Everything in the catalog

Framework for AI agents and multi-agent networks where a router picks which agent runs, with tools and MCP support.

Low-code Python framework for YAML-defined agents and multi-agent Cogs, with personas, prompt templates and memory nodes.

JavaScript framework for multi-agent teams whose tasks move across a Kanban-style board you can watch.

SDK for building durable, responsive services, including agentic AI services, that cluster automatically and deploy to any infrastructure.

Python framework for autonomous agents that work in a sandboxed workspace, and task agents with tools and MCP support.

Python framework for MCP-based agents with composable workflow patterns, MCP server creation and Temporal-backed durable execution.

Experimental Python library that teaches agent handoffs on the Chat Completions API; OpenAI now points users to its Agents SDK.

Go framework for multimodal AI agents with models, tools, memory, middleware, chains and structured output.

Python multi-agent framework that gives LLM agents software-company roles and SOPs to turn a one-line requirement into a project repository.

Lightweight Python framework for LLM agents built as PyTorch-style layers, with agent memory kept as session state.

Framework for building, running and evaluating autonomous agents, with a planner-based multi-agent mode, skills and agent RL training.