What do you want to do?
4 use cases
-
Run a persistent AI bot on your own computer
Install Rakazo with published Docker images and chat with a bot that keeps its own memory.
- Rakazo
- Personal productivity
- Intermediate
View prompt
In the Rakazo repo at https://github.com/elie222/rakazo, follow the Quick start (published images) section to install Rakazo into a folder named <target-folder> on this machine. Report the local URL and confirm that http://127.0.0.1:5173 loads a sign-in page. Verify that the .env file was created in <target-folder> with random secrets.
-
Give a bot access to apps through MCP or OpenAPI
Add your own HTTPS MCP server, Treg endpoint, or OpenAPI document as a tool source for a bot.
- Rakazo
- Personal productivity
- Intermediate
View prompt
In the Rakazo repo at https://github.com/elie222/rakazo, use the Integrations area of a running instance at <instance-url> to add the HTTPS MCP server <mcp-url> as a tool source. Report the tool source name and one tool it exposes. Verify that a test bot request uses the tool and returns a result.
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Build and run Rakazo from a source checkout
Clone the repo, set up the database, and start the dev stack to change the code.
- Rakazo
- Personal productivity
- Advanced
View prompt
In the Rakazo repo at https://github.com/elie222/rakazo, follow the Local development (source checkout) section to get the dev stack running on this machine. Report the Node.js and pnpm versions used and whether pnpm dev started. Verify that http://127.0.0.1:5173 responds before reporting success.
How to use Rakazo
- Check you have what it needs: Docker Engine and the Compose plugin; curl and OpenSSL; A model provider account or key, such as an OpenRouter API key or a supported provider connected during onboarding.
- Open elie222/rakazo on GitHub and read the README and license.
- Install Docker Engine and the Compose plugin, and confirm curl and OpenSSL are available.
- Run
mkdir -p rakazo && cd rakazo && curl -fsSLO https://raw.githubusercontent.com/elie222/rakazo/main/infra/compose/install-images.sh && bash install-images.sh(inferred, check the README) - Open http://127.0.0.1:5173, create an account, and connect a model.
- Create your first bot and send it a message in its chat.
These steps come from our top use case, Run a persistent AI bot on your own computer, which also has a copy-paste agent prompt.
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About this repo
- Who it is forWritten for people who want a self-hosted alternative to hosted AI assistants and for developers who want to run or change the stack.
- Why it is hot
- LanguageTypeScript
- Sourcegithub.com/elie222/rakazo · Back to Hot repos
Requirements
- Docker Engine and the Compose plugin
- curl and OpenSSL
- A model provider account or key, such as an OpenRouter API key or a supported provider connected during onboarding
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Questions about Rakazo
What is Rakazo?
Rakazo is an open source, self-hosted AI agent platform for persistent bots, available on the web, Electron desktop, iPhone, and Android, where you bring your own model and computer provider. It is an open-source project on GitHub: https://github.com/elie222/rakazo.
Who is Rakazo for?
Written for people who want a self-hosted alternative to hosted AI assistants and for developers who want to run or change the stack.
What can I do with Rakazo?
4 use cases so far, for example: Run a persistent AI bot on your own computer; Host a shared bot team on a VPS with HTTPS; Give a bot access to apps through MCP or OpenAPI. Each has steps and a copy-paste agent prompt.
What do I need to run Rakazo?
Docker Engine and the Compose plugin; curl and OpenSSL; A model provider account or key, such as an OpenRouter API key or a supported provider connected during onboarding.
What are alternatives to Rakazo?
Other hot AI repos in Personal productivity: Abacusai Bot, Unigit Ecosystem, Comma, Agent Peer Chat, Compass.
Is Rakazo safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.