Open Standard for Software Agents [OSSA]

Conceptual Overview

OSSA introduces a manifest-first architecture in which every AI agent is defined by a portable, machine-readable manifest. This manifest acts as the authoritative contract describing the agent’s identity, capabilities, permissions, and operational constraints.

Unlike traditional agent frameworks that are tightly coupled to specific runtimes, OSSA enables agents to be:

• Portable across environments (e.g., Kubernetes clusters, cloud platforms, institutional systems)

• Verifiable through cryptographic identity

• Governed through standardized policy enforcement

• Auditable at every interaction point

This creates a common operational language for AI agents, analogous to how APIs standardized service interaction in earlier distributed systems.

Core Architectural Model

At its core, OSSA defines a contract layer for AI agents. Each agent is described by a manifest containing:

• Global Agent Identifier (GAID) based on decentralized identity standards

• Declared capabilities and operational scope

• Authorized tools and APIs

• Policy constraints and access controls

• Resource limits (compute, tokens, API usage)

• Security attestations and cryptographic signatures

This manifest is portable and enforceable, meaning the same agent definition can be deployed across multiple environments without redefining its security or governance model.

Identity and Trust Framework

A central innovation of OSSA is its persistent identity model, which ensures that an agent remains identifiable and accountable regardless of where it is deployed.

• Global Agent Identifier (GAID):
  Built on decentralized identity standards, enabling cross-system recognition.

• Trust Tier Model:
  OSSA defines four levels of agent authority:

  • Tier 1 — Read Only

  • Tier 2 — Limited Write

  • Tier 3 — Elevated Write

  • Tier 4 — Administrative Control

This tiered model allows systems to strictly bound agent behavior, particularly in regulated environments such as legal, governmental, or evidentiary systems.

Policy Enforcement and Authorization

OSSA integrates policy-as-code authorization, ensuring that every agent action is evaluated before execution.

• Pre-execution authorization checks for every tool invocation

• Formal policy evaluation using frameworks such as
  Cedar Policy Language

• Explicit declaration of accessible tools and endpoints

• Fine-grained access control aligned with role and trust tier

This ensures that agents cannot act outside their defined permissions, even if compromised or misconfigured.

Security and Compliance Alignment

OSSA embeds security controls directly into the agent definition, aligning with established federal and enterprise standards such as:

• National Institute of Standards and Technology

• NIST SP 800-53 Revision 5

Key security features include:

• Cryptographic signing of agent manifests

• Tamper-resistant identity verification

• Rate limiting and resource governance

• Complete audit logging of agent actions

• Traceability from user → agent → tool execution

These controls are particularly critical in environments requiring chain-of-custody integrity, such as the Evidence Platform.

Discovery and Federation

OSSA is designed to operate within a federated ecosystem of agents, where discovery and interaction occur across organizational boundaries.

It integrates with the
Decentralized Universal Agent Discovery Protocol
to enable:

• Cross-domain agent discovery

• Identity verification and trust validation

• Revocation of compromised agents

• Distributed agent registries without central control

This model supports a decentralized “Internet of Agents”, where institutions maintain sovereignty while participating in a shared ecosystem.

Role Within the Evidence Platform

Within the Evidence Platform architecture, OSSA functions as the standardized agent governance layer across all participating entities:

Institutional Agent Execution

Each participant—law enforcement, prosecutors, defense, courts, and oversight bodies—may deploy OSSA-compliant agents within their own Kubernetes clusters.

These agents may perform:

• Evidence analysis and classification

• Discovery completeness validation

• Brady/Giglio risk detection

• Workflow automation and reporting

Data Sovereignty Preservation

Because OSSA agents are portable and policy-bound, they can operate:

• Inside institutional clusters

• Without requiring replication of evidence

• While respecting strict access controls to the Origin of Truth

Immutable Auditability

Every agent action is:

• Logged

• Attributed to a persistent identity

• Verifiable through cryptographic signatures

This creates a forensic-grade audit trail, critical for judicial and oversight review.

Secure Multi-Agent Collaboration

OSSA enables agents from different organizations to collaborate while maintaining:

• Independent control

• Explicit permissions

• Verifiable trust relationships

Strategic Significance

OSSA represents a necessary evolution in distributed system governance. As AI agents transition from passive tools to autonomous actors, traditional security models (user-based access control, static APIs) become insufficient.

OSSA addresses this by introducing:

• Identity-first agent architecture

• Policy-enforced execution boundaries

• Portable, standardized agent definitions

• Cross-organizational interoperability

In regulated domains—particularly justice systems—this provides a framework for:

• Accountable automation

• Transparent decision-making systems

• Elimination of opaque AI behavior

• Enforceable compliance with disclosure obligations

References and Resources

• National Institute of Standards and Technology — AI Risk Management Framework

• W3C Decentralized Identifiers (DID) Core — Decentralized identity model

• Cedar Policy Language — Policy-as-code authorization

• NIST SP 800-53 Revision 5 — Security control baseline

Summary

OSSA establishes a standardized contract layer for AI agents, enabling secure, auditable, and interoperable operation across distributed systems. Within the Evidence Platform, it provides the mechanism by which autonomous analysis can occur without compromising evidentiary integrity, data sovereignty, or legal accountability.

It is not merely a technical specification—it is a governance model for the agent-driven future of regulated systems.