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ActiveDeveloperOpen Source, Apache-2.0

Agno (Phidata)

Agent framework, runtime environment

Agno, formerly Phidata, is a Python framework for agents and multi-agent teams with memory, knowledge bases and guardrails. AgentOS lets you serve agents as an API in your own cloud, and a control plane is used for testing, tracing and monitoring. The framework is licensed under Apache 2.0, while the hosted control plane is paid.

Position on the system map50 systems
Scalability, upwardsusable without developers, to the right

Good fit if

Focus: Teams and developers who want to deploy secure, scalable multi-agent systems in production.

  • your project is about Building self-learning agents, Running agents as scalable APIs or Monitoring and managing agent systems
  • someone on your team writes code

Probably not if

  • nobody on your team writes code (1/5 for use without developers)
  • your team is just getting started with agents (skill level: Advanced)
  • there is little time for training (learning curve: steep)

Key figures

Usable without developers
1/5
Scalability
5/5
Integrations
3/5
Versioning
3/5
Observability
4/5

Editorial rating on a scale from 1 to 5. Methodology

Fact sheet

Category
Developer
Type
Agent framework, runtime environment
Licence
Open Source (Apache-2.0)
Pricing
FreemiumFree: framework and local AgentOS control plane, community support. Pro: $150/month with 3 seats and 1 live connection, basic RBAC and email support; extra seat $30, extra live connection $95, SAML SSO $300 per month. Enterprise: custom pricing.
Deployment
Cloud, Self-Hosted
Models
Modellunabhängig (u. a. OpenAI, Anthropic, Google, Ollama)
RAG
Yes
Multi-Agent
Yes
SSO, roles (RBAC)
SSO yes, RBAC yes
Latest version
3.1.2
GitHub stars
42,600

Key features

  • Agent framework (self-learning agents, memory, knowledge, guardrails)
  • Production runtime (AgentOS)
  • Built-in control plane (chat, trace, monitor)
  • Secure and private (JWT, RBAC, request-level isolation)

Typical use cases

  • Building self-learning agents
  • Running agents as scalable APIs
  • Monitoring and managing agent systems

Implementation

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