Comparison Preset
Agno is the only viable choice here primarily due to its Apache-2.0 license, which is enterprise-friendly, whereas Mastra's 'NOASSERTION' license introduces unacceptable legal risk. Agno is also a more mature project at nearly double the age of Mastra, and it provides critical features for long-term maintainability like a control plane for production monitoring and full data ownership. Its well-defined state management supports the auditability requirements common in enterprise systems. The known critical vulnerability requires immediate attention, but the framework's overall stability and clear licensing make it the appropriate choice for managing long-term risk.
Overview
The bottom line — what this framework is, who it's for, and when to walk away.
Bottom Line Up Front
Agno is a comprehensive runtime for developing, deploying, and managing scalable agentic software, including single agents, coordinated teams, and structured workflows. It provides a framework for building, a stateless FastAPI runtime for serving, and a control plane for production monitoring. Agno operates within the user's infrastructure, ensuring data ownership and auditability.
Mastra is a TypeScript framework designed for rapidly prototyping and deploying AI agents. It integrates with popular web frameworks and supports diverse applications like customer assistants, internal copilots, and data analysis.
Best For
Building, deploying, and managing scalable, production-ready agentic software and multi-agent systems.
Rapidly prototyping and deploying AI agents for integration into products or internal workflows.
Avoid If
Projects not requiring agentic capabilities, complex workflows, or preferring fully managed services.
no data
Strengths
- +Provides a complete runtime for agentic software, supporting agents, teams, and workflows.
- +Offers 100+ integrations for building agents with memory, knowledge, and guardrails.
- +Serves systems as scalable, stateless, session-scoped FastAPI backends for production.
- +Includes AgentOS UI for testing, monitoring, and managing systems in production.
- +Ensures per-user and per-session isolation with native tracing and full auditability.
- +Runs in user's infrastructure, providing full data ownership and control.
- +Enables rapid prototyping and confident deployment of AI agents.
- +Offers broad integration with popular JavaScript/TypeScript web frameworks like Next.js, React, and Express.
- +Supports a wide array of AI agent applications, including customer support, data analysis, and DevOps automation.
- +Provides quick project setup with a single command and ready-to-use templates for common use cases.
Weaknesses
- −The strong specialization in 'agentic software' may introduce complexity or be over-engineered for simpler, non-agentic applications.
- −Requires users to manage their own infrastructure, which adds operational overhead compared to a fully managed service.
- −Building and governing 'distributed, governed multi-agent systems' can entail a significant learning curve and implementation complexity.
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
State is managed as stateless, session-scoped operations, with sessions, memory, knowledge, and traces persisted in the user's database.
no data
Cost & Licensing
What does it actually cost? License type, pricing model, and hidden fees.
License
Perspective
Your expertise shapes what we build next.
We build for engineers who make real architectural decisions. If something is missing, inaccurate, or could be more useful — we want to hear it.
FrameworkPicker — The technical decision engine for the agentic AI era.