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The Stack · Alternatives

Strands Agents alternatives

The strongest open-source alternatives to Strands Agents for building AI agents — agent frameworks ranked by GitHub traction, each with a head-to-head.

Strands Agents (★ 6.3k) is AWS's model-driven agent SDK — give it a prompt and tools and let the model plan, call tools, and reflect in a loop. First-class Bedrock, MCP-native, OpenTelemetry tracing. If it is not the right fit, these 11 agent frameworks cover the same ground — AutoGen is the most-starred option below. Or browse the best agent frameworks and Strands Agents's own page.

1. AutoGen

★ 59k · Python

Microsoft's framework for multi-agent conversation, with a programming model for agents that talk to each other and tools. Best for conversational multi-agent.

Strands Agents vs AutoGen →

2. CrewAI

★ 54k · Python

Role-playing autonomous agents that collaborate as a 'crew' with defined roles, goals, and task delegation. Best for role-based multi-agent teams.

Strands Agents vs CrewAI →

3. LlamaIndex

★ 50k · Python

Data framework for connecting LLMs to private data — indexing, retrieval, and agentic RAG over your documents. Best for RAG.

Strands Agents vs LlamaIndex →

4. Agno

★ 41k · Python

Batteries-included agent runtime — built-in memory, knowledge/RAG, and AgentOS, a control plane you run in your own cloud. Formerly Phidata. Best for full-stack agents.

Strands Agents vs Agno →

5. LangGraph

★ 36k · Python

Graph-based orchestration for stateful, multi-actor agent workflows with explicit control flow and checkpointing. Best for stateful multi-agent workflows.

Strands Agents vs LangGraph →

6. DSPy

★ 35k · Python

Programming — not prompting — language models: compile declarative pipelines into optimized prompts/weights. Best for prompt optimization.

Strands Agents vs DSPy →

7. OpenAI Agents SDK

★ 27k · Python

OpenAI's lightweight agent framework — a small set of primitives (Agents, Handoffs, Guardrails, Sessions); provider-agnostic via LiteLLM. Evolved from Swarm. Best for minimal orchestration.

Strands Agents vs OpenAI Agents SDK →

8. Google ADK

★ 20k · Python

Google's Agent Development Kit — a code-first, model-agnostic toolkit for building, evaluating, and deploying multi-agent systems. Optimized for Gemini. Best for multi-agent systems.

Strands Agents vs Google ADK →

9. Pydantic AI

★ 18k · Python

Type-safe agent framework from the Pydantic team — structured outputs, dependency injection, and model-agnostic agents. Best for type-safe agents.

Strands Agents vs Pydantic AI →

10. Claude Agent SDK

★ 7.4k · Python

Anthropic's SDK for building agents on Claude — the harness behind Claude Code, with in-process tools, hooks, and an interactive client. Formerly the Claude Code SDK. Best for Claude-native agents.

Strands Agents vs Claude Agent SDK →

11. Cloudflare Agents

★ 5.2k · TypeScript

TypeScript-first SDK for stateful agents where each agent is a Durable Object — embedded SQLite, WebSockets, cron scheduling, and hibernation, running globally on Cloudflare's edge. Best for edge AI agents.

Strands Agents vs Cloudflare Agents →

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