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LobeChat

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LobeChat

16 reviews

LobeChat - An open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible plugin system. One-click **FREE** deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/Ollama chat application. Features ### 1. Multi-Model Service Provider Support In the continuous development of LobeChat, we deeply understand the importance of diversity in model service providers for meeting the needs of the community when providing AI conversation services. Therefore, we have expanded our support to multiple model service providers, rather than being limited to a single one, in order to offer users a more diverse and rich selection of conversations. In this way, LobeChat can more flexibly adapt to the needs of different users, while also providing developers with a wider range of choices. #### Supported Model Service Providers We have implemented support for the following model service providers: - **AWS Bedrock**: Integrated with AWS Bedrock service, supporting models such as **Claude / LLama2**, providing powerful natural language processing capabilities. - **Anthropic (Claude)**: Accessed Anthropic's **Claude** series models, including Claude 3 and Claude 2, with breakthroughs in multi-modal capabilities and extended context, setting a new industry benchmark. - **Google AI (Gemini Pro, Gemini Vision)**: Access to Google's **Gemini** series models, including Gemini and Gemini Pro, to support advanced language understanding and generation. - **ChatGLM**: Added the **ChatGLM** series models from Zhipuai (GLM-4/GLM-4-vision/GLM-3-turbo), providing users with another efficient conversation model choice. - **Moonshot AI (Dark Side of the Moon)**: Integrated with the Moonshot series models, an innovative AI startup from China, aiming to provide deeper conversation understanding. - **Groq**: Accessed Groq's AI models, efficiently processing message sequences and generating responses, capable of multi-turn dialogues and single-interaction tasks. - **OpenRouter**: Supports routing of models including **Claude 3**, **Gemma**, **Mistral**, **Llama2** and **Cohere**, with intelligent routing optimization to improve usage efficiency, open and flexible. - **01.AI (Yi Model)**: Integrated the 01.AI models, with series of APIs featuring fast inference speed, which not only shortened the processing time, but also maintained excellent model performance. ### 2. Local Large Language Model (LLM) Support To meet the specific needs of users, LobeChat also supports the use of local models based on Ollama, allowing users to flexibly use their own or third-party models. ### 3. Model Visual Recognition LobeChat now supports OpenAI's latest model with visual recognition capabilities, a multimodal intelligence that can perceive visuals. Users can easily upload or drag and drop images into the dialogue box, and the agent will be able to recognize the content of the images and engage in intelligent conversation based on this, creating smarter and more diversified chat scenarios. This feature opens up new interactive methods, allowing communication to transcend text and include a wealth of visual elements. Whether it's sharing images in daily use or interpreting images within specific industries, the agent provides an outstanding conversational experience. ### 4. TTS & STT Voice Conversation LobeChat supports Text-to-Speech (TTS) and Speech-to-Text (STT) technologies, enabling our application to convert text messages into clear voice outputs, allowing users to interact with our conversational agent as if they were talking to a real person. Users can choose from a variety of voices to pair with the agent. Moreover, TTS offers an excellent solution for those who prefer auditory learning or desire to receive information while busy. In LobeChat, we have meticulously selected a range of high-quality voice options (OpenAI Audio, Microsoft Edge Speech) to meet the needs of users from different regions and cultural backgrounds. Users can choose the voice that suits their personal preferences or specific scenarios, resulting in a personalized communication experience. ### 5. Text to Image Generation With support for the latest text-to-image generation technology, LobeChat now allows users to invoke image creation tools directly within conversations with the agent. By leveraging the capabilities of AI tools such as DALL-E 3, MidJourney, and Pollinations, the agents are now equipped to transform your ideas into images. This enables a more private and immersive creative process, allowing for the seamless integration of visual storytelling into your personal dialogue with the agent. ### 6. Plugin System (Function Calling) The plugin ecosystem of LobeChat is an important extension of its core functionality, greatly enhancing the practicality and flexibility of the LobeChat assistant. By utilizing plugins, LobeChat assistants can obtain and process real-time information, such as searching for web information and providing users with instant and relevant news. In addition, these plugins are not limited to news aggregation, but can also extend to other practical functions, such as quickly searching documents, generating images, obtaining data from various platforms like Bilibili, Steam, and interacting with various third-party services. ### 7. Agent Market (GPTs) In LobeChat Agent Marketplace, creators can discover a vibrant and innovative community that brings together a multitude of well-designed agents, which not only play an important role in work scenarios but also offer great convenience in learning processes. Our marketplace is not just a showcase platform but also a collaborative space. Here, everyone can contribute their wisdom and share the agents they have developed. ### 8. Mobile Device Adaptation We have carried out a series of optimization designs for mobile devices to enhance the user's mobile experience. Currently, we are iterating on the mobile user experience to achieve smoother and more intuitive interactions. If you have any suggestions or ideas, we welcome you to provide feedback through GitHub Issues or Pull Requests. ### What's more Beside these features, LobeChat also have much better basic technique underground: - [x] **Quick Deployment**: Using the Vercel platform or docker image, you can deploy with just one click and complete the process within 1 minute without any complex configuration. - [x] **Custom Domain**: If users have their own domain, they can bind it to the platform for quick access to the dialogue agent from anywhere. - [x] **Privacy Protection**: All data is stored locally in the user's browser, ensuring user privacy. - [x] **Exquisite UI Design**: With a carefully designed interface, it offers an elegant appearance and smooth interaction. It supports light and dark themes and is mobile-friendly. PWA support provides a more native-like experience. - [x] **Smooth Conversation Experience**: Fluid responses ensure a smooth conversation experience. It fully supports Markdown rendering, including code highlighting, LaTex formulas, Mermaid flowcharts, and more. More features will be added when LobeChat evolves

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Luca P.
LP
Luca P.
CTO - Growth Marketer full stack #MarTech | ⚡️ SaaS Advisor
06/18/2026
Validated Reviewer
Review source: G2 invite

One Interface to Switch Models, Agents, Plugins, and Knowledge Base—Self-Hosted Done Right

The model switcher is the part I touch every working day. I run LobeChat self-hosted with my own provider keys, and a dropdown at the top of the conversation lets me move between OpenAI, Claude, Gemini, and a local model running through Ollama without leaving the thread I am in. The practical effect is that I draft with a cheap, fast model and then switch to a stronger one for the pass that actually matters, all inside the same conversation. I stopped paying for three separate chat subscriptions and keeping three browser tabs open to compare them. One interface, my keys, and whichever model fits the task in front of me. The agent marketplace earned its place faster than I expected. I can install a pre-built assistant, fork it, change its system prompt and its default model, and save it under a name that means something to me. I keep a small library of these: a code-review agent pinned to a stronger model, a quick-rewrite agent sitting on something cheap, a SQL helper with the table context already baked into its prompt. Rather than pasting the same three-paragraph system prompt every time I want a particular behavior, I pick the agent and start typing. The marketplace itself is a reasonable starting point, but the real value for me is treating those community agents as templates I bend to my own work instead of building each one from a blank page. Plugins and the MCP marketplace are useful, with a caveat I will get to. The plugin system runs on function calling, so an agent can reach out to a tool mid-conversation to pull a document, hit an API, or generate an image. The MCP marketplace integration matters more to me than the older plugin catalog, because it means I can point LobeChat at the same MCP servers I already use elsewhere rather than waiting for someone to ship a bespoke plugin. When a tool is wired in correctly, it is the difference between a chat window and something that can actually carry out a step of real work. Not every plugin is maintained to the same standard, which I will come back to in the dislikes, but the handful I depend on are dependable. The knowledge base quietly changed how I use the tool for real work. I upload a set of internal documents, and retrieval pulls the relevant chunks into context when I ask a question, so I am querying our own material instead of pasting it in by hand every time. On the self-hosted server version this rides on Postgres with the pgvector extension, which means the documents and their embeddings sit on infrastructure I control rather than in some third party's store. For anything that touches internal information, that distinction is the entire reason I chose to host it myself. Artifacts and the rendering are a smaller pleasure that adds up over a day. Code comes back in a side panel with proper highlighting, and markdown, Mermaid diagrams, and LaTeX render in place rather than arriving as raw text I have to copy somewhere else to read. When I am working through something that has a diagram or a formula in it, seeing it rendered inline keeps me moving instead of bouncing out to a separate viewer. It is not the feature that sold me, but it is the kind of detail I would miss the moment I went back to a plainer client. Multi-modal input is more useful in practice than I assumed it would be. I can drop an image into a conversation and have a vision-capable model describe or reason about it, generate an image from a prompt when I need a quick visual, and use speech in and out on the occasions when typing is not convenient. None of this is unique to LobeChat taken feature by feature, but having vision, image generation, and voice sitting in the same place as the text models, rather than spread across three more tabs, is what makes me actually use them. A screenshot of a broken layout or an error dialog goes straight into the chat instead of being routed through a separate tool first, which is usually the moment I would have given up and just described it in words. Running local models through Ollama is an option I am glad exists even though I do not reach for it constantly. For a prompt that involves anything I would rather not send to a hosted provider, I switch the conversation to a local model and the request never leaves my own hardware. Having that escape route in the same interface, one dropdown away from the cloud models, means privacy is a per-conversation choice rather than a separate tool I have to remember to open. The interface itself is calm and quick, and it holds up across the desktop app and the browser PWA, including on my phone when I am away from my desk. What makes me comfortable building a workflow on it is that the project keeps moving. It picked up native support for Claude's SKILL.md skills format not long after that standard appeared, which is the sort of thing that tells me the people behind it are tracking where the field is going rather than coasting on what already shipped.
Jerin C.
JC
Jerin C.
Talent Go Getter/Recruiter/Talent Manager/Employee Engager/Event Coordinator
02/22/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

10 Days Task in 10 Seconds

Excellent GenAI Open source Platform which is very much useful in the day to day task. Build in most recent technology in data science such as LLM Modelling most useful.
Verified User in Information Technology and Services
GI
Verified User in Information Technology and Services
06/03/2025
Validated Reviewer
Verified Current User
Review source: Organic

Good chat AI assistant for learning or refining prompts

Like the refine prompt feature of Midjourney

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What is LobeChat?

LobeChat is a platform designed to facilitate the creation and management of custom chatbots. It provides users with tools to build, customize, and deploy chatbots tailored to specific needs or applications. The platform focuses on user-friendly interfaces and streamlined processes to make chatbot development accessible even to those without extensive technical expertise. By leveraging AI technology, LobeChat aims to enhance customer interactions and automate support functions across various industries.

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lobechat.com