Characterfile

The goal of this project is to create a simple, easy-to-use format for generating and transmitting character files. You can use these character files out of the box with Eliza or other LLM agents.

Getting Started - Generate A Characterfile From Your Twitter

1. Open Terminal. On Mac, you can press Command + Spacebar and search for "Terminal". If you're using Windows, use WSL2
2. Type npx tweets2character and run it. If you get an error about npx not existing, you'll need to install Node.js
3. If you need to install node, you can do that by pasting curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash into your terminal to install Node Version Manager (nvm)
4. Once that runs, make a new terminal window (the old one will not have the new software linked) and run nvm install node followed by nvm use node
5. Now copy and paste npx tweets2character into your terminal again.
6. NOTE: You will need to get a Claude or OpenAI API key. Paste that in when prompted
7. You will need to get the path of your Twitter archive. If it's in your Downloads folder on a Mac, that's ~/Downloads/.zip
8. If everything is correct, you'll see a loading bar as the script processes your tweets and generates a character file. This will be output at character.json in the directory where you run npx tweets2character. If you run the command cd in the terminal before or after generating the file, you should see where you are.

Schema

The JSON schema for the character file is here. This also matches the expected format for OpenAI function calling.

Typescript types for the character file are here.

Examples

Example Character file

Basic example of a character file, with values that are instructional examples/example.character.json

Basic Python Example

Read the example character file and print the contents examples/example.py

Python Validation Example

Read the example character file and validate it against the JSON schema examples/validate.py

Basic JavaScript Example

Read the example character file and print the contents examples/example.mjs

JavScript Validation Example

Read the example character file and validate it against the JSON schema examples/validate.mjs

Scripts

You can use the scripts the generate a character file from your tweets, convert a folder of documents into a knowledge file, and add knowledge to your character file.

Most of these scripts require an OpenAI or Anthropic API key.

tweets2character

Convert your twitter archive into a .character.json

First, download your Twitter archive here: https://help.x.com/en/managing-your-account/how-to-download-your-x-archive

You can run tweets2character directly from your command line with no downloads:

npx tweets2character

Note: you will need node.js installed. The easiest way is with nvm.

Then clone this repo and run these commands:

npm install
node scripts/tweets2character.js twitter-2024-07-22-aed6e84e05e7976f87480bc36686bd0fdfb3c96818c2eff2cebc4820477f4da3.zip # path to your zip archive

Note that the arguments are optional and will be prompted for if not provided.

folder2knowledge

Convert a folder of images and videos into a .knowledge file which you can use with Eliza. Will convert text, markdown and PDF into normalized text in JSON format.

You can run folder2knowledge directly from your command line with no downloads:

npx folder2knowledge <path/to/folder>

npm install
node scripts/folder2knowledge.js path/to/folder # path to your folder

Note that the arguments are optional and will be prompted for if not provided.

knowledge2character

Add knowledge to your .character file from a generated knowledge.json file.

You can run knowledge2character directly from your command line with no downloads:

npx knowledge2character <path/to/character.character> <path/to/knowledge.knowledge>

npm install
node scripts/knowledge2character.js path/to/character.character path/to/knowledge.knowledge # path to your character file and knowledge file

Note that the arguments are optional and will be prompted for if not provided.

License

The license is the MIT license, with slight modifications so that users are not required to include the full license in their own software. See LICENSE for more details.