“React”

Open-source SDK that connects AI agents to app front ends with chat UI, generative UI, shared state and human approvals; creator of the AG-UI protocol.

TypeScript SDK for streaming chat, tool-calling agents and structured output across model providers and UI frameworks.

Event-sourced Python graph runtime where agent behaviors react to a shared graph, with an audit trail and fork-and-diff replay.

TypeScript framework for AI agents and apps with graph-based workflows, memory, suspend-and-resume approvals, MCP servers and model routing.

TypeScript toolkit for AI apps and agents with a unified provider API, streaming, UI hooks and a wrapper for running established agent harnesses.

Python agent framework from Alibaba that lets the model drive tool use, with team pipelines, MCP, agent skills, A2A, memory and tracing.

Python library for autonomous agents that run scheduled tasks and exchange messages on the Fetch.ai network.

Rust multi-agent framework with typed tool calling, sliding-window memory, pluggable LLM backends and OpenTelemetry tracing.

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

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