Agent
Official SDKs and frameworks for building and running AI agents.
Open-source, code-first toolkit for building, evaluating, and deploying sophisticated multi-agent AI systems, optimized for Gemini but model- and deployment-agnostic.
Cloudflare's SDK for building and deploying stateful, persistent AI agents on Workers and Durable Objects, with built-in state, scheduling, WebSockets, MCP, and React hooks.
Provider-agnostic TypeScript toolkit for building AI-powered applications and agents across Next.js, React, Svelte, Vue, and Node.js.
Programming framework for agentic AI and multi-agent conversation patterns (now in maintenance mode).
TypeScript framework for building custom AI agents powered by Claude Code, supporting one-off queries, interactive client sessions, custom tools, and hooks.
Python framework for building custom AI agents on top of Claude Code, with query() for one-off tasks and ClaudeSDKClient for interactive sessions, custom tools, and hooks.
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
GitHub Action that runs Codex inside CI/CD workflows to review PRs or apply patches, with configurable sandbox privileges.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
Open-source 'docker agent' builder and runtime for declaring, running, and sharing multi-agent AI teams via YAML, with MCP tools and any LLM provider (formerly named cagent).
Open-source framework (with CLI and local dev UI) by Google's Firebase for building AI-powered and agentic apps in JavaScript, Go, and Python with a unified model interface, flows, and RAG.
An autonomous agent that conducts deep research on any data using any LLM provider.
The modern TypeScript framework for building AI-powered applications and agents — agents, workflows, RAG, evals, memory, and MCP in one stack.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Multi-language framework for building production AI agents and multi-agent workflows; successor to Semantic Kernel and AutoGen.
An open-source ML engineer agent that reads papers, trains models, and ships them, routing tool calls across the Hugging Face Hub, Jobs, and sandboxed execution.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
JavaScript/TypeScript framework for building multi-agent and voice agent workflows with handoffs, guardrails, and tracing.
Lightweight, provider-agnostic framework for building multi-agent workflows with tools, handoffs, guardrails, sessions, and tracing.
Official, type-annotated Python client library for the OpenAI REST API, with synchronous and asynchronous clients for the Responses, Chat Completions, and Realtime APIs.
A Python agent framework from the Pydantic team — type-safe, model-agnostic agents for production GenAI applications.
Model-agnostic SDK for orchestrating, building, and deploying AI agents and multi-agent systems.
A barebones Python library for building agents that think and act in code, with the `smolagent` and `webagent` CLIs for running multi-step and web-browsing agents.
An AWS-built, model-driven open-source SDK for building and running AI agents in a few lines of code, used in production by Kiro, Amazon Q, and AWS Glue.
Official Python and TypeScript library that integrates Stripe APIs into agent frameworks (OpenAI Agents SDK, LangChain, CrewAI, Vercel AI SDK) and MCP via function calling.
Open-source AI agents that penetration-test your own apps to find and fix vulnerabilities, integratable into CI.
Engineering-preview orchestrator that turns project work into isolated, autonomous Codex implementation runs by monitoring a board and spawning agents.