Brigade vs SuperAGI
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
A self-hosted personal AI crew of agents that share memory and talk through chat apps.
Open source · MIT
Open-source Python framework for building and running autonomous AI agents.
The short answer
Choose Brigade if you need…
- Developers who want to run their own multi-agent setup on a laptop or server
- People who want an AI assistant that keeps data on hardware they control
- Users who already have a Claude, ChatGPT, or Copilot subscription and want to avoid managing API keys
- Teams experimenting with agents that delegate tasks through an org chart
Choose SuperAGI if you need…
- Python developers experimenting with autonomous AI agents
- Teams exploring agent frameworks built around large language models
- People who want an MIT-licensed codebase they can read and modify
Side-by-side
| Brigade | SuperAGI | |
|---|---|---|
| Type | AI model / agent | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 11.4k | 17.7k |
| Setup difficulty | Intermediate | Advanced |
| How you get it | Install with a package manager | Clone and build from source |
| Main language | TypeScript | Python |
| Last code update | 4 days ago | 22 months ago |
What each one is
Brigade
Brigade is a self-hosted system for running a team of AI agents that share one long-term memory called Tideline. You can reach the crew from a terminal or messaging apps such as WhatsApp, Telegram, Slack, and Discord. It can use many AI model providers, including local Ollama models, and keeps your keys and data on your own machine.
SuperAGI
SuperAGI is an open-source Python project that describes itself as a framework for building, managing, and running autonomous AI agents. The description says it is aimed at developers who want to create agents that act on their own toward a goal. The README was not provided in usable form, so details beyond the project description and metadata could not be verified here.
Best for
Brigade
- Developers who want to run their own multi-agent setup on a laptop or server
- People who want an AI assistant that keeps data on hardware they control
- Users who already have a Claude, ChatGPT, or Copilot subscription and want to avoid managing API keys
- Teams experimenting with agents that delegate tasks through an org chart
SuperAGI
- Python developers experimenting with autonomous AI agents
- Teams exploring agent frameworks built around large language models
- People who want an MIT-licensed codebase they can read and modify
Strengths
Brigade
- Runs locally with keys stored on your machine, per the README
- Supports many model providers, including local Ollama, and lets you switch models mid-conversation
- Single data directory at ~/.brigade/ that is easy to inspect or delete
SuperAGI
- MIT license permits free use and modification
- Large community interest, with about 17.7k GitHub stars
- Written in Python, a widely used language for AI work
Not ideal for
Brigade
- People who want a polished consumer app with no setup, since the README describes it as an ecosystem you host yourself
- Anyone unwilling to run a command-line install and manage a local directory under ~/.brigade/
- Users who need guaranteed security review, since the README makes strong claims but this analysis did not verify them
SuperAGI
- Non-developers looking for a ready-made app, since the description targets developers
- Production users who need proven reliability, because the README could not confirm reliability claims and the last push date is January 2025
- People who need detailed setup instructions from this entry alone, since no install steps could be verified
Trade-offs
Brigade
- The README is long and marketing-heavy, so some claims about enterprise scale are not independently verified here
- Requires Node 22.12+ or the provided install script, and a permissions issue (EACCES) is mentioned for global npm installs
- Many features (channels, connectors, Convex backend) add setup complexity beyond basic chat
SuperAGI
- README content was unavailable, so features and setup cannot be confirmed
- Last push was 2025-01-22 and the latest release is v0.0.14, so maintenance activity is uncertain
- Autonomous agents built on LLMs can behave unpredictably and need careful supervision
Getting started
Brigade
Install via npm (if Node 22.12+ is already installed)
npm i -g @spinabot/brigademacOS / Linux install script
curl -fsSL https://brigade.spinabot.com/install.sh | shSuperAGI
Clone the repository
git clone https://github.com/TransformerOptimus/SuperAGIFrequently asked questions
What is the difference between Brigade and SuperAGI?
Brigade: A self-hosted personal AI crew of agents that share memory and talk through chat apps. SuperAGI: Open-source Python framework for building and running autonomous AI agents. Brigade suits developers who want to run their own multi-agent setup on a laptop or server, while SuperAGI suits python developers experimenting with autonomous ai agents.
Are Brigade and SuperAGI free?
Brigade: Free and open source. SuperAGI: Free and open source.
Which is easier to set up, Brigade or SuperAGI?
Brigade is easier to get started with (rated intermediate); SuperAGI is rated advanced and usually needs more setup.
Is Brigade or SuperAGI more popular?
SuperAGI has more GitHub stars (17.7k) than Brigade (11.4k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Brigade and SuperAGI?
Other options people compare them with include CrewAI, LangGraph, OpenHands, Hermes Agent, Edict.
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.