PostgreSQL and reconciled into Kubernetes pods via gRPC.

Key Capabilities

  • Agentic Sessions: AI-powered automation for code review, bug fixes, research, and development tasks
  • Multi-Agent Workflows: Specialized AI agents with configurable prompts, models, and repos
  • Git Provider Support: GitHub and GitLab (SaaS and self-hosted) via credential sidecars
  • Kubernetes Execution: Sessions run as pods with RBAC, resource limits, and namespace isolation
  • CLI and SDK: acpctl CLI and generated SDKs (Go, Python, TypeScript) for automation

Quick Start

make kind-up
make kind-port-forward   # ports shown in output

See CONTRIBUTING.md for full local development setup.

Architecture

Component Technology Description
API Server (ambient-api-server) Go + rh-trex-ai REST + gRPC API, PostgreSQL-backed. Source of truth.
Control Plane (ambient-control-plane) Go Watches API server via gRPC streams, creates K8s pods
UI (ambient-ui) NextJS + Shadcn Web interface for managing sessions and agents
Runner (ambient-runner) Python Executes AI agents inside pods (Claude, Gemini, LangGraph bridges)
MCP Server (ambient-mcp) Go MCP tool definitions, deployed as credential sidecars
User Creates Session → API Server Persists to DB → Control Plane Creates Pod →
Runner Executes AI Agent → Results Stream to API Server → UI Displays Progress

Documentation

Components

  • API Server — REST + gRPC API (rh-trex-ai, PostgreSQL)
  • Control Plane — gRPC-driven session reconciler
  • UI — NextJS web application
  • Runner — AI agent execution
  • MCP Server — MCP tool integration
  • CLIacpctl command-line tool
  • SDK — generated from the OpenAPI spec (Go, Python, TypeScript)
  • Manifests — Kustomize deployment resources

Contributing

See CONTRIBUTING.md for guidelines, code standards, and local development setup.

License

This project is licensed under the MIT License — see the LICENSE file for details.