Agenttier is an open-source agent orchestration harness and execution platform designed for hosting, managing, and scaling autonomous coding agents in containerized and cloud-native environments. Developed as a Go-based platform with Kubernetes-native custom resource definitions (CRDs), it provides the foundational infrastructure needed to run untrusted agent workloads safely across sandboxed compute nodes. In day-to-day operation, Agenttier manages the agent lifecycle through API controllers, CLI tooling, and an integrated Web UI. It allows developers to deploy agents built with frameworks like LangGraph into isolated execution sandboxes using pre-configured Docker images. Because it acts as an orchestration tier rather than a standalone prompt client, it is model-agnostic and relies on the underlying agent frameworks and Python SDK bindings to interface with foundation model providers. What distinguishes Agenttier from single-user CLI coding tools is its focus on platform-level infrastructure. It incorporates Helm charts, Terraform configurations, and Kubernetes controller primitives (`api/v1alpha1`) to handle agent provisioning, networking, execution sandboxes, and lifecycle telemetry for multi-agent workloads at scale. Agenttier is distributed as an open-source project on GitHub under active development, providing infrastructure templates for engineering teams looking to host their own self-managed AI agent backend.
Tags: agent harness, ai agent, cli, coding agent, developer tools, OpenSource