Agentrc – Dockerfile-shaped, governed packaging for AI agents

Agentrc is a startup (and open‑source project) that reimagines how AI agents are packaged and deployed. The name echoes `.dockerignore` / `Dockerfile` conventions — a familiar pattern for developers. The core idea: instead of shipping agents as loose Python scripts or opaque model weights, Agentrc lets you define them in a declarative "Agentfile" (similar to a Dockerfile) that specifies permissions, tools, data sources, and runtime constraints. This adds a governance layer — version‑controlled, auditable, and enforceable — to agent deployment.<br/><br/>- **Why it matters:** As AI agents grow more autonomous (e.g., coding agents that modify files, browsing agents that act on the web), the industry lacks a standard way to limit what an agent can do. Agentrc’s "governed packaging" aims to solve this, appealing to enterprise security and compliance teams.<br/><br/>- **Prior context:** The project is early‑stage, founded by former Docker and AWS engineers. It sits at the intersection of container tooling (Docker/OCI) and agent frameworks (LangChain, AutoGPT, CrewAI).