Best CrewAI Alternatives in 2026: 12 Agent Frameworks Compared

By Camellia · Updated Nov 3, 2026

If you want more control over agent state than CrewAI's crews give you, start with LangGraph. For a lighter Python or TypeScript build, look at the OpenAI Agents SDK or Pydantic AI. For a .NET or enterprise Microsoft stack, Microsoft Agent Framework is the answer, and for TypeScript-only teams it's Mastra. This list covers 12 options, judged on published license, language, GitHub activity and the pricing each vendor puts on its own page.

CrewAI is a good framework with a clear idea: you describe agents as roles, give them tasks, and let them hand work to each other. People leave for ordinary reasons. They want graph-level control over execution, a language other than Python, a vendor with a bigger balance sheet behind it, or no framework at all. For the wider landscape, see our roundups of multi-agent frameworks and AI agent frameworks for developers.

Key Facts

• CrewAI's GitHub repository shows 60.4k stars, 9.0k forks and an MIT license, so licensing isn't a reason to leave.
• CrewAI's pricing page lists two plans: a free plan with 50 workflow executions a month and 2 automations, and a custom-priced Enterprise plan.
• Microsoft Agent Framework reached version 1.0 on April 3, 2026 for .NET and Python, combining Semantic Kernel's foundations with AutoGen's orchestration.
• Microsoft's AutoGen README says the project is archived and that Microsoft is not providing bug fixes, security fixes, new features or support.
• LangGraph (44.3k stars) describes itself as a low-level orchestration framework for stateful agents, the opposite end of the abstraction spectrum from CrewAI's role-based crews.

Quick Comparison Table

Where CrewAI Stands Today

CrewAI's own documentation frames the product around two ideas. Flows are the backbone of an application, defining steps, state and control flow. Crews are teams of autonomous agents, each with a role, a goal and tools, that a Flow delegates complex tasks to. The docs recommend starting with a Flow for production apps and using Crews inside Flow steps where a team of agents helps.

The commercial side is narrower than most roundups assume. The pricing page shows a free plan with 50 workflow executions a month and 2 automations, and an Enterprise plan with custom pricing. Enterprise adds SSO (Microsoft Entra, Okta), role-based access control, PII redaction, policies, and a choice of CrewAI cloud, dedicated VPC or your own infrastructure. The page doesn't state a billing term or per-seat price for either plan.

If your team needs to run production crews and hits the 50-execution cap, you're in an Enterprise sales conversation, not a self-serve upgrade. That's a real reason to price out the open-source route or a competitor. Our step-by-step CrewAI build tutorial shows what the framework looks like in practice.

Language and Licensing, Side by Side

Stars track age and marketing reach more than fit, so treat them as a rough maintenance signal. The one license difference worth reading twice is n8n's: its repository describes it as fair-code under the Sustainable Use License plus an Enterprise License, which isn't the same as MIT or Apache for commercial redistribution. Mastra's repository is Apache 2.0 for the core, with code in ee/ directories under a Mastra Enterprise License that needs a valid license for production use.

Maintenance and Activity

1. LangGraph: Explicit Control Over State and Flow

LangGraph is the usual first stop for teams that outgrow CrewAI's role metaphor. Its repository calls it a low-level orchestration framework for stateful agents. You define nodes and edges, decide exactly when control passes between them, and keep state explicit. That's more code than a crew definition, and it's also why debugging is easier when an agent loops or stalls.

The paid layer is LangSmith, not LangGraph. LangChain's pricing page lists Developer at $0 per seat per month with 5,000 base traces, Plus at $39 per seat per month with 10,000 base traces, and a custom annual Enterprise plan. Our LangGraph build guide walks through a first graph.

2. OpenAI Agents SDK: Lightweight Multi-Agent Workflows

The OpenAI Agents SDK describes itself as a lightweight, powerful framework for multi-agent workflows. It has fewer concepts to learn than CrewAI, and it's MIT-licensed with about 30.5k stars. The framework itself is free; your cost is model calls. Our OpenAI agents guide covers the migration from the older Assistants API.

3. Microsoft Agent Framework: The Enterprise Successor

Microsoft's 1.0 announcement dated April 3, 2026 says the framework unifies Semantic Kernel's enterprise-ready foundations with AutoGen's orchestrations in one open-source SDK for .NET and Python. Its repository is MIT-licensed and describes support for building, orchestrating and deploying agents and multi-agent workflows.

If you were weighing CrewAI against AutoGen, note that the AutoGen README says the project is archived, that Microsoft isn't providing fixes or support, and that Microsoft Agent Framework is its enterprise-ready successor.

4. Google ADK: Code-First Agents With Evaluation Built In

Google's Agent Development Kit for Python is an Apache 2.0, code-first toolkit for building, evaluating and deploying agents. It has about 22.1k stars. It's free to use; any deployment cost comes from the infrastructure you run it on. Choose it if evaluation is a first-class requirement or you already deploy on Google Cloud.

5. Pydantic AI: Typed Agents in Python

Pydantic AI is MIT-licensed and describes itself as typed end to end, covering agents, realtime voice, image generation and embeddings across models. If your team already trusts Pydantic for validation, the mental model carries over. It's a better fit for a single well-typed agent than for CrewAI-style crews of many roles.

6. Mastra: TypeScript-Native Agents

Mastra calls itself the modern TypeScript framework for AI-powered applications and agents. It's the clearest pick if CrewAI's Python-only nature is your blocker. Its pricing page lists a Starter plan at $0 per month and a Teams plan at $250 per month, plus custom Enterprise, all metered on observability events, CPU time and storage.

Self-hosting the open-source framework is free; a self-hosted Enterprise tier is custom-priced with a flat annual fee, according to the same page.

7. Agno: Fast Python Agent Builds

Agno is Apache 2.0 with about 43.0k stars and calls itself a self-driving agent platform. It's a direct Python rival for CrewAI with a different structure and a growing community. Evaluate it if CrewAI's abstractions feel heavy for the agent you're shipping.

8. Strands Agents: Model-Agnostic and Bedrock-Friendly

The Strands Agents SDK is Apache 2.0 and supports Python and TypeScript. Its README lists first-class support for Amazon Bedrock, Anthropic, OpenAI and Gemini, with Ollama in the quickstart and custom providers possible. At about 9.0k stars it's smaller than the others, but it fits AWS-leaning teams well.

9. LlamaIndex: Agent Workflows Around Documents

LlamaIndex has about 52.8k stars and an MIT license. Its repository now describes it as a document processing platform for AI, with an open-source framework for agentic apps. Pick it when your agents mostly read, parse and retrieve documents. See our LlamaIndex alternatives and LangChain vs LlamaIndex comparisons.

10. AG2: The Community Continuation of AutoGen

AG2 is Apache 2.0 and describes itself as formerly AutoGen. It has about 5.0k stars and 5,665 commits. It suits teams that already built on AutoGen's conversational multi-agent model and want to keep that API outside Microsoft's roadmap.

11. smolagents: Minimal Agents That Write Code

Hugging Face's smolagents is Apache 2.0, has about 30.2k stars, and describes itself as a barebones library for agents that think in code. It's the smallest option here, which is the point. Use it to learn or to keep a dependency footprint tiny.

12. n8n: Visual Workflows With AI Steps

n8n isn't an agent framework in the code sense. It's a fair-code workflow platform with native AI capabilities, 209.4k stars, and a Sustainable Use License. It's the pick for teams who like CrewAI Studio's visual angle but want broader automation. Its pricing page lists cloud plans billed annually: Starter at 20 EUR per month with 2.5K executions, Pro at 50 EUR per month with 10K executions, and Business at 667 EUR per month with 40K executions (self-hosted only, per the page). No monthly-billed prices are listed. Our n8n agent guide shows a build.

What the Paid Layer Costs

Most of these frameworks are free. The bill comes from observability, hosting or model calls, so size the meter against your real volume. If tracing is your bottleneck, our LLM observability roundup prices the options.

How to Choose: Decision Framework

Frequently Asked Questions

What to Do Next

Pick two candidates from the decision table and build the same small workflow in each. Measure how much time goes to fighting the framework versus building your product. If neither wins, call the provider SDK directly.