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OPEN AGENT STACK

Open Agent Stack is an independent, umbrella toolkit for building safe, structured ai agent ecosystems

Open Agent Spec (OAS)

A YAML-based specification to declaratively define AI agents, including prompt structure, memory format, and task config. Used as the foundation for scaffolding, deployment, and orchestration.

Behavioral Contracts (BCE)

Runtime enforcement for agent behavior. Define what agents must, should, and must not do, and enforce these at inference time. Adds guardrails, governance, and observability.

DACP (Coming Soon)

Declarative Agent Communication Protocol, a message-passing and collaboration layer built around structured task exchange, enabling multi-agent systems to interoperate predictably.

Shepard (Coming Soon)

A supervising agent process that monitors other agents using BCE rules and DACP tracebacks, ensuring alignment, health, and corrective feedback across chains. Orchestrates, deploys, removes suspect agents and manages their lifecycle and Observability.

See OAS in Action

email_assistant.yaml
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Mission & Vision

The Problem

Today's AI agents are fragmented, unpredictable, and lack standardised governance. Developers face inconsistent APIs, no behavioural guarantees, and limited observability. Multi-agent systems are brittle, with poor communication protocols and no unified supervision. This creates security risks, deployment complexity, and prevents scalable AI applications.

Our Solution

The Open Agent Stack provides a comprehensive, interoperable framework for building, deploying, and governing AI agents. We combine declarative specifications, runtime behavioral enforcement, structured communication protocols, and intelligent supervision to create reliable, scalable multi-agent systems.

Beyond MCP

While Model Context Protocol (MCP) focuses on tool integration and context management, the Open Agent Stack addresses the broader ecosystem needs: behavioral governance, structured and declarative agent-to-agent communication, lifecycle management, and system-wide supervision. We complement MCP by providing the missing layers for production-ready, multi-agent deployments.

Get Involved

We're building this in the open and welcome contributions from the community. Whether you're interested in specifications, behavioral contracts, communication protocols, or supervision systems, there are opportunities to contribute.