AI · GitHub repo
phidata
Python framework for building multi-modal AI agents with memory and tools
Phidata (now rebranded as Agno) is an open-source Python framework designed to build, run, and monitor autonomous AI agents. It provides built-in support for tool use, agentic RAG, multi-agent orchestration, structured Pydantic outputs, and an interactive local UI playground.
What it's for
- Build multi-agent teams that coordinate across web search and data analysis
- Query custom documents using Agentic RAG without stuffing context into prompts
- Interact with and debug running agents using a local Agent UI playground
- Extract structured data from models using Pydantic schemas
Features
- Multi-agent team orchestration
- Multi-modal input support including text, images, audio, and video
- Agentic RAG with integrated vector database connectors like LanceDB
- Web-based Agent UI playground for local chat and testing
- Pydantic-based structured output generation
- Built-in session monitoring and CLI debugging mode
- Experimental reasoning mode for step-by-step problem solving
Pricing
Open source. Free and open source under the Mozilla Public License 2.0.
Details
- Type
- GitHub repo
- Category
- AI
- Topic
- AI Agents
- Open source
- Yes
- Platforms
- Code library, Linux, macOS, Windows
- For
- Python developers and AI engineers building multi-agent or tool-augmented LLM systems.
- Alternative to
- LangChain, CrewAI, AutoGen, LlamaIndex
- Tags
- python, llm, agents, rag, multi agent, agno
Why it was saved
- @ashpreetbedi: Turns any LLM into an agent in ~10 lines of code; thread examples show a finance agent using YFinance tools and a reasoning agent built by setting reasoning=True.
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