Agentic Frameworks

Multi-agent conversation framework enabling agents to chat with each other to solve tasks. Supports customizable agents, human participation, and diverse conversation patterns.

Role-based multi-agent framework where you define agents with specific roles, goals, and backstories. Agents collaborate to complete complex tasks through delegation and tool use.

Framework for building stateful, multi-agent applications as graphs. Supports cycles, persistence, human-in-the-loop, and streaming. The agent orchestration layer of the LangChain ecosystem.

Lightweight Python SDK for building agentic AI apps. Features agent handoffs, guardrails, tracing, and tool integration with a minimal abstraction layer over the OpenAI API.

Agent framework built on Pydantic for type-safe AI applications. Structured outputs, dependency injection, and model-agnostic design from the team behind Pydantic and FastAPI.

Minimalist agent library focused on code agents that write and execute Python. Simple API with tool calling, multi-step reasoning, and tight Hugging Face Hub integration.