# Jan vs LibreChat Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. LibreChat records 346,879 monthly visits with -3.5% growth and Free pricing. | Metric | [Jan](https://openaitools.app/tool/jan) | [LibreChat](https://openaitools.app/tool/librechat) | | :--- | :--- | :--- | | Website URL | https://jan.ai | https://www.librechat.ai | | Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | AI Chatbot, AI Assistant, AI Agent | | Pricing Model | Free | Free | | Monthly Visits | 291,894 | 346,879 | | MoM Growth Rate | -9.6% | -3.5% | | Primary Market | United States | Germany | | Direct Visits | 105,615 | 129,447 | | Review Score | 4.6 | 4.6 | | Saved Count | 6 | 0 | | Supported Platforms | Website | Website | ## Jan Jan is a desktop application that positions itself as an open replacement for ChatGPT, with the key difference that inference happens on hardware you control. After installing the app you pick a model, and Jan downloads and runs it locally, so prompts, chat history, and files stay on your machine rather than on someone else's server. For heavier workloads you can connect an OpenAI, Anthropic, Gemini, or Mistral key and route requests to the cloud while keeping the same chat interface and local history. The project is developed in the open by Menlo Research and has accumulated tens of thousands of GitHub stars along with millions of downloads. It exposes OpenAI-compatible local endpoints, which means existing tooling and SDKs can point at Jan instead of a hosted service, and it supports custom assistants with their own instructions and model choices. Recent releases have added an agent surface alongside the classic desktop chat, and a memory feature is announced as coming to carry context and preferences between sessions. Because it is open source, Jan can be audited, self-built, and extended, and there is no paid tier gating the desktop client. The practical tradeoff is that local model quality and speed depend entirely on your own GPU or CPU, so lighter machines will favor smaller quantized models while cloud keys remain the escape hatch for harder tasks. **Pricing & Plans:** Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. - **Local-first inference:** Download and run open models such as Llama, Mistral, Qwen, Gemma, and DeepSeek directly on your own machine, with chat data kept on device. - **Bring your own cloud models:** Optionally connect API keys for OpenAI, Anthropic, Gemini, Mistral, and other providers to route requests to frontier models from the same interface. - **OpenAI-compatible local API:** Jan exposes a local server endpoint that follows the OpenAI API shape, so existing SDKs and tools can talk to your local models without code changes. - **Custom assistants:** Create assistants with their own system instructions, model selection, and parameters, then reuse them across conversations. - **Open source and extensible:** The full desktop client and agent code are public on GitHub, so you can audit behavior, build your own version, and contribute improvements. **Strengths:** Completely free and open source, with no account required to run local models; Conversation data stays on your device by default; Works across macOS, Windows, and Linux with an OpenAI-compatible local endpoint; Optional cloud key support lets you mix local and frontier models in one app **Limitations:** Local model quality and speed are capped by your own hardware; Very large models may need substantial RAM or VRAM to be practical; Some cloud-connected and memory features are newer or still rolling out [Profile (Markdown)](https://openaitools.app/tool/jan.md) ## LibreChat LibreChat is an open-source platform that brings all of your AI conversations into one unified, customizable interface. Instead of juggling separate tabs and API keys for each vendor, you connect OpenAI, Anthropic, Google, AWS Bedrock, Mistral, Groq, Ollama and dozens of other providers into a single workspace, then switch between them mid-conversation. That provider-agnostic design makes it equally useful for a solo developer comparing model outputs and for an organization that needs one sanctioned AI front door. The feature set goes well beyond chat. Agents can be built with their own files, tools, reusable skills and delegated subagents; artifacts turn conversations into interactive apps, diagrams and documents; a sandboxed code interpreter runs multiple languages; and Model Context Protocol support connects external tools and services. Persistent memory, web search with reranking, message search across history and project workspaces round out the day-to-day toolkit. Because it is open source with a 46.9k-star GitHub repository and tens of millions of container downloads, everything runs on your own infrastructure if you want it to. For teams, LibreChat ships enterprise-grade authentication: OAuth, SAML, LDAP and two-factor auth are all supported, alongside role and permission controls. Deployment ranges from a quick Docker quickstart to a managed cloud option, and a public demo lets you try the interface before committing. Recent news that LibreChat is joining ClickHouse signals a longer-term push toward an open-source agentic data stack. **Pricing & Plans:** Free and open source under a permissive license, with no license fee for self-hosting; you only pay for the third-party model APIs you choose to connect. A hosted cloud option and enterprise arrangements are also offered — check the official site for current cloud pricing. - **Multi-provider model hub:** Connect OpenAI, Anthropic, Google, Azure, AWS Bedrock, Mistral, Groq, Ollama, OpenRouter and many more, then switch models inside a single conversation. - **Agents, skills and subagents:** Build specialized agents that carry their own files, tools, reusable instructions and delegated subtasks with separate context. - **Artifacts and code interpreter:** Turn chat output into interactive apps, React or HTML pages and Mermaid diagrams, and execute code in multiple languages in an isolated sandbox. - **MCP and web search:** Connect any tool or service through Model Context Protocol, and give any model live internet access with built-in search and reranking. - **Enterprise authentication:** OAuth, SAML, LDAP and two-factor authentication, plus projects, memory and message search for organized, persistent work. **Strengths:** Fully open source with an active community and frequent releases; Connects a very wide range of hosted and local model providers; Self-hosting keeps sensitive prompts and files on your own infrastructure; Enterprise authentication including SAML, LDAP and two-factor is built in **Limitations:** Self-hosting requires Docker and server maintenance know-how; Feature depth means a non-trivial learning curve for new administrators; Model API costs are separate from the platform and depend on your providers [Profile (Markdown)](https://openaitools.app/tool/librechat.md) ## Frequently Asked Questions ### How do Jan and LibreChat compare in monthly traffic? Jan has 291,894 monthly visits, while LibreChat has 346,879. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Jan has a month-over-month growth rate of -9.6%; LibreChat has -3.5%. ### How does pricing compare? Jan: Free. Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. LibreChat: Free. Free and open source under a permissive license, with no license fee for self-hosting; you only pay for the third-party model APIs you choose to connect. A hosted cloud option and enterprise arrangements are also offered — check the official site for current cloud pricing. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) | | 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Provides a lightweight command-line runtime for local LLMs, though it lacks Jan's built-in graphical user interface. | [.md](https://openaitools.app/tool/ollama.md) | | 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | Provides persistent memory and multi-platform agent automation, but lacks the polished multi-user authentication and database management of LibreChat. | [.md](https://openaitools.app/tool/hermes-agent-1.md) | | 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) | | 5 | [Chatbot App](https://openaitools.app/tool/chatbot-app) | 2,170,883 | -9.7% | Freemium | Chat with 30+ leading AI models in one clean, fast workspace | [.md](https://openaitools.app/tool/chatbot-app.md) | | 6 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Focuses on personal AI assistance connected directly to messaging apps rather than a web-based multi-provider chat portal. | [.md](https://openaitools.app/tool/clawdbot.md) | | 7 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Provides a comparable self-hosted open-source multi-model chat interface, but features a more robust built-in RAG and pipeline ecosystem. | [.md](https://openaitools.app/tool/open-webui.md) | | 8 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Offers an open-source agent workspace with sleek plugin support, though its focus leans more toward extensible UI plugins than enterprise auth. | [.md](https://openaitools.app/tool/lobehub.md) | | 9 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Specializes heavily in local document RAG and privacy-first knowledge bases, while LibreChat functions broader as a multi-provider chat workspace. | [.md](https://openaitools.app/tool/anythingllm.md) | | 10 | [T3 Chat](https://openaitools.app/tool/t3-chat) | 209,352 | -22.9% | Paid | Offers a fast hosted multi-model chat interface, but lacks open-source self-hosting capabilities and deep custom agent configurations. | [.md](https://openaitools.app/tool/t3-chat.md) | --- Source: https://openaitools.app/compare/jan-vs-librechat More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)