8 Best Open Source Claude Alternatives for Professionals
Claude is powerful, but it's not private by default. Discover 8 open source alternatives built for professionals who need AI without the data exposure.
Claude is undoubtedly a capable AI assistant, but it is not private by default. Your conversations and prompts are processed on Anthropic servers. For most users, this is a fair trade for convenience. However, this creates a real privacy risk for professionals handling sensitive work and unpublished data.
This guide covers the 8 best open source Claude alternatives that offer the same (or better) AI power without privacy compromises.

Why Look for an Open-Source, Private Alternative to Claude?
Using proprietary AI, such as Claude, is like entering into a data-sharing agreement. That said, Claude is incredibly efficient, but its architecture is a black box. Whenever someone uses the model, their prompts and inputs are processed on Anthropic infrastructure. This is not inherently malicious and perfectly acceptable for most use cases.
On the contrary, it creates compliance and confidentiality risks for lawyers, researchers, executives, and healthcare professionals.
Open source alternatives address this by giving you full control over data handling. You can deploy and tweak the selected model on a private cloud or your own infrastructure. Not only that, a user can choose data retention/deletion policies and access controls. As for performance, open source models offer the same high-quality reasoning plus complete data sovereignty.
Okara.ai
Okara.ai offers the power of Claude without compromising data privacy. This managed AI workspace gives access to 20+ leading open-source AI models within a controlled, private environment. You can use variants of Deepseek, Qwen, Llama, Kimi K2, and more. Switch to models instantly for coding, analysis, deep reasoning, and creative work without losing context.
It supports fine-tuning and built-in RAG to answer questions from documents. More importantly, it has real-time team collaboration features, such as shared memory and context.
Privacy and security elements
Conversations stay encrypted at rest and are never used for training or exposed to third parties. Encryption keys are generated on the client’s device instead of external servers. It meets GDPR requirements, and compliance with SOC 2 Type II certification is in the works.
Pricing
The free tier offers 50 messages with all Pro features. Pricing starts at $20/mo for Pro plans with 500 credits (~5,000 messages). Max plan is more suitable for heavier use, priced at $99 for 2000 credits and full access to AI CMO. Alternatively, users can subscribe to the lifetime plan Founding User with $1,000 (one-time payment).
Multimodal support
Okara.ai supports text, document uploads, and image analysis through compatible models.
Open WebUI
Open WebUI is a 100% self-hosted AI interface that allows you to run open models via Ollama or other backends. It gives a similar experience to ChatGPT or Claude but runs completely offline. The feature-rich platform supports Markdown and LaTeX, and has a built-in RAG to chat with documents. Moreover, it includes a prompt library, multi-model support, and even native search capabilities. Professional teams can securely use the Claude-like UI for collaborative research.
Privacy and security elements
Since you self-host Open WebUI, user data including chat history and uploaded media stays on the infrastructure. The data never leaves your device unless you connect it to an external APIs. Plus, you can control backups, security configurations, and permissions with RBAC.
Pricing
Open WebUI is open-source (MIT license), so you will cover costs for private servers and API calls to models you might use.
Multimodal support
It supports image, text, audio, and video input depending on the underlying model used. The platform has several versions of Claude, ChatGPT, Gemini, Deepseek, Qwen, and more.
LibreChat
LibreChat is an all-in-one open-source model hub that offers a near-identical Claude experience. It supports models from multiple AI providers (including Anthropic) through local backends or cloud APIs. The platform allows web search, RAG, OCR, image generation, and conversation forking. Also, it has a built-in code interpreter and inline HTML/React artifacts. The AI agents feature enables you to create personalized AI assistants using different model providers.
Privacy and security elements
LibreChat is self-hosted and deployable via Docker, npm, or Railway. It connects to external APIs, such as OpenAI, Anthropic, Azure, Google, and AWS. However, the platform can be configured to use local models exclusively via Ollama for 100% data privacy. More importantly, it meets enterprise-ready SSO with LDAP, SAML, and OAuth.
Pricing
The platform itself is free to use and modify under the MIT license. Hosting costs depend on the hardware and API keys.
Multimodal support
Yes, LibreChat supports image uploads and multimodal interactions when connected to a compatible model.
AnythingLLM
AnythingLLM is purpose-built for document-heavy research. The platform uses RAG for querying massive document libraries (PDFs, TXTs, and Docs). Its main features include agentic tools, multi-user workspace, vector search, and granular permissions.
Privacy and security elements
Since AnythingLLM can run entirely locally, the data remains isolated and private. It is capable of running offline using models via Ollama or LM Studio. In local mode, the documents and chats never leave your security perimeter.
Furthermore, it gives access to data depending on the role. Admins have full access, and managers can manage workspaces but cannot change key settings. Default users can only chat in assigned workspaces.
Pricing
AnythingLLM has a free, self-hosted desktop version, and cloud hosting prices start at $50 per month.
Multimodal support
It primarily focuses on text and documents, and can support images via integrated vision models.
Jan.ai
Jan.ai is an offline, local-first AI desktop application for running local LLMs. It is designed to be a local, private alternative to ChatGPT and Claude. It runs entirely on your machine unless connected to a cloud provider or an external API deliberately. Jan’s native desktop application (for Windows, Mac, Linux) makes it easy to download and run open models from Meta, Microsoft, and Mistral.
Privacy and security elements
It is 100% offline by default, so all processing happens on your device. Conversations and documents are stored locally, and models run on your own setup.
Pricing
Users do not have to pay a subscription fee for local use, except for the hardware cost.
Multimodal Support
Jan.ai is text-focused; however, it supports image uploads with multiple vision-capable models (Qwen3, Gemma3, Gemini Pro Vision).
Lumo By Proton
Proton is trusted for its privacy-focused services, Proton Mail (the largest encrypted email service), and Proton VPN. Their AI assistant, Lumo, is built on the same zero-access encryption philosophy. Chats have end-to-end encryption, so even Proton can not read them. The main features include ghost mode, web search toggle, and a mobile app.
Privacy and security elements
Lumo leverages Proton’s zero-access encryption architecture and follows Swiss-based privacy laws. Prompts and responses are encrypted client-side and never used for training base models. It has a clear no-retention policy, and chats disappear automatically in ghost mode.
Pricing
Free tier offers limited usage, and the paid plan with advanced features starts at $9.99/mo (billed annually).
Multimodal Support
As of now, Proton’s Lumo supports text, documents, code, and PDFs.
Ollama
Ollama is not a chat tool but a powerful engine to run local open-source LLMs locally. It uses a single command (e.g., ollama run llama 3) to download and serve models like Llama, Deepseek, and Mistral. It can be connected to Open WebUI or LibreChat for a full interface. In fact, many of the tools on this list use Ollama as their model backend.
Privacy and security elements
As a local tool, Ollama is inherently private. Data is not sent anywhere unless you explicitly connect it to an external service.
Pricing
Besides a free tier, Ollama offers two paid plans; Pro at $20/mo (3 cloud models), and Max at $100/mo (10 cloud models).
Multimodal Support
Multimodal support depends on the selected models; many compatible models support vision. For example, Qwen 3.4, Llama 4, LLaVA, Devstral Small 2, and more.
Maple AI
Maple AI is an enterprise-grade AI platform for organizations that simply cannot compromise on security and compliance. Its main features include policy enforcement, zero data retention, multi-model support, and integration with Cloud IDE.
Privacy and security elements
Maple AI uses secure enclaves to keep the uploads and chats confidential. All data processing happens on-device or in encrypted environments.
Pricing
Maple AI has a free tier with 25 messages per week and no multimodal support. Pro plan starts at $20/mo and Max at $100/mo. Team tier includes all Pro features at $30/user/mo.
Models Supported
Maple AI uses “full-size” open source models from Open AI (GPT-OSS), Google (Gemma), Deepseek (R1), Kimi (K2.5), Alibaba (Qwen3-VL), and Meta (Llama).
What “Open Source” Actually Means for AI Privacy
Open source means the underlying code is publicly available for inspection, tweaking, and deployment. You can run the AI models locally or on a private cloud. This guarantees that prompts, uploads, and outputs are not sent to a third-party API. Data is discarded immediately or stored on your own terms with zero external telemetry.
This completely removes the data-sharing risks associated with closed services like Claude and ChatGPT. You can control the entire serving stack, including model, engine, inference, and storage. Many of the tools above are also open source (Open WebUI, LibreChat) and offer full transparency.
Self-Hosted vs. Managed Private AI: Which Is a Better Option?
Self-hosted AI (Open WebUI, Ollama, LibreChat, Jan.ai, and Anything LLM) offer maximum control. This kind of setup is highly customizable with zero monthly fees and better privacy controls. On the flip side, it requires time and technical expertise to set up, secure, and maintain. You are fully responsible for the infrastructure, updates, backups, and troubleshooting issues.
Managed private AI (like Okara.ai and Lumo by Proton) guarantees privacy and data ownership. These workspaces provide the security of a private deployment without requiring hardware investment. Other features include instant access, seamless model switching, automatic updates, shared memory, and RBAC. Precisely, Okara.ai offers Claude-level intelligence with no setup and enterprise-grade security.
Ready to try a private, secure Claude alternative? Try Okara.ai for free today
Frequently Asked Questions
Does Claude store and train on your conversations?
By default, Anthropic may retain and use data to improve Claude. However, consumer users using Free, Pro, and Max plans can opt out of training in the privacy settings. Team and Enterprise users have stronger security guarantees. Still, data and prompts are not private and processed on external servers.
Can open-source AI models match Claude's quality for professional work?
Yes, and increasingly so. Top open source models (Deepseek, Qwen, Llama variants) compete and surpass Claude Sonnet in many benchmarks, including code, reasoning, logic, and long-context tasks.
Is it safe to use open-source AI tools for confidential documents?
Yes, if you are using them locally or through a trusted managed private provider, like Okara.ai. Running an open-source model on your own infrastructure means confidential documents are not sent to an external, shared server.
Which open source models come closest to Claude Sonnet's performance?
Deepseek V3.2 Thinking, Mistral Large 2, Qwen 2.5 72B, and recent Llama variants score near or above Claude Sonnet on professional benchmarks. They compete with Sonnet on coding, analysis, speed, reasoning, and document work.
Is Okara.ai more expensive than Claude?
Okara.ai is cheaper if you factor in the full picture. Claude’s Pro and Max plans cost $17/mo and $100/mo. In contrast, Okara’s Pro plan starts at $20/mo and includes access to 30+ AI models. Not only that, it offers an AI CMO agent, web search tools, and an SEO agent in the Max plan at $99/month. More importantly, the platform has an enterprise-grade security that Claude does not provide by default.
Get AI privacy without
compromise
Chat with Deepseek, Llama, Qwen, GLM, Mistral, and 30+ open-source models
Encrypted storage with client-side keys — conversations protected at rest
Shared context and memory across conversations
2 image generators (Stable Diffusion 3.5 Large & Qwen Image) included