Phidata (Agno)
Overview
Agno is an open-source Python framework and AgentOS runtime for building production multi-agent platforms with memory, knowledge, tools, teams, and 80+ REST API endpoints.
Phidata rebranded to Agno, an open-source Python framework for building multi-modal AI agent systems at production scale. Developers define agents, teams, and workflows in pure Python using ready-made primitives for LLM interfaces (30+ providers), memory, knowledge retrieval, tools (100+ integrations), multimodal I/O, and structured outputs. AgentOS runs the platform as a private runtime in your cloud with 80+ REST endpoints, session management, observability, and a control-plane UI — your data never leaves your environment. Agno targets product copilots, document processing pipelines, data labeling, synthetic data generation, and internal employee assistants. The framework emphasizes blazing-fast agent instantiation, model agnosticism, and swapping databases or vector stores without rewrites.
Product overview
Capabilities, pricing and fit
The former Phidata URL now resolves to Agno. The current product combines an agent framework with AgentOS for running and managing multi-agent systems.
Information as of July 30, 2026
What it can do
- Agent application development
Agno presents a framework and runtime for building, running, and managing multi-agent systems in a customer-controlled cloud.[1]
Where it fits best
- Developing and operating multi-agent systems in a controlled deployment.[1]
Important considerations
- The current product identity is Agno rather than Phidata.[1]
Sources (1)
- Agno: Agent Framework and High-Performance Runtime for Multi-Agent SystemsOfficial site · checked 2026-07-30
Autonomy level
81/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Phidata (Agno):
- Building multi-agent systems in Python with memory, knowledge bases, and tool use.
- Deploying agent platforms as production REST APIs via AgentOS in your own cloud.
- Creating teams of collaborating agents with sessions, state, and observability built in.
- Integrating 30+ LLM providers and 100+ tools without vendor lock-in.
- Shipping product copilots, document pipelines, and internal assistants with full data ownership.
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Pricing model:
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Popularity level: 75%
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