Agno

Comparison Preset

VerdictAgno vs Mastra · For Enterprises

Agno is the only viable choice here due to its clear Apache-2.0 license, which is a critical requirement for managing risk. Mastra's "NOASSERTION" license status is an immediate non-starter for enterprise adoption without significant legal clarification. Agno is the more mature project at over 4 years old and provides essential features like RBAC, audit logs, and user-owned state management. However, you must immediately investigate and mitigate its known CRITICAL vulnerability before any deployment is considered. While Mastra has a slightly higher bus factor score of 9/10, Agno's 8/10 is strong and its license clarity makes it the only defensible long-term choice.

Overview

The bottom line — what this framework is, who it's for, and when to walk away.

Bottom Line Up Front

Agno provides an SDK and runtime (AgentOS) for building, running, and managing agent platforms. It enables the creation of multi-agent systems and step-based workflows, offering production features like isolated sessions, RBAC, and data ownership. Teams can deploy intelligent software in their own cloud environments.

Mastra is a TypeScript framework designed for building and deploying AI agents and applications. It provides a comprehensive UI, Mastra Studio, for managing agents and workflows. The framework integrates with popular web frameworks and supports a wide array of LLM providers and models.

Best For

Building and productionizing multi-agent platforms, in-product copilots, and AI-driven data workflows.

Building reliable, scalable AI agents and applications across various domains.

Avoid If

no data

no data

Strengths

  • +Provides an SDK for building agents, multi-agent teams, and step-based agentic workflows.
  • +AgentOS runtime offers multi-user, isolated sessions with tracing, scheduling, RBAC, and audit logs.
  • +Allows running agents as a service with a unified control plane for management.
  • +Runs in your cloud using your database, ensuring ownership of session, memory, and trace data.
  • +Natively typesafe and multi-modal, suitable for data labeling, extraction, and classification.
  • +Can productionize agents built with any framework, model, or cloud.
  • +Facilitates rapid prototyping and confident shipping of AI agents.
  • +Offers a comprehensive UI, Mastra Studio, for building, testing, and managing agents and workflows.
  • +Provides access to over 3000 models from numerous LLM providers via its model router.
  • +Supports integration with popular web frameworks like Next.js, React, Astro, Express, SvelteKit, and Hono.
  • +Includes templates for various specific AI applications, from customer support to data analysis.

Weaknesses

      Project Health

      Is this project alive, well-maintained, and safe to bet on long-term?

      Bus Factor Score

      8 / 10
      9 / 10

      Maintainers

      100
      100

      Open Issues

      946
      403

      Fit

      Does it support the workflows, patterns, and capabilities your team actually needs?

      State Management

      AgentOS runtime manages state through multi-user, isolated sessions, allowing users to own their session, memory, and trace data.

      no data

      Cost & Licensing

      What does it actually cost? License type, pricing model, and hidden fees.

      License

      Apache-2.0
      NOASSERTION
      +Add comparison point

      Perspective

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