Agent frameworks and SDKs are the foundation layer — orchestration, role-based multi-agent collaboration, tool calling, and state management. Most production agent systems in 2026 are built on one of the frameworks listed here.
Production multi-agent framework with 5K+ GitHub stars, role-based collaboration, async execution, and 1500+ company adoptions.
★ FeaturedStateful, graph-based agent workflow framework from LangChain.
Orchestrates multi-agent systems built on the OpenAI Assistants API with role-based collaboration.
Alibaba multi-agent framework with distributed deployment and fault tolerance for production use.
Official Claude SDK with tool use, computer control, and streaming for building Claude-native agents.
Event-driven multi-agent framework merged with Semantic Kernel for production workflows.
Managed AWS infrastructure for agents with Bedrock models, enterprise compliance, and auto-scaling deployment.
Production-ready AI orchestration framework focused on building customizable LLM applications and RAG pipelines.
Autonomous agent teams that collaboratively build software on GitHub.
No-code agent orchestration platform with visual workflow builder and enterprise deployment.
Lightweight multi-agent SDK with tracing and guardrails from OpenAI.
Production multi-agent framework with self-reflection, MCP integration, and workflow automation.
Microsoft enterprise SDK for Python, C#, and Java with modular plugins, memory, and goal planning.
Lightweight framework for agent handoffs, context variables, and function calling patterns from OpenAI.
AgentIndexed currently lists 14 frameworks & sdks, including CrewAI, LangGraph, Agency Swarm, AgentScope and more. Featured placements appear first, then all tools alphabetically.
Decide between code-first (Python/TypeScript) and declarative orchestration Check protocol support — MCP, tool calling, agent-to-agent messaging Weigh community size and production adoption before committing.
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