Comparison Preset
Choose Agno for an enterprise environment, as Mastra's `NOASSERTION` license presents an unacceptable legal risk. Agno's Apache-2.0 license, mature platform age of over four years, and features like RBAC, tracing, and human approval workflows are built for production-grade, auditable systems. It provides full control by allowing you to self-host and manage state in your own database, satisfying critical governance requirements. While its known CRITICAL vulnerability must be addressed immediately, the framework's overall structure is far better aligned with enterprise needs for stability and long-term maintainability. The high bus factor of 8/10 and 100 maintainers also signal a healthy project.
Overview
The bottom line — what this framework is, who it's for, and when to walk away.
Bottom Line Up Front
Agno is an agent platform designed to build, deploy, and manage AI agents in production environments. It supports agents built using any framework or no-code UI, providing production-grade features like tracing, scheduling, and RBAC. Agno allows teams to automate diverse tasks from data labeling and document extraction to product copilots while maintaining data ownership.
Mastra is a TypeScript framework for developing and deploying AI agents and applications. It supports rapid prototyping and confident shipping through a comprehensive toolset including Mastra Studio, an interactive UI. The framework integrates with popular web frameworks and provides access to over 3000 models from multiple LLM providers.
Best For
Orchestrating, deploying, and managing a fleet of AI agents for product, ML, and operations workflows.
Building production-ready AI agents, workflows, and tools for integration into diverse applications.
Avoid If
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Strengths
- +Productionizes agents built with any framework, offering flexibility in agent creation.
- +Provides robust production features for agents, including tracing, scheduling, role-based access control (RBAC), and audit trails.
- +Supports management of the entire agent development lifecycle using coding agents.
- +Offers native typesafety and multi-modal capabilities for various input/output modalities, including structured output.
- +Ensures data ownership by storing all session, memory, and trace data in the user's own database and cloud.
- +Enables auto-improvement of agents using production usage data via provided code mechanisms.
- +Designed to help prototype AI agents fast and ship with confidence
- +Provides Mastra Studio, an interactive UI for building, testing, and managing agents, workflows, and tools
- +Offers a model router with access to over 3000 models from various providers, including OpenAI, Anthropic, and Google
- +Supports integration into existing projects or new apps built with frameworks like Next.js, React, Astro, and Express
- +Includes pre-built templates for common use cases such as customer-facing assistants, internal copilots, and data analysis agents
Weaknesses
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Project Health
Is this project alive, well-maintained, and safe to bet on long-term?
Bus Factor Score
Maintainers
Open Issues
Fit
Does it support the workflows, patterns, and capabilities your team actually needs?
State Management
Agno stores all session, memory, and trace data in the user's own database within their cloud environment.
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Cost & Licensing
What does it actually cost? License type, pricing model, and hidden fees.
License
Perspective
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