Report Abuse

Basic Information

Characterfile provides a simple, easy-to-use JSON format and tooling for generating, validating, and sharing character profiles that can be consumed by Eliza and other LLM agents. The repository includes a formal JSON schema and TypeScript types that define the character file structure, plus example character files and language-specific examples in Python and JavaScript. It supplies command-line scripts to automatically build character files from social data sources such as Twitter archives and WhatsApp chat exports, and to merge extracted knowledge into character files. The intent is to standardize how persona and contextual knowledge are represented so developers can generate interoperable character data for agent behaviour and for use with OpenAI function calling or other LLM integrations. The project documents installation and usage patterns, including API key requirements for OpenAI or Anthropic when needed.

Links

Categorization

App Details

Features
Formal JSON schema for character files and TypeScript type definitions for schema-aligned implementations. Example character JSON and example scripts in Python and JavaScript that demonstrate reading and validating character files. CLI-oriented scripts including tweets2character to convert a Twitter archive into a character.json, folder2knowledge to convert folders of documents and media into a normalized knowledge.json, knowledge2character to merge knowledge into a character file, and chats2character to process WhatsApp chat exports. Support for OpenAI and Anthropic API usage with a documented key lookup order and optional command-line arguments. Utilities include validation examples, conversion of markdown and PDF into text, and options for batch or directory processing.
Use Cases
This repository helps developers and researchers quickly produce structured persona files for conversational agents and experiments without handcrafting JSON. It automates extraction of persona signals from social exports and chat logs, normalizes disparate document formats into knowledge artifacts, and provides validation tools to ensure files match the expected schema. The scripts enable rapid iteration by producing character.json and knowledge.json artifacts usable with Eliza or other LLM integrations, reducing manual preprocessing work. By aligning the format with OpenAI function-calling expectations and offering examples in multiple languages, it eases integration into agent pipelines and promotes consistent behaviour reproduction and sharing across projects.

Please fill the required fields*