CrewAI vs Edict
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
Multi-agent AI system modeled on China's Tang-era governance, with a live task dashboard, requires OpenClaw.
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 Edict if you need…
- Developers already running OpenClaw who want a multi-agent workflow with visible task history
- People who want a review step before agent output is executed, as the README describes
- Teams who want to watch and pause agent tasks from a dashboard
- Users who want to switch the LLM model used by each agent from a UI
Side-by-side
| CrewAI | Edict | |
|---|---|---|
| Type | Library | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 60.4k | 17k |
| Setup difficulty | Intermediate | Advanced |
| How you get it | Install with a package manager | Clone and build from source |
| Main language | Python | Python |
| Last code update | 4 days ago | 39 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.
Edict
Edict is a set of about 12 AI agents arranged in roles borrowed from an ancient Chinese imperial administration: one sorts incoming requests, others plan, review, and dispatch work, and six execution departments carry it out. A web dashboard shows tasks on a kanban board, agent health, token usage, and an audit trail of each task's path. It is built to run on top of OpenClaw, which the README lists as a requirement.
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
Edict
- Developers already running OpenClaw who want a multi-agent workflow with visible task history
- People who want a review step before agent output is executed, as the README describes
- Teams who want to watch and pause agent tasks from a dashboard
- Users who want to switch the LLM model used by each agent from a UI
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
Edict
- Dashboard shows task status, heartbeats, and full task history in one place
- README describes a review stage that can send work back for rework before execution
- Configuration is set up by an install script and can run as a systemd service
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
Edict
- People without OpenClaw installed, since the README lists it as required and the dashboard depends on it for live data
- Non-technical users, because setup involves shell scripts, API keys, and an agent configuration
- Anyone needing Windows support, since the README lists macOS and Linux as the prerequisites
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
Edict
- Depends on OpenClaw, so it is not useful on its own without that separate system
- README is written mainly in Chinese, and the English README is a separate file the excerpt did not include
- No formal release is listed, and some claims in the README (such as comparisons with other frameworks) are the author's own
Getting started
CrewAI
Install CrewAI (from PyPI, per the project's PyPI badge)
pip install crewaiEdict
Clone the repository
git clone https://github.com/cft0808/edict.gitEnter the project folder
cd edictFrequently asked questions
What is the difference between CrewAI and Edict?
CrewAI: Python framework for building teams of role-playing AI agents that work together on tasks. Edict: Multi-agent AI system modeled on China's Tang-era governance, with a live task dashboard, requires OpenClaw. CrewAI suits python developers prototyping multi-agent workflows, while Edict suits developers already running openclaw who want a multi-agent workflow with visible task history.
Are CrewAI and Edict free?
CrewAI: Free and open source. Edict: Free and open source.
Which is easier to set up, CrewAI or Edict?
CrewAI is easier to get started with (rated intermediate); Edict is rated advanced and usually needs more setup.
Is CrewAI or Edict more popular?
CrewAI has more GitHub stars (60.4k) than Edict (17k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to CrewAI and Edict?
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.