Tavro accelerates enterprise agent adoption through metadata-driven BizOps. Purpose-built for organizations scaling AI agent deployments, Tavro provides a centralized platform to catalog, govern, and operationalize agents across your enterprise.
Key Capabilities
Agent Catalog - Maintain a comprehensive inventory of all AI agents and AI use cases across your organization with rich metadata, enabling discovery and reuse at scale.
MCP Server with Authentication - Expose agent capabilities through a secure Model Context Protocol (MCP) server with built-in authentication via Zitadel, enabling standardized agent interoperability.
Agent Playground with AWS Target Environment - Test and validate agents directly within the platform, including support for AWS as a target deployment environment.
Temporal Workflow Engine - Orchestrate complex agent workflows with enterprise-grade reliability using the integrated Temporal workflow engine for durable execution.
Connector Ingestion - Import agent metadata from external systems through configurable catalog connectors, keeping your agent inventory synchronized and up to date.
Admin Portal - Manage users, permissions, and platform configuration through a dedicated administration interface.
Architecture and Technology
Tavro is built on a modern, containerized architecture:
Tavro API - FastAPI-based backend providing RESTful endpoints for all platform operations
Tavro Web App - TypeScript frontend for agent catalog browsing, playground interaction, and administration
Postgres Database - All required schemas and extensions for metadata storage
Temporal - Workflow orchestration for reliable agent operations
MCP Server - Authenticated Model Context Protocol endpoint for agent communication
Zitadel - Identity and access management system
AWS Integration
Tavro supports AWS as a target environment in the Agent Playground, allowing teams to test and validate agent behavior against AWS services. The platform runs via Docker Compose and can be deployed on AWS infrastructure including EC2, ECS, or EKS.
Who Is Tavro For?
Tavro is designed for enterprise teams managing multiple AI agents who need:
A single source of truth for all agent metadata and use cases
Governance and visibility into agent deployments across the organization
A standardized way to test, validate, and operationalize agents
Filtering and organization of agents and AI use cases by company
Getting Started
Deploy the full Tavro platform using Docker with no coding knowledge required. The platform includes sample data for immediate exploration and supports optional connector ingestion for importing existing agent metadata.
Highlights
Tavro provides a centralized Agent Catalog that maintains a comprehensive inventory of all AI agents and use cases across your organization. With rich metadata and filtering by company, teams can discover, evaluate, and reuse agents at scale - eliminating duplication and accelerating adoption. The catalog supports connector ingestion to automatically synchronize agent metadata from external systems, keeping your inventory current without manual effort.
The platform includes a secure MCP (Model Context Protocol) server with built-in Zitadel authentication, enabling standardized communication between agents. Combined with the Temporal workflow engine for durable execution, Tavro provides enterprise-grade orchestration for complex agent workflows. This architecture ensures reliable, auditable agent operations across your organization.
Tavro features an Agent Playground with AWS as a supported target environment, allowing teams to test and validate agent behavior before production deployment. The entire platform runs containerized via Docker Compose and can be deployed on AWS infrastructure. Licensed under Apache 2.0, Tavro is fully open source with an active community of 13 contributors and 490+ commits.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing offers a single pricing dimension: a Free usage tier billed at no cost. There are no paid tiers, instance sizes, or usage add-ons to choose from. You pay nothing to use this dimension. The product lets you catalog AI agents, run risk assessments, and browse use case blueprints. It also connects with AI assistants for what-if analysis over your agent portfolio. Because only one dimension exists, there is nothing to scale up or compare. You get the same offering regardless of usage volume under this Free dimension.
Top-of-mind questions for buyers
What does the Free dimension cover, and what does it not include?
The Free dimension gives you the core Agent BizOps functions: cataloging agents, running risk assessments, and browsing use case blueprints. Automated risk scoring, GRC automation, and hosted integrations belong to the separately licensed Enterprise Platform. Those hosted capabilities are not part of this Free dimension.
Does my cost change as I add more agents or run more risk assessments?
No. This listing has one Free dimension billed at no cost. Your cost stays the same no matter how many agents you catalog or how many risk assessments you run. There are no usage thresholds, overage points, or tier boundaries that could trigger a charge under this dimension.
Where is my agent data stored under this offering, and what data gets kept?
The platform stores metadata about each agent, such as name, owner, business purpose, tool dependencies, data connections, and risk classification. It does not store prompt content, agent responses, or end-user runtime data by default. In self-hosted setups, metadata stays in your own database instance.
www.tavro.ai+1
Helpful?
Vendor refund policy
Tavro is available at no cost through AWS Marketplace. As there are no charges associated with this product, no refunds are applicable. For support or account-related queries, please contact support@tavro.ai.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Tavro provides community and direct support channels for platform users.
Community Support:
Join the Tavro Slack Community for peer-to-peer assistance, feature discussions, and platform updates
Access the open source GitHub repository at github.com/TavroOrg/tavro for issue tracking, documentation, and contributions
Direct Support:
Contact the Tavro team at info@tavro.ai for assistance with sample data, agent configuration, connector ingestion, or general platform inquiries
Self-Service Resources:
Comprehensive README documentation covering installation, configuration, and troubleshooting
YouTube channel with platform demonstrations and tutorials
Live demo available for exploring platform capabilities before deployment
FastAPI auto-generated API documentation accessible at the /docs endpoint
For issues related to AWS Marketplace subscriptions, billing, or refund requests, please contact info@tavro.ai.
agent catalog, BizOps, AI agent management, agent governance, MCP server, metadata platform, agent adoption, AI operations, agent orchestration, agent platform
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.