Phidata

Open-source framework for building multi-modal AI agents with memory and tools

★★★★☆ Open Source 🤖 AI Agents & Automation
Phidata is an open-source Python framework for building AI agents and multi-agent systems with built-in memory, knowledge, and tool-use capabilities. It provides a structured way to define agents with specific roles, connect them to data sources, and coordinate them in agentic workflows. AI engineers building research agents, data analysis pipelines, and autonomous task completion systems use Phidata for its clean Python API and production-ready components. The framework handles the common patterns (tool calling, memory management, context window optimization) that developers otherwise build from scratch. Phidata's agent-native design (everything is an agent with memory, knowledge, and tools) provides a more consistent programming model than general LLM frameworks. Its growing library of pre-built agents and tools for common tasks accelerates development.

What the community says

AI engineers on Reddit r/AI_Agents and GitHub appreciate Phidata's clean Python API and agent-native design. Frequently discussed alongside LangChain and LlamaIndex as a more opinionated alternative. Based on community discussions from Reddit and GitHub.

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