Projects sharing features with ChatGPT On CS

Streamer-Sales is a digital avatar video generator and large language model sales agent framework. It functions as a multimodal AI pipeline that synthesizes talking-head videos using text-to-speech and face animation to create virtual spokespeople. The system differentiates itself by combining retrieval-augmented generation with agentic web searching to ground product descriptions and sales scripts in factual data and real-time information. It further integrates a multimodal interaction workflow that coordinates automatic speech recognition and text-to-speech for real-time voice conversations

LMOps is a research-driven operations framework for optimizing the deployment, fine-tuning, and performance of large language models. It provides a specialized toolkit for foundation model adaptation, inference acceleration, prompt optimization, and context orchestration. The framework distinguishes itself through an inference accelerator that reduces token generation latency by verifying and copying overlapping text spans from reference documents. It also features a prompt engineering optimizer that employs reinforcement learning, beam search, and non-natural language markers to automaticall

This project is an educational resource and engineering guide for building, deploying, and optimizing large language model applications and production pipelines. It serves as a blueprint for cloud AI infrastructure, providing a framework for orchestrating inference endpoints, data warehouses, and scalable production environments. The repository provides specific implementation patterns for retrieval augmented generation to ground model responses in external data. It includes a training workflow for crawling, structuring, and processing datasets to facilitate model fine-tuning, alongside an ev

Wenda is a self-hosted infrastructure and gateway platform for deploying language models within internal networks to ensure data privacy and security. It functions as a centralized hub and API gateway that unifies communication between various offline model runners and online service providers through a single interface. The platform includes a workflow orchestrator that uses custom scripts and API calls to automate complex conversation flows and model settings. It also incorporates a retrieval system that augments model responses with external knowledge retrieved from vector databases and se

Matterbridge is a multi-protocol chat bridge and messaging gateway that synchronizes messages, media, and user identities across disparate communication platforms in real time. It functions as a protocol-agnostic message bus, translating various chat protocols into a common internal format to enable seamless communication between different services. The system distinguishes itself through a multi-platform media proxy that downloads and re-uploads files and attachments to ensure cross-protocol accessibility. It also utilizes a webhook identity proxy to replicate original sender usernames and a

mi-gpt is a voice assistant bridge and agent orchestrator that connects smart speakers to large language models. It functions as an integration layer that routes audio requests from hardware speakers to AI providers and converts generated text back into speech via a customizable synthesis system. The project features a retrieval-augmented generation knowledge base that uses embeddings and external documents to provide context-aware responses. It includes a persona definition system for configuring behavioral rules, system prompts, and roleplay characteristics, alongside a plugin architecture

Koog is an LLM agent framework used to build autonomous entities that execute tool-based workflows. It utilizes a graph-based workflow engine to define agent behaviors and decision paths as a directed graph of nodes and edges. The framework distinguishes itself through a model provider orchestrator that enables dynamic switching, load balancing, and automatic fallbacks between different AI backends. It implements the Model Context Protocol to connect agents to remote tool servers and features a RAG memory system using vector embeddings to maintain long-term conversation context. The project

This project is a legal AI system that provides a language model assistant grounded in a retrieval-augmented generation knowledge base. It enables users to perform vector-based legal searches and receive grounded answers to legal questions. The system specifically supports Chinese legal knowledge retrieval by converting markdown documents into vector embeddings for semantic search. It utilizes a streaming web interface that delivers incremental AI responses via server-sent events. The broader capability surface includes chunk-based document processing, vector-based knowledge indexing, and si

This project is an AI-driven phone agent platform and telephony gateway designed to automate inbound and outbound voice interactions. It functions as a conversational voicebot system that utilizes large language models to conduct natural language phone conversations for customer support and data collection. The platform distinguishes itself through the integration of retrieval-augmented generation, allowing voice agents to search internal knowledge bases for domain-specific answers during live calls. It features automated language detection to support multilingual conversations and a system f

QAnything is a retrieval-augmented generation application framework and self-hosted AI interface. It functions as a system that combines a vector database knowledge base, a document parsing service, and a hybrid search engine to generate answers based on private user data. The project features a modular pipeline architecture that allows users to independently replace components such as parsers, embedding models, and reranking engines. It supports local-first model deployment and offline operation to ensure data privacy, and includes a two-stage retrieval pipeline that merges dense vector embe

This project is a Llama Stack agentic framework and orchestrator used to build autonomous AI applications. It coordinates model inference and tool execution to decompose complex goals into multi-step reasoning chains and continuous inference loops. The framework incorporates a dedicated safety guardrail system that filters model inputs and outputs through safety models to enforce system-level content restrictions. It also includes a tool integration layer that maps model-generated function requests to external runtime definitions to execute actions beyond text generation. The system provides

Danswer is an LLM application framework and RAG engine that provides a self-hosted interface for connecting large language models to private data. It serves as an enterprise AI chat interface and agent orchestrator, enabling the creation of specialized assistants with custom instructions and knowledge bases. The platform differentiates itself through an observability dashboard for tracking query history and token consumption, as well as a white-labeled interface for customized branding. It includes a multi-step research workflow for producing long-form reports and a sandboxed environment for

ruby_llm is an LLM integration framework and AI agent orchestrator designed to connect applications to multiple large language model providers through a unified interface. It serves as a toolkit for building autonomous assistants with custom personas, managing structured output via JSON schemas, and implementing vector embedding engines for semantic search. The project distinguishes itself as an observability suite and multimodal toolkit. It provides specialized capabilities for tracking token usage, calculating model costs, and tracing workflows via OpenTelemetry, while supporting the proces

RAGatouille is a retrieval framework and search engine designed for implementing and training late-interaction retrieval models. It serves as a modular retrieval component for generative AI pipelines, focusing on high-performance document ranking to improve search accuracy. The project provides a toolkit for training and fine-tuning retrieval models using pairs and triplets, featuring automatic hard-negative mining for domain adaptation. It implements a late-interaction mechanism that balances retrieval speed with precision by utilizing compressed embeddings. The system covers document index

llm-zoomcamp is a comprehensive educational program and course for building real-life AI systems using large language models. It serves as a structured curriculum and implementation guide for developing AI applications and retrieval techniques. The project provides instructional material on building retrieval augmented generation pipelines to ground model responses in custom knowledge bases. It includes training on vector database implementation, semantic search, and the use of function calling to create autonomous agentic workflows. The curriculum covers a broad range of system development

This project is a WhatsApp chatbot that integrates large language models and image generation into the WhatsApp messaging platform. It acts as a bridge connecting WhatsApp messages to OpenAI services to provide automated text and visual responses. The bot features the ability to convert spoken audio messages into written text using automated speech recognition, facilitating conversational interactions via voice. It also functions as a generative image bot, creating custom visual assets from text descriptions. The system is designed for containerized deployment, using Docker to package the ap

Riona-AI-Agent is an LLM automation agent and browser automation framework designed to execute complex workflows, train on custom data, and generate AI content. It functions as a social media automation tool for scheduling content, managing multiple profiles, and automating engagement actions across social platforms. The system includes a centralized monitoring dashboard for tracking the live status, runtime summaries, and activity logs of AI agents. It utilizes machine learning models to identify and bypass visual security challenges during automated browsing sessions. The agent's capabilit

This project is a knowledge base plugin and RAG context manager that uses a local vector database interface to enable semantic search and relationship mapping. It transforms text into numerical vectors to find semantically related notes and excerpts based on conceptual meaning rather than keyword matches. The system differentiates itself through a semantic graph visualizer that maps notes into clusters to reveal conceptual connections. It also features a context manager capable of bundling local notes and excerpts into reusable packs to provide grounded factual bases for large language model

iflow-cli is a command-line interface and suite of AI tools designed for software engineering, workflow orchestration, and multimodal data analysis. It functions as an LLM command line interface that enables users to execute AI workflows, analyze codebase structures, and interact with large language models directly from the terminal. The project features a plugin-based agent architecture that allows for the integration of specialized domain experts and custom instruction sets from an external marketplace. It distinguishes itself through a multimodal AI terminal capable of processing visual da

OpenGPTs is a platform for building, deploying, and managing customizable AI assistants. It serves as an orchestrator that allows for the configuration of large language models with specific personas, cognitive architectures, and tool integrations. The system provides a complete lifecycle manager for AI agents, enabling the drafting of configurations, testing within sandboxes, and publishing assistants for public or internal distribution. It integrates a knowledge base interface using retrieval-augmented generation to attach documents to bots for context-aware responses. The platform covers

Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist

zvec is an embedded vector database engine and indexing library designed for high-dimensional similarity search. It functions as a hybrid search engine and a retrieval-augmented generation knowledge base, allowing for the storage and retrieval of dense and sparse vectors. The system is distinguished by its hybrid retrieval pipeline, which fuses vector similarity, full-text keyword matching, and scalar metadata filtering into single query operations. It supports a plugin-based model integration system for registering custom embedding models and rerankers, as well as language bindings for nativ

Rag-stack is an enterprise knowledge retrieval system designed to deploy private generative artificial intelligence environments. It functions as a retrieval-augmented generation stack, orchestrating the connection between internal document repositories and open-source language models to enable natural language querying of private organizational data. The platform distinguishes itself by providing a complete infrastructure for private large language model hosting and vector database management. By utilizing infrastructure-as-code provisioning and containerized microservices, it allows organiz

OpenGpt is an agent orchestration platform and multimodal interface designed for building and deploying specialized AI personas. It allows users to create task-oriented agents with custom system prompts and behavioral constraints to automate professional, creative, and technical workflows. The project features a prompt engineering workflow that transforms simple user inputs into structured instructions to improve model accuracy. It integrates retrieval-augmented generation by connecting vector databases to the chat interface, enabling context-aware responses from private datasets. The platfo

Giskard is an AI quality assurance suite and evaluation framework designed to measure the performance, bias, and security risks of large language models and AI agents. It functions as a vulnerability scanner to detect security flaws and performance regressions. The project provides automated red-teaming and adversarial testing workflows. These tools generate prompt-injection probes and adversarial attacks based on system descriptions to identify security gaps and vulnerabilities. The platform covers AI agent auditing and RAG quality validation, using knowledge-base grounding and synthetic da

IntentKit is an open-source platform for deploying and managing a collaborative team of AI agents that can work together to complete complex tasks. It provides a self-hosted agent orchestrator that coordinates multiple agents through a modular pipeline of entrypoints, orchestration, and storage, all running as containerized services using Docker Compose or Swarm for production-grade deployment. The platform distinguishes itself by offering a plugin-based system for extending agent capabilities without modifying the core codebase, along with built-in integrations for connecting agents to socia

Devzat is an SSH chat server that provides a real-time communication environment where users connect via a secure shell to participate in chat rooms and terminal-based collaboration. It utilizes the SSH protocol for session management and provides a shared environment for interactive communication through a command-line interface. The project is distinguished by its cross-platform chat bridging, which synchronizes messages between the central server and external platforms such as Slack. It also features an extensible plugin system based on gRPC, allowing for the development of custom bots and