CrewAI vs Eliza
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Python framework for building teams of role-playing AI agents that work together on tasks.
Open source · MIT
An open-source TypeScript framework and app stack for building autonomous AI agents.
The short answer
Choose CrewAI if you need…
- Python developers prototyping multi-agent workflows
- Teams that want role-based agents collaborating on a task
- Developers who want both autonomous agent teams and tighter step-by-step control via Flows
- Builders who want low-level control over prompts and execution logic
Choose Eliza if you need…
- Developers who want to build AI agents or plugins in TypeScript
- People who want a personal AI assistant they can run on their own hardware or with their own provider keys
- Teams experimenting with local inference using the Eliza-1 on-device path
- Builders who want a modular plugin system for actions, providers, and services
Side-by-side
| CrewAI | Eliza | |
|---|---|---|
| Type | Library | Framework |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 60.4k | 19.8k |
| Setup difficulty | Intermediate | Advanced |
| How you get it | Install with a package manager | Clone and build from source |
| Main language | Python | TypeScript |
| Last code update | 4 days ago | 4 days ago |
What each one is
CrewAI
CrewAI is an open-source Python framework for orchestrating multiple AI agents. You give each agent a role and goal, and they collaborate through what the project calls Crews, while Flows provide event-driven, more precisely controlled workflows. It is aimed at developers building multi-step automations with LLMs.
Eliza
elizaOS is an open-source TypeScript project for running autonomous AI agents. It includes a core runtime, a user-facing Eliza app for web, desktop, and mobile, a command-line tool, cloud services, and first-party plugins that add abilities such as chat, memory, messaging connectors, and browser automation. The README describes it as model-agnostic, so it can use local models or hosted model providers.
Best for
CrewAI
- Python developers prototyping multi-agent workflows
- Teams that want role-based agents collaborating on a task
- Developers who want both autonomous agent teams and tighter step-by-step control via Flows
- Builders who want low-level control over prompts and execution logic
Eliza
- Developers who want to build AI agents or plugins in TypeScript
- People who want a personal AI assistant they can run on their own hardware or with their own provider keys
- Teams experimenting with local inference using the Eliza-1 on-device path
- Builders who want a modular plugin system for actions, providers, and services
Strengths
CrewAI
- Open source under the MIT license with an active repository
- Offers both autonomous Crews and deterministic event-driven Flows
- Includes documentation, courses, and an official skills package for coding agents
Eliza
- Open source under the MIT license, with a public repository and documentation links
- Model-agnostic design that supports local, direct-provider, or cloud model backends
- Modular plugin structure with documented component types and a clear package layout
Not ideal for
CrewAI
- Non-programmers, since the project is a Python framework and requires writing code
- Projects needing a fully managed hosted product without setup; the README's commercial AMP Suite is a separate paid offering
- Simple single-prompt tasks that do not need multiple agents or workflow control
Eliza
- Beginners who want a simple one-click chat app: the repository setup assumes Bun, Node versions, and command-line work
- People who need a stable, minimal library: the README describes a large monorepo with many packages and optional cloud services
- Anyone who wants to submit third-party plugins: the README says third-party plugins and registry listings are no longer accepted
Trade-offs
CrewAI
- The README's performance and 'production-ready' claims are promotional and not backed by benchmarks in the excerpt
- Core concepts (Crews, Flows, Agents) add a learning curve for newcomers
- Some advanced features and a control plane are part of a commercial suite
Eliza
- Large, fast-changing monorepo; the README is truncated and some capabilities depend on OS, permissions, and installed plugins
- Contribution rules are strict and the project does not accept third-party plugins
- Some features such as live benchmarks may incur model provider costs
Getting started
CrewAI
Install CrewAI (from PyPI, per the project's PyPI badge)
pip install crewaiEliza
Clone the repository
git clone --filter=blob:none https://github.com/elizaos/eliza.gitEnter the folder
cd elizaFrequently asked questions
What is the difference between CrewAI and Eliza?
CrewAI: Python framework for building teams of role-playing AI agents that work together on tasks. Eliza: An open-source TypeScript framework and app stack for building autonomous AI agents. CrewAI suits python developers prototyping multi-agent workflows, while Eliza suits developers who want to build ai agents or plugins in typescript.
Are CrewAI and Eliza free?
CrewAI: Free and open source. Eliza: Free and open source.
Which is easier to set up, CrewAI or Eliza?
CrewAI is easier to get started with (rated intermediate); Eliza is rated advanced and usually needs more setup.
Is CrewAI or Eliza more popular?
CrewAI has more GitHub stars (60.4k) than Eliza (19.8k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to CrewAI and Eliza?
Other options people compare them with include LangGraph, LlamaIndex, Semantic Kernel, PageIndex, Stagehand.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.