Open-source alternatives to ChatGPT Next Web

This project is a self-hosted, web-based interface designed for interacting with large language models. It provides a centralized dashboard that enables users to manage model communications, maintain persistent conversation histories, and organize prompt libraries within a private, containerized environment. The platform distinguishes itself through robust administrative and security controls, including support for enterprise identity providers, password-based access, and request rate limiting. It facilitates flexible connectivity by allowing users to configure custom network proxies, manage

Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments. The platform distinguishes itself through its federated task management and policy-based access control, which

openai-go is an LLM SDK for Go and a client for interacting with OpenAI services. It provides type-safe bindings to generate text, images, and audio via REST endpoints, enabling the integration of large language models and AI assistant orchestration into Go applications. The library serves as an agent orchestration tool for managing stateful conversation threads and autonomous agents with integrated tool calling and file search. It also functions as an asynchronous batch processing client for monitoring large-scale request groups and fine-tuning jobs, alongside a management SDK for controllin

Promptflow is a development framework and orchestrator for building applications powered by large language models. It functions as a suite of tools for designing, orchestrating, and deploying AI workflows by linking prompts, custom Python code, and language models into executable sequences. The project is distinguished by a visual AI workflow designer that allows for the creation of directed acyclic graphs of logic nodes. It provides a dedicated prompt engineering environment for versioning and comparing templates, alongside stateful execution tracing to record function calls and variable val

Chainlit is a Python framework designed for building and deploying interactive, stateful conversational AI interfaces. It provides a backend-driven platform that connects language models and agent frameworks to a web-based chat frontend, managing the complexities of session state, message history, and real-time communication. The framework distinguishes itself by offering a component-based UI builder that allows developers to inject interactive widgets, rich media, and data visualizations directly into the chat stream. It supports the visualization of complex agent workflows, enabling users t

Chatbox is a desktop client and multi-provider chat interface for interacting with large language model APIs across various service providers and local installations. It functions as a local-first AI conversation manager that stores chat history and user settings directly on the device. The application provides a unified interface to connect multiple AI backends for text generation and image creation. It includes a specialized rendering system for AI responses that supports technical documentation through syntax highlighting, Markdown, and Latex mathematical notation. The platform manages pr

BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg

This project is a web-based user interface for interacting with large language models, featuring streaming responses and persistent conversation history. It functions as an orchestration gateway that directs user prompts to specific language models and acts as a Model Context Protocol client to execute external tools and incorporate live data into conversations. The application includes a routing layer that analyzes input signals and tool requirements to dynamically direct messages to the most appropriate specialized model. It also provides customization settings for brand identity, allowing

Helicone is an AI gateway and observability platform designed to intercept, manage, and monitor interactions with large language models. By acting as a reverse-proxy, it provides a centralized layer for routing requests across multiple AI providers, allowing developers to maintain consistent application logic while gaining deep visibility into model performance, usage, and costs. The platform distinguishes itself through a robust suite of traffic management and prompt engineering tools. It enables policy-driven control, including automatic failover between providers, rate limiting, and edge-b

Chatbot-ui is a self-hosted AI dashboard and LLM chat interface that serves as a centralized hub for interacting with multiple artificial intelligence providers. It functions as a multi-provider AI client and model orchestrator, allowing users to send prompts and receive responses from various large language models through a unified conversational interface. The project enables multi-model AI chat within a single workspace, allowing for the comparison of outputs and capabilities across different backends. It provides a private frontend for AI workspace management, where users can organize cha

Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers. The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che

This project is a framework for developing multimodal AI agents that function as programmable participants in real-time communication rooms. It enables the construction of agents that can see, hear, and speak by integrating speech-to-text, large language models, and text-to-speech pipelines to facilitate low-latency, natural conversations. The system is distinguished by its advanced orchestration of real-time media and conversational flow, including support for full-duplex speech, preemptive response generation, and sophisticated interruption management. It further differentiates itself throu

This project is a multimodal AI proxy and content generation hub that provides a unified web interface for interacting with multiple large language models and generative AI services. It functions as a secure API access gateway, routing requests from a single dashboard to various external AI backends using configurable base URLs and API keys. The platform is delivered as a cross-platform progressive web application, allowing for installation on Linux, Windows, and MacOS. It distinguishes itself by consolidating text, image, audio, and video generative controls into a standardized interface, su

Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures. The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c

PydanticAI is a Python framework designed for building production-grade autonomous agents. It provides a unified interface for interacting with diverse language models, enabling developers to construct agents that perform complex tasks through structured data validation, tool execution, and multi-turn conversation management. The library centers on type-safe schema enforcement, ensuring that model inputs and outputs remain consistent and reliable throughout the agent's lifecycle. The framework distinguishes itself through a robust architecture that emphasizes modularity and testability. It ut

This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions. The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services

ChatAny is a multimodal AI dashboard and large language model aggregator that provides a unified interface for accessing multiple AI services. It functions as a centralized hub for generating text, images, music, and video through the integration of various artificial intelligence models. The platform includes a SaaS management system to control service access via subscription packages, redemption codes, and referral rewards. It also features a dedicated tool for extracting text from PDF documents to enable conversational queries and analysis. The system supports image generation and editing

SillyTavern is a comprehensive interface and orchestration platform designed for immersive AI roleplay and interactive chat experiences. It functions as a unified gateway that connects users to a wide array of local and cloud-based large language models, providing a centralized environment to manage complex character personas, narrative context, and model-driven interactions. The platform distinguishes itself through its advanced prompt engineering and automation capabilities. It utilizes a sophisticated macro-based templating engine and vector-database retrieval to dynamically inject lore, c

assistant-ui is a React interface framework and component kit designed for building conversational user interfaces for artificial intelligence services. It provides a collection of reusable components to render chat windows and interaction histories that connect to large language model backends. The framework uses a composable architecture and a provider pattern to decouple UI components from specific backend implementations. Visual customization is handled through a CSS-variable theming system, while adapter-based integration standardizes different API responses into a consistent format for

Beatai is an AI-powered knowledge base and documentation portal designed to host educational resources on large language models, neural networks, and AI engineering. It functions as a markdown-based documentation site that renders static files into a searchable, responsive website with an organized structure. The platform integrates an embedded intelligent assistant and chat interface to help users query and find specific information within the technical content. It also incorporates inline discussion systems to facilitate collaboration and feedback on educational articles. The site utilizes

This project is a PHP API client and SDK for integrating OpenAI services into PHP applications. It serves as an integration library and wrapper for interacting with large language models to generate text, images, and audio via REST API calls. The library provides specialized orchestration for AI assistants, managing conversation threads and vector stores. It also includes tools for custom model fine-tuning, semantic search implementation through text embeddings, and audio processing for transcription and synthesis. The capability surface covers content moderation, file management, and the ha

This project is a self-hosted AI frontend and web-based chat interface designed to interact with large language model APIs. It functions as an API-based chat client and dashboard that enables users to send prompts and receive responses from generative AI models. The application serves as a self-hosted AI gateway, providing API key proxying to connect official model keys to a web interface. It includes security and traffic controls, such as interface access restrictions via a shared secret key and request volume limiting to prevent service abuse. The system covers conversation data management

ChatALL is a desktop application that functions as a multi-model chat client and aggregator for artificial intelligence services. It enables users to send a single prompt to multiple AI models simultaneously, allowing for the side-by-side comparison of generated responses within a unified interface. The application distinguishes itself through a local-first approach to data management, ensuring that all conversation logs and user configurations are stored directly on the user's device. This architecture supports privacy and offline access while providing a centralized system for managing and

Noi is an AI-powered web browser designed to organize AI prompts and manage parallel browsing workspaces. It serves as a local-first browsing environment that stores history and settings on the local device for privacy and offline access. The browser distinguishes itself through a command line interface that allows users to trigger application actions and manage environments from external tools. It also includes a system for storing and organizing reusable AI prompt templates to streamline chat-based productivity. The platform provides multi-workspace organization, enabling side-by-side wind

Genkit is an open-source framework for building AI-powered applications. It provides a unified interface for connecting to hundreds of generative AI models from multiple providers, enabling text, image, audio, and video generation through a single API. The framework structures multi-step AI interactions—including chat, retrieval-augmented generation, tool use, and agentic workflows—as composable, traceable flows with built-in streaming and state management. The framework distinguishes itself through a comprehensive developer toolkit that includes a command-line interface and a local developer

Openwork is an LLM agent orchestration platform and cross-platform desktop application designed for building and running automated workflows. It serves as a local AI agent host and session manager, allowing users to connect local project folders to various large language models and remote cloud workers. The project distinguishes itself through a local-first execution model that enables agents to process files directly on a host machine. It implements human-in-the-loop permissioning to intercept agent resource requests, requiring explicit user approval before accessing specific local system fi

ChatRWKV is an open-source frontend and GPU-accelerated inference engine designed for interacting with RWKV recurrent neural network language models. It provides a self-hosted web chat interface and a specialized client for generating human-like text using a linear-complexity architecture. The project utilizes a GPU-accelerated backend that employs custom CUDA kernels and dynamic model format conversion to increase processing speed and reduce memory overhead. It manages conversation history through state-based context management, updating a fixed-size hidden state to maintain a constant memor