Agent

Framework for multi-agent "crews" with roles and tools for collaborative tasks.

Microsoft framework for multi-agent conversations, workflows, and tool use.

Lightweight open-source flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic, deployment-agnostic, and is built for compatibility with other frameworks

Graph-based orchestration framework for building stateful, controllable LLM agents as nodes and edges.

Type-safe agent framework from the Pydantic team with structured outputs and validation-first design.

Stanford framework for programming LLMs declaratively with signatures, modules, and prompt optimizers.

Performance-oriented multi-agent framework with built-in memory, knowledge, and multi-modal support.