6 Repos
User interfaces designed for multi-turn dialogue with large language models, maintaining session state and context.
Distinct from Chatbot Interfaces: Existing candidates are either tied to specific platforms like Slack [f0_mt1] or are frontend kits [f0_mt5], whereas this is a general terminal-based conversational interface.
Explore 6 awesome GitHub repositories matching artificial intelligence & ml · Conversational AI Interfaces. Refine with filters or upvote what's useful.
Shell GPT is an AI-powered command-line interface that generates shell commands and source code from natural language prompts. It serves as a terminal-based tool for automating technical tasks, producing executable commands, and generating code snippets directly within the shell. The tool distinguishes itself through a read-eval-print loop for interactive chatting and the ability to maintain stateful conversational history via named sessions. It supports flexible backend routing, allowing users to connect to cloud-based APIs or local language model hosts for offline operation and data privacy
A terminal-based chat interface that maintains conversational history through session identifiers for context-aware technical exploration.
Wiseflow is an AI business process automation suite and an orchestration framework for coordinating multiple specialized AI agents. It functions as a multi-agent collaboration platform where autonomous agents can spawn new instances and request assistance to resolve complex technical blockers and business workflows. The system distinguishes itself through a browser-based task executor that uses anti-detection techniques to scrape data and perform actions on websites that block bots. It further differentiates its setup process by using a chat-based conversational interface to collect user cont
Implements a chat-based interface for natural language dialogue to collect user configuration and context.
Bella is an AI companion system featuring a conversational interface for interacting with local and cloud artificial intelligence models. It integrates a local model manager to automate the download and organization of machine learning weights and a speech-to-text transcription engine to enable hands-free interaction. The project includes an emotion visualization system that uses cross-fading video playback to represent the agent's internal state. This is driven by a state-driven emotion mapping system and an interaction-based affinity system that tracks user engagement frequency to trigger s
Provides a user interface designed for multi-turn dialogue with both local and cloud AI models.
freegpt-webui is a self-hosted web interface for interacting with large language models. It provides a chat-based frontend designed for communicating with GPT 3.5 and GPT 4 models. The application enables API keyless chat, allowing users to access conversational AI for text generation and information retrieval without providing or managing personal authentication keys. The system handles model integration through a reverse-proxy gateway and supports asynchronous stream processing for real-time text generation. User preferences and conversation history are persisted via client-side session st
Implements a user interface designed for multi-turn dialogue with large language models.
Geekai is a multi-model AI platform and SaaS framework designed to deploy and manage AI agents and multimodal models through a unified interface. It serves as a multimodal AI gateway, providing centralized access to large language models and generative tools for text, image, audio, and video production. The project functions as an AI agent orchestrator, allowing for the definition of specialized personas and the import of external workflows and knowledge bases. It distinguishes itself by providing a complete commercial service layer, including credit-based billing, subscription management, an
Implements user interfaces designed for multi-turn dialogue and role-playing with various large language models.
Dieses Projekt ist ein Framework für Konversationsschnittstellen und eine UI-Komponentenbibliothek, die für den Aufbau von Anwendungen mit Integration von Large Language Models entwickelt wurde. Es bietet eine standardisierte Provider-Integrationsschicht, um Frontend-Komponenten mit verschiedenen KI-Backends zu verbinden, sowie eine dedizierte Response-Rendering-Engine zur Anzeige generierter Inhalte. Das Framework ist auf hybride generative UI-Komposition spezialisiert und verbindet traditionelle interaktive Elemente mit dynamischen Modellausgaben. Es verfügt über ein protokollgesteuertes System zur Konvertierung strukturierter Datenströme in interaktive Karten und enthält Werkzeuge zur Visualisierung der internen Reasoning-Prozesse und Gedankengänge eines Modells. Die Bibliothek deckt eine breite Palette an Funktionen ab, einschließlich inkrementellem Markdown-Rendering, Konversations-Lebenszyklusmanagement und Persona-Konfiguration. Sie bietet zudem spezialisierte Komponenten für Prompting, die Erfassung von Nutzerfeedback und die Verwaltung von Chat-Sitzungszuständen. Ein Befehlszeilen-Dienstprogramm ist für das Projekt-Scaffolding verfügbar, um die Generierung initialer Projektstrukturen und Boilerplate-Code zu automatisieren.
Provides a framework for building user interfaces designed for multi-turn dialogues with large language models.