Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.

command line interface (CLI) to analyze and export imessage conversations into .csv files containing messages, timestamps, and IDs 📲

Python package based on Gibson's framework (2003) for turn-taking in group conversation analysis.

ALIGN 2.0: Modern Python package for multi-level linguistic alignment analysis. Faster, streamlined, and feature-rich while maintaining full compatibility with the original ALIGN methodology (Duran, Paxton, & Fusaroli, 2019). Recommended for all new projects. Original version: https://github.com/nickduran/align-linguistic-alignment

A modular framework for building psychologically-informed AI assistants. Processes real-life conversations and generates therapeutic responses using vector databases for knowledge management and retrieval.

MCP server for searching and analyzing Claude Code conversation history

🔍 Extract and analyze your Claude Code conversation history to discover usage patterns, generate insights, and create custom slash commands from your prompting style.

🧠 Automated AI conversation recording and knowledge management system with MCP integration for Claude Desktop, VSCode, and Cursor

ADR is a software that identifies and highlights agreements and disagreements in discussion forum messages as a response to the original post.

An intuitive conversation labeling tool for extracting insights from sales and customer interaction data, complete with customizable metrics and segmentation control.

🤖 Extract, analyze & search your ChatGPT conversations locally | Privacy-first tool for OpenAI ChatGPT data export processing | Python CLI with embeddings support

Social Epistemology via LCIM.

Automatic multi-metric evaluation of human-bot dialogues using LLMs (Claude, GPT-4o) across different datasets and settings. Built for the Artificial Intelligence course at the University of Salerno.

Twitter/X reply scraper with sentiment analysis

CallAnnotate — контейнеризованная система автоматической обработки телефонных разговоров, обеспечивающая диаризацию спикеров, распознавание речи, интеграцию с CardDAV, транскрипцию и формирование структурированных JSON-отчётов. Предоставляет REST и WebSocket API для интеграции.

Automatic multi-metric evaluation of human-bot dialogues using LLMs (Claude, GPT-4o) across different datasets and settings. Built for the Artificial Intelligence course at the University of Salerno.

Tool for interviewers to convert common subtitle files (such as created by Whisper or CapsWriter AI) to interview transcripts by assigning speakers to segments. Supported import file formats are SRT, TXT, JSON and TSV. Exported interview transcripts based on GAT2 convention.