Software systems have undergone several waves of standardization over the past decades. APIs are described using OpenAPI. Infrastructure is managed through tools such as Terraform. Containers are orchestrated using Kubernetes. These standards allow complex systems to be described, validated, shared, and understood independently of their underlying implementations.
Autonomous systems are now becoming a fundamental part of modern software. AI assistants, workflow automations, research agents, educational tutors, enterprise copilots, financial analysts, healthcare assistants, robotics platforms, and multi-agent systems increasingly interact with external resources, perform actions, maintain state, and make decisions with real-world consequences.
Despite this evolution, there is currently no universal, implementation-independent specification for describing the operational behavior of these systems. Developers often rely on prompts, source code, workflow definitions, configuration files, framework-specific metadata, or informal documentation to communicate what an autonomous system is expected to do. These approaches are difficult to validate, compare, govern, or reuse across different frameworks, programming languages, organizations, and domains.
Agent Contracts exists to address this gap.
Its purpose is to establish a universal specification for describing, validating, analyzing, and governing the operational behavior of autonomous systems. Rather than describing how an agent reasons internally, Agent Contracts defines the operational boundaries within which an autonomous system is expected to execute. By separating operational intent from implementation details, Agent Contracts aims to make autonomous systems easier to understand, validate, govern, and interoperate regardless of the technologies used to build them.
Autonomous systems are rapidly expanding beyond conversational AI. Modern systems interact with external resources, execute tools, call APIs, maintain persistent state, collaborate with other agents, and perform actions that may directly affect users, organizations, or physical environments.
As these systems become more capable, understanding their operational behavior becomes increasingly important. Before deploying or integrating an autonomous system, stakeholders often need to answer questions such as:
- What resources can the system access?
- Which actions is it permitted to perform?
- What external side effects can it produce?
- Which operations require human approval?
- What information persists between executions?
- How does the system recover from failures?
- Can the same operation be safely repeated?
- Which external services or infrastructure does it depend on?
- How can its behavior be observed or audited?
Today, this information is typically scattered across prompts, source code, workflow definitions, framework-specific configuration, deployment documentation, and organizational knowledge. In many cases, the complete operational behavior of a system can only be understood by reading its implementation.
This creates several challenges.
Operational behavior becomes difficult to review before deployment, difficult to compare across different implementations, difficult to validate automatically, and difficult to govern consistently across teams, organizations, and regulatory environments.
These challenges are independent of the frameworks, programming languages, or models used to build autonomous systems. They arise because there is currently no common, implementation-independent representation of operational behavior.
(To be written)
Agent Contracts is an open specification for describing, validating, analyzing, and governing the operational behavior of autonomous systems.
An Agent Contract is a machine-readable document that describes the operational characteristics of an autonomous system independently of its implementation, framework, programming language, or execution environment.
Rather than describing how an autonomous system performs reasoning or decision-making internally, an Agent Contract describes the operational boundaries within which that system is expected to execute. These boundaries include the system's capabilities, resources, constraints, permissions, dependencies, state, recovery behavior, observability, and governance requirements.
The specification is designed to be:
- Human-readable, allowing stakeholders to understand an autonomous system without inspecting its implementation.
- Machine-verifiable, enabling automated validation, analysis, and policy enforcement.
- Framework-independent, allowing the same contract to describe systems built using different orchestration frameworks or execution engines.
- Domain-independent, making the specification applicable to software engineering, education, healthcare, finance, research, robotics, enterprise automation, and future domains.
- Extensible, allowing domain-specific capabilities to be added without modifying the core specification.
Agent Contracts does not replace implementation frameworks, workflow engines, programming languages, or deployment platforms. Instead, it provides a common operational specification that can be shared across them.
The design of Agent Contracts is guided by a small set of principles intended to ensure that the specification remains useful across different technologies, industries, and future generations of autonomous systems.
The specification must not depend on any particular orchestration framework, programming language, runtime, cloud provider, or AI model.
An Agent Contract should describe the same operational behavior regardless of whether the underlying system is implemented using LangGraph, n8n, CrewAI, AutoGen, OpenAI Agents SDK, custom software, or future frameworks that do not yet exist.
The specification is designed to describe autonomous systems across diverse domains rather than a single application area.
The same core specification should be applicable to software engineering, education, healthcare, finance, scientific research, enterprise automation, robotics, manufacturing, customer support, legal systems, and future domains without requiring changes to the core model.
An Agent Contract should be understandable by people with different technical backgrounds.
Developers, researchers, business users, auditors, educators, healthcare professionals, compliance teams, and decision makers should be able to understand the operational behavior of an autonomous system without reading its implementation.
Every contract should be structured so that software can validate, analyze, compare, and reason about it automatically.
Machine-readable contracts enable automated validation, governance analysis, policy enforcement, documentation generation, interoperability, and future tooling built on top of the specification.
The core specification should remain intentionally small.
Only concepts that are universal across autonomous systems belong in the core specification. Framework-specific, domain-specific, or organization-specific concepts should be implemented as extensions rather than expanding the core standard.
A small and stable core improves interoperability, maintainability, and long-term adoption.
The specification should allow additional capabilities without requiring modifications to the core standard.
Extension mechanisms should enable industries, organizations, and open-source communities to define specialized capabilities while preserving compatibility with the core specification.
Agent Contracts should encourage secure operational design by making permissions, capabilities, external dependencies, approval requirements, side effects, and operational boundaries explicit.
The specification does not guarantee security. Instead, it provides a structured foundation that enables security analysis, governance policies, compliance validation, and risk assessment by external tools.
The purpose of an Agent Contract is not only to document an autonomous system but also to enable governance throughout its lifecycle.
The specification should support validation before deployment, operational review, policy enforcement, auditing, compliance assessment, and interoperability across organizations and execution environments.
The specification should evolve without unnecessarily breaking existing contracts.
Future versions should preserve compatibility whenever practical through versioning, migration guidance, and extension mechanisms, allowing the ecosystem to evolve while protecting existing implementations.
Agent Contracts is intentionally focused on describing and governing the operational behavior of autonomous systems. Several capabilities are deliberately considered outside the scope of the core specification.
Agent Contracts does not execute autonomous systems.
It does not replace workflow engines, orchestration frameworks, runtime environments, scheduling systems, or programming languages.
Execution remains the responsibility of the underlying implementation.
Agent Contracts does not define how an autonomous system performs reasoning, planning, decision-making, or inference.
The specification intentionally avoids describing prompts, reasoning strategies, chain-of-thought, planning algorithms, model architectures, or internal implementation details.
Its purpose is to describe operational behavior rather than cognitive behavior.
Validation against an Agent Contract does not guarantee that an autonomous system is secure, trustworthy, or free from vulnerabilities.
The specification provides structured information that enables security analysis, governance, auditing, compliance assessment, and risk evaluation by external tools and organizational policies.
Agent Contracts does not replace legal, regulatory, or industry-specific compliance frameworks.
Instead, it provides a common operational representation that external compliance systems may analyze and validate.
The core specification intentionally avoids concepts that apply only to a single industry, framework, or technology.
Domain-specific requirements should be implemented through extensions rather than incorporated into the core specification.
Agent Contracts does not define how autonomous systems are discovered, distributed, deployed, licensed, authenticated, or monetized.
Future registries, marketplaces, and deployment platforms may consume Agent Contracts, but these concerns remain outside the scope of the specification itself.
The specification describes operational intent but does not enforce it.
Runtime authorization, sandboxing, monitoring, policy enforcement, and execution control are responsibilities of systems that consume Agent Contracts rather than the specification itself.
The long-term vision of Agent Contracts is to establish a universal operational specification for autonomous systems, similar to the role that standards such as OpenAPI, Terraform, and Kubernetes have played within their respective ecosystems.
The objective is not to standardize how autonomous systems are implemented, but to standardize how their operational behavior is described, validated, analyzed, governed, and exchanged across different frameworks, organizations, and domains.
As the ecosystem evolves, Agent Contracts aims to become a common language shared by developers, researchers, educators, enterprises, regulators, healthcare organizations, financial institutions, and other communities building or deploying autonomous systems.
This vision extends beyond the specification itself. Agent Contracts is intended to support a broader ecosystem of interoperable tools and services, including:
- Structural and semantic validation engines.
- Governance and policy analysis tools.
- Risk assessment and trust evaluation systems.
- Human-readable documentation generators.
- Python SDKs, CLIs, and developer tooling.
- IDE extensions with intelligent authoring and validation.
- Web-based contract editors and visualization tools.
- Contract registries for publishing, discovery, and versioning.
- Domain-specific extension packs maintained by industry communities.
- Runtime integrations capable of enforcing operational policies defined by contracts.
As autonomous systems become increasingly capable and interconnected, operational transparency and governance will become essential requirements rather than optional documentation.
Agent Contracts seeks to provide the common operational foundation upon which future tooling, governance frameworks, execution platforms, compliance systems, and autonomous ecosystems can be built.
The project is intended to evolve through an open, community-driven standardization process. Future versions of the specification should prioritize stability, backward compatibility, interoperability, and broad applicability while remaining adaptable to new technologies, industries, and forms of autonomous systems that emerge over time.