Open Enterprise Specification
for AI Multi-agent
Orchestration
OpenEAGO is an open standard for secure, scalable, and compliant multi-agent workflows in regulated enterprise environments. Designed for regulated industries with comprehensive governance, auditability, and cross-border compliance.
Envelope
Signed payload + policy bundle + trace context + compliance metadata.
Negotiation
Capability discovery, cost budgets, compliance validation, and policy enforcement.
Handoff
Deterministic routing with replayable state snapshots and audit trails.
Governance
Human-in-the-loop controls, explainability, and bias monitoring.
Features
Everything enterprise teams need to ship safely in regulated environments
OpenEAGO addresses critical gaps in enterprise AI infrastructure by providing a universal standard for AI agent interoperability that operates within regulatory boundaries and enterprise security requirements.
Framework-Agnostic Integration
Support for LangChain, LangGraph, custom agents, and legacy system wrappers with seamless interoperability across any AI framework.
Enterprise-Grade Security
Built-in authentication (OAuth2, SAML, mTLS), authorization (RBAC/ABAC), and end-to-end encryption for regulated enterprise environments.
Regulatory Compliance
Native support for GDPR, HIPAA, PCI-DSS, CCPA, and financial services regulations with automated compliance validation and reporting.
Resilient Orchestration
Multi-agent workflow coordination with circuit breakers, retry policies, fallback routing, and compensating transactions for high availability.
Cross-Border Data Governance
Automated compliance with data sovereignty and localization requirements across jurisdictions for global agent collaboration.
AI Governance
Human-in-the-loop controls, explainability features, and bias monitoring aligned with leading regulatory requirements.
Agent Farms & Registry
Dynamic agent discovery, registration with mTLS, bi-directional communication, reliability scoring, and capability management.
Arbitrary Complex Orchestration
Support for complex workflows involving multiple agents, tasks, and dependencies with deterministic handoffs and full audit trails.
Context & State Management
Hierarchical state capture across session, conversation, agent, and task layers with CRDT-based synchronization and audit anchoring.
Architecture
A specification stack designed for regulated enterprise AI
Agents exchange signed envelopes, negotiate capabilities, and synchronize state through a comprehensive layered architecture. Every step is observable, compliant, and replayable.
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1Contract layer
Standard message schema with signatures, policy bundles, and regulatory compliance metadata.
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2Planning layer
Dynamic capability discovery, cost budgeting, guardrail enforcement, and optimal agent selection.
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3Verification layer
Plan validation with authorization, SLA/SLO agreements, policy compliance, and risk assessments.
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4Execution layer
Executes tasks with deterministic routing, state snapshots, multi-region failover, and compliance monitoring.
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5Context layer
Manages contextual information and state across sessions, conversations, and agent layers with audit trails.
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6Communication layer
Standardized agent communication specification ensuring interoperability and secure context sharing.
openeago.json
{
"contract_id": "<uuid-v4>",
"version": "0.1.0",
"client_info": {
"agent_id": "...",
"identity": "spiffe://..."
},
"business_requirements": {
"task": "...",
"sla": "...",
"compliance": [...]
},
"workflow_tasks": [
{ "id": "task-1", ... },
{ "id": "task-2", ... }
],
"execution_constraints": {
"timeout_ms": 30000,
"retry_policy": "exponential"
},
"regulatory_compliance": {
"gdpr": true,
"pci_dss": true
},
"data_governance": {
"jurisdiction": "EU",
"data_residency": "eu-west-1"
}
}
Use cases
Built for regulated, high-trust environments
From multinational banking to healthcare, OpenEAGO enables compliant agentic workflows that meet global regulatory requirements.
Coordinate risk assessment, AML/KYC compliance, and analytics agents with deterministic handoffs and full audit trails.
Enable secure agent collaboration across jurisdictions while maintaining data sovereignty and regulatory compliance.
Connect patient data agents, diagnostic models, and clinical decision systems with HIPAA-compliant communication and consent management.
Bridge security scanners, CI/CD agents, and incident responders with comprehensive policy enforcement and compliance validation.
Why teams adopt OpenEAGO
Deploy autonomous agents with consistent compliance checks, automated policy enforcement, and reversible actions across global jurisdictions.
Comprehensive identity management, mTLS authentication, and zero-trust architecture with agent registry and capability validation.
Trace every decision with deterministic replay, compliance audit logs, and explainability features for regulatory reporting.
Automated handling of data sovereignty, localization requirements, and jurisdiction-specific regulations for global agent collaboration.
Immutable audit trails with cryptographic verification ensure tamper-proof compliance records and regulatory reporting across multi-agent workflows.
Blog
Latest updates
Short updates on releases, roadmap milestones, documentation, and news.
OpenEAGO 0.1.0 — Initial release with core specification
Initial release of OpenEAGO 0.1.0, featuring the core specification and documentation to get started.
Feb 14, 2026Q1 2026 goals: Initial 0.1.0 release and agent registry
Focus on core specification features, reference implementation, and community building.
Feb 10, 2026First commit to the OpenEAGO specification and reference implementation
Initial commit laying the foundation for future development and community contributions.
Jan 20, 2026FINOS Labs welcomes OpenEAGO as the newest project in the foundation
Join maintainers and contributors to shape the next-gen enterprise multi-agent standard.
Dec 16, 2025Community
Build the future together
Join the OpenEAGO community to shape the next generation of enterprise multi-agent standards.
Community checklist
- Review the OpenEAGO specification and share feedback.
- Join weekly design calls and RFC reviews.
- Ship reference implementations for your stack.
- Sign contributions with DCO and open pull requests.
- Report issues and propose new RFCs on GitHub.