Agno

Comparison Preset

VerdictAgno vs LlamaIndex · For Enterprises

Agno is the more suitable choice for an enterprise environment due to its explicit focus on production deployment, governance, and security. Its architecture provides a scalable FastAPI backend, a control plane for monitoring, and importantly, stores all state in your own database, ensuring data ownership and auditability. The Apache-2.0 license is also preferable for mitigating patent-related risks compared to LlamaIndex's MIT license. While LlamaIndex has wider community adoption, Agno's features are better aligned with long-term maintainability and stakeholder justification. Agno's high bus factor (8/10) and maintainer count help mitigate the risk of its smaller user base.

Overview

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

Bottom Line Up Front

Agno provides a production-grade runtime for building, deploying, and managing agentic software, from single agents to coordinated teams and workflows. It features a scalable, stateless FastAPI backend, robust state management in your database, and a control plane for monitoring and governance. It emphasizes user ownership of data and infrastructure.

LlamaIndex is a comprehensive framework for building LLM-powered agents and context-augmented applications that interact with custom data. It provides tools for data ingestion, indexing, querying, and orchestrating complex multi-step workflows.

Best For

Building, deploying, and managing scalable, production-ready agentic software, teams, and workflows.

Building LLM agents and context-augmented applications that query and interact with custom data sources.

Avoid If

no data

no data

Strengths

  • +Runtime specifically designed for agentic software, teams, and workflows.
  • +Includes memory, knowledge, guardrails, and over 100 integrations for agent development.
  • +Provides a stateless, horizontally scalable FastAPI backend for production deployment.
  • +Offers a control plane (AgentOS UI) for testing, monitoring, and managing systems in production.
  • +Supports per-user and per-session isolation with runtime approval enforcement.
  • +Features native tracing and full auditability.
  • +Stores sessions, memory, knowledge, and traces in the user's database, ensuring data ownership.
  • +Runs in the user's infrastructure, not Agno's.
  • +Provides a comprehensive framework for context-augmented LLM applications and agents.
  • +Offers extensive data connectors for ingesting various data sources and formats.
  • +Features flexible APIs that cater to both rapid prototyping and deep customization.
  • +Supports multi-step, event-driven workflows for complex agent orchestration, designed to be more flexible than graph-based approaches.
  • +Integrates observability and evaluation tools to support rigorous experimentation and monitoring of applications.

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

      721
      280

      Fit

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

      State Management

      State is managed externally in the user's database for sessions, memory, knowledge, and traces, with a stateless, session-scoped FastAPI backend.

      LlamaIndex manages conversational state for multi-message interactions and agent context across multi-step, event-driven workflows, enabling reflection and error-correction.

      Cost & Licensing

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

      License

      Apache-2.0
      MIT
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