{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Phidata is a framework for building multi-modal agents that can use tools, maintain memory, and reason to accomplish tasks\u2014either individually or as coordinated teams.","skillfed_tags":["agent-framework","multi-agent-orchestration","agentic-rag"],"use_cases":["Build a web search agent that retrieves current information and includes sources in responses","Create a finance agent that queries stock data, analyst recommendations, and company news","Set up agentic RAG to let an agent search a knowledge base only when needed, reducing token usage","Orchestrate a team of agents to answer complex multi-domain questions","Deploy a multi-modal agent that understands images and takes actions based on visual input","Chat with agents via a web playground UI with persistent conversation history"],"what_it_does":"Phidata is a framework for defining and running agents\u2014autonomous programs that can call tools, maintain conversation history, and reason about tasks. You define an agent by specifying a language model, a set of tools it can invoke, and instructions it should follow. Agents can work alone or as teams, where a coordinator agent delegates to specialists. The framework supports text, images, audio, and video inputs, and includes built-in storage, vector databases for knowledge retrieval, and a web UI for interactive chat.\n\nThe core use case is building AI applications that go beyond simple prompt-response: agents that search the web, query financial data, retrieve documents from a knowledge base, or orchestrate multiple specialized agents to solve complex problems. Phidata handles the scaffolding\u2014tool calling, message history, structured outputs, and multi-agent routing\u2014so you focus on defining what each agent should do.","worth_installing":"Yes, with conditions. Phidata is production-stable and has low install friction, making it accessible for building agent-based applications. However, the dormant maintenance status (564 days since last release) means you should verify compatibility with your Python version and dependencies before committing to production use. The MPL 2.0 copyleft license requires you to open-source any modifications or derivative works. Install if you need a structured agent framework with multi-agent orchestration and built-in UI; skip if you require active maintenance or permissive licensing."},"id":"phidata","links":{"html":"https://skillfed.io/packages/phidata","md":"https://skillfed.io/packages/phidata.md","pypi":"https://pypi.org/project/phidata/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2025-01-27","license_spdx":null,"license_treatment":"copyleft","name":"phidata","python_support":"supports_current","summary":"Build multi-modal Agents with memory, knowledge and tools."},"popularity":{"monthly_downloads":161443,"position":10633,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.7.10"}