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Phidata

Multimodal AI agent framework with built-in memory, knowledge & pre-built agents

4.4(567 reviews)
open-sourceOpen source (MPL 2.0). Agno Cloud from $20/mo for hosted deployment.View full pricing →

Visit Phidata

https://phidata.app

About Phidata

Phidata (now Agno) is an open-source framework for building multimodal AI agents and teams. Unlike general frameworks, Phidata focuses on production-ready agents with built-in memory, knowledge, tools, and reasoning. It ships pre-built agents for financial analysis, research, data engineering, and coding — backed by Phidata's own PostgreSQL-powered memory and vector store. Phidata's architecture is simpler and faster than LangChain for teams that want agents without the complexity.

Key Features

Agent, Team, and Workflow primitives
Built-in memory (long-term + session)
Knowledge base with vector search (PgVector)
Multimodal: text, image, audio, video agents
Pre-built agents: financial, research, coding, data
Streaming responses with tool call visibility
Playground UI for testing agents
Agno Cloud for one-click deployment

Phidata Pros & Cons

Pros

  • +Simpler API than LangChain with fewer abstractions
  • +Built-in persistent memory via PostgreSQL
  • +Pre-built agent templates save significant setup time
  • +Multimodal from day one — handles images, audio natively
  • +Agno Cloud makes deployment genuinely easy

⚠️ Cons

  • Smaller community than LangChain or AutoGen
  • Rebranding from Phidata to Agno caused some confusion
  • Less ecosystem of third-party integrations
  • Enterprise docs less mature than competitors

Who Is Phidata Best For?

👤Teams wanting LangChain power with less boilerplate
👤Developers building financial or research AI agents
👤Anyone needing persistent memory with zero infrastructure setup
👤Multimodal agent projects processing images and documents

Tags

phidataagnoai agentsmultimodalopen-sourcememoryknowledge base
🏷️

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