Phidata
ActiveDescription
Phidata is a framework for building AI agents with memory, knowledge, and tool integration to make agents more capable and useful.
Phidata is a framework for building AI agents with memory, knowledge, and tool integration to make agents more capable and useful.
A flexible multi-interface AI agent framework supporting reasoning, tool use, memory, deep research, blockchain interaction, and MCP protocol, capable of building agent applications ranging from simple conversations to complex research tasks.
Lightweight AI agent framework with built-in memory, tool calling, and tree-of-thought reasoning, supporting multi-agent collaboration and self-learning, compatible with OpenAI, DeepSeek, Qwen, and other major LLMs with MCP/SSE protocol integration.
A GenAI application development framework that simplifies agent interaction with structured data and chained-calls syntax, using event-driven flow for complex logic.
Atomic Agents is a modular AI agent building framework with an atomic design philosophy, providing composable components including tools, pipelines, and memory management for constructing agent systems.