Open Source Perplexity Alternatives

Open WebUI is a self-hosted platform for running AI models without depending on a vendor's infrastructure. It works with local models via Ollama and cloud providers like OpenAI and Anthropic, all through a single interface. Your data stays where you put it.

It's built for people who want real control. That means no accounts required to get started, no third-party data handling, and no lock-in to a single model provider. It fits as well on a personal laptop as it does inside an enterprise network.

What you can connect and do:

• Model flexibility: Connect Ollama, OpenAI, Anthropic, or any OpenAI-compatible API. Mix local and cloud models in the same workspace.
• Voice, vision, and retrieval: Multimodal capabilities are included out of the box, not bolted on later.
• Python extensions: Write custom tools and functions to extend behavior beyond what the default interface offers.
• Web search integration: Pull live information into conversations without leaving the platform.
• Enterprise controls: SSO, role-based access control, and audit logs for teams operating in regulated environments.

The community platform hosts over 410,000 members sharing prompts, models, tools, and functions. You can install what others have built or publish your own. It's a meaningful accelerator if you're experimenting or building on top of Open WebUI for others.

For teams evaluating AI interaction interfaces, Open WebUI sits in a different position than most. Tools like LLMChat or Dyad offer focused experiences for specific use cases, while Open WebUI is designed to be the central hub for everything AI-related in an organization. The scale backs that up: 290 million downloads and 139,000 GitHub stars point to broad, sustained adoption across individual users and large deployments alike.

AnythingLLM is a desktop application and self-hostable platform that lets you chat with your documents, run AI agents, and work with large language models entirely on your own machine. No account required. No data leaves your device unless you explicitly connect to a cloud provider. It runs on macOS, Windows, and Linux.

The core use case is document chat. You load in PDFs, Word files, CSVs, codebases, or content pulled from online sources, then ask questions against that material. The underlying LLM can be a local model running on your own hardware or a cloud provider like OpenAI, Azure, or AWS. You pick which one, and you can switch between them. It also supports multi-modal models, so working with images or audio is possible within the same interface.

Privacy is a first-class concern. By default, everything stays local: the model, the vector database, the embedder, your documents, and your chat history. Nothing is shared unless you configure an external provider. That makes it a practical choice for anyone handling sensitive business documents who can't send data to third-party APIs — including use cases that would otherwise call for legal AI platforms.

For teams, there's a self-hosted or cloud-hosted option with multi-user support. Each user gets isolated access, and admins get fine-grained controls over what users can see and do. The platform can also be white-labeled with custom branding, which makes it usable as an internal tool under a company's own identity.

Beyond document chat, it includes a built-in developer API for integrating its capabilities into existing products. If you're building on top of it, the API fits naturally into the broader LLM application framework ecosystem. A community hub provides shared agent skills, system prompts, and slash commands, so you can extend what the assistant can do without building from scratch.

The MIT license means the source is open and free to use or modify. If you want a lighter-weight alternative focused purely on chat, tools like LLMChat or LobeChat cover that narrower scope. AnythingLLM sits closer to a full local AI workspace, with document ingestion, agent support, and multi-user access all in one place.

LibreChat is a self-hostable chat interface that connects to virtually every major AI provider from one place. Instead of juggling separate tabs for OpenAI, Anthropic, Google, and others, you get a single UI where you can switch models mid-conversation, compare responses, and manage everything under one login. It's built for teams and organizations that want control over their AI tooling without depending on a SaaS vendor.

The platform sits in the same space as Open WebUI and LobeChat, but LibreChat leans heavily into multi-user deployments. Admins can manage users, set spending limits, assign roles, and configure which models each user can access. That makes it practical for companies rolling out AI access across a team rather than just personal use.

Key capabilities include:

• Multi-provider support: Connect OpenAI, Azure OpenAI, Anthropic, Google Gemini, Mistral, and more, including local models via Ollama.
• Custom agents: Build agents with specific instructions, tools, and model configurations that persist across sessions.
• File handling: Upload images, PDFs, and documents directly into conversations for context-aware responses.
• Plugins and tools: Extend conversations with web search, code execution, and third-party integrations.
• Conversation branching: Fork any message to explore different directions without losing the original thread.
• Presets: Save model configurations and system prompts as reusable presets for consistent workflows.

LibreChat fits into the broader AI chat interfaces category but stands out for its depth of configuration. The UI closely mirrors ChatGPT's layout, which flattens the learning curve for teams migrating off proprietary tools. With over 37,000 GitHub stars and 35 million Docker pulls, it has significant real-world adoption behind it.

Khoj is a personal AI platform built for people who want a capable assistant they can actually trust. It connects to your documents and the web, turning any supported AI model into a research partner, automation engine, and second brain. The focus is transparency: citations are verifiable, behavior is inspectable, and you stay in control of what it accesses.

At its core, Khoj is designed around three distinct use cases:

• AI second brain: Ingest your own documents, then ask questions, get summaries, or run research across both your files and live web sources. Agents can be built on top to handle recurring tasks.
• Research workbench: Read and organize academic papers with citations you can check. Useful for anyone tracking a field or doing structured literature review.
• AI co-worker (beta): Assign multi-step tasks, track their progress, and receive polished outputs. This runs locally on your machine, keeping sensitive work off third-party servers.

Because it's open source and self-hostable, you're not locked into a single model or vendor. Swap the underlying model, run it on your own infrastructure, and keep your data private. That's a real distinction from closed alternatives like Humanloop or proprietary chat tools.

Khoj sits in similar territory to LobeChat and LLMChat, but leans harder into autonomous agents and scheduled automations rather than pure conversational UI. The scheduled automation feature means Khoj can run tasks on a cadence without you initiating each one manually.

It's a good fit for researchers, knowledge workers, and developers who want an AI assistant with genuine depth rather than a thin chat wrapper.

Letta is an open-source platform that enables developers to build and deploy advanced AI agents.

Some key features include:

• Built-in memory management: Powered by the research behind MemGPT, Letta agents have self-managed memory capabilities, allowing them to maintain context over extended conversations and tasks.
• Reasoning capabilities: Agents can perform complex reasoning and decision-making based on their knowledge and context.
• Extensive tool support: Letta supports integration with over 7,000 tools, allowing agents to interact with a wide range of external systems and APIs.
• Visual development environment: The Agent Development Environment (ADE) provides an intuitive interface for iterating on agent prompts, tools, and model configurations.
• Production-ready infrastructure: Letta's cloud offering is designed for scalability, allowing agents to grow in utility over time.
• Model-agnostic approach: Developers can use their preferred language models and easily swap between different providers.
• Open-source core: The core Letta platform is open-source, promoting transparency and customization.

With its focus on memory management, extensive capabilities, and developer-friendly features, Letta aims to push the boundaries of what's possible with AI agents. Whether you're building prototypes or production-ready systems, Letta provides the tools and infrastructure to create more capable and context-aware AI assistants.

SurfSense is a self-hostable knowledge management tool built for teams who want the core appeal of NotebookLM – asking questions across a collection of documents – without handing their data to a third party or hitting usage caps.

The core idea is straightforward. You connect sources, and SurfSense builds a searchable knowledge base you can query through a chat interface. What sets it apart is the breadth of what counts as a source:

• Web content via a browser extension that saves pages directly to your knowledge base
• Documents including PDFs, slides, and text files
• YouTube videos with transcript ingestion
• Notion, OneDrive, and other integrations for pulling in existing work
• Podcast and audio files with automatic transcription

On the AI side, SurfSense doesn't lock you to one provider. You can point it at OpenAI, Anthropic, or any compatible model, including locally hosted ones. Teams that already use AnythingLLM or similar tools for document chat will recognize the pattern, but SurfSense leans harder into multi-source ingestion and team sharing rather than single-user document Q&A.

Because it's self-hosted, your documents stay on your infrastructure. There are no per-query fees tied to the platform itself, though you'll still pay your chosen LLM provider for API calls. That trade-off suits teams handling sensitive internal knowledge – legal, research, product documentation – where cloud-based tools create compliance friction.

The interface supports organized spaces, so different teams or projects can maintain separate knowledge bases without everything collapsing into one pile. Search pulls from across all ingested content, and responses cite their sources so you can trace answers back to the original material.

Scira is a cutting-edge, minimalist AI search engine designed to provide instant answers with elegance and simplicity. By leveraging advanced AI technology, Scira strips away clutter to focus on delivering accurate and relevant results quickly.

Key Features:

• Clean Interface: A distraction-free design that puts the focus on your search results.
• AI-Powered Responses: Utilizes cutting-edge AI to understand context and provide precise answers.
• Web Search: Comprehensive web results powered by Tavily AI.
• Code Interpreter: Advanced code interpretation and execution via e2b.dev.
• Weather Forecast: Accurate weather information through OpenWeatherMap.
• URL Summary: Quick web content summarization using FireCrawl's Scrape API.
• Location Search: Find places and nearby locations with Google Maps API integration.
• Translation & TTS: Translate text and convert to speech using OpenAI TTS.

Scira combines the power of various AI services and APIs to create a versatile search experience. Whether you're looking for quick facts, code solutions, or in-depth analysis, Scira adapts to your needs.

Experience the future of search with Scira - where minimalism meets AI power to transform how you find and process information.

Morphic revolutionizes the way users interact with AI systems by dynamically generating user interfaces as part of its response mechanism. This open-source answer engine goes beyond traditional chatbot interactions by creating contextual UI elements that enhance the user experience.

Key capabilities:

• Generates custom UI components on-the-fly based on user queries
• Provides AI-powered responses with interactive elements
• Handles diverse query types from quick searches to complex analysis
• Creates visual summaries and interactive displays
• Supports both conversational and structured data interactions

The system excels at adapting its interface to match user needs, whether it's displaying comparative analyses, generating charts, or presenting document summaries. Its open-source nature allows for community contributions and customizations, making it a versatile tool for developers and end-users alike.

fullmoon is a revolutionary mobile app that brings the power of large language models to your pocket.

Here's what makes it stand out:

• Private and Local: Chat with AI models that run entirely on your device, ensuring your conversations remain private and secure.
• Offline Capability: Enjoy uninterrupted AI assistance even without an internet connection, perfect for travel or areas with poor connectivity.
• Optimized for Apple Silicon: Leveraging the power of Apple's custom chips, fullmoon delivers fast and efficient performance on iOS, iPadOS, macOS, and visionOS devices.
• Customizable Experience: Personalize your interaction by adjusting themes, fonts, and system prompts to suit your preferences.
• Integration with Apple Ecosystem: Use Shortcuts to incorporate AI-powered text generation into your workflows seamlessly.
• Open Source and Free: fullmoon is completely free to use and open source, allowing for transparency and community contributions.
• Multiple Model Support: Choose from different language models, including Llama-3.2-1B-Instruct and Llama-3.2-3B-Instruct, optimized for mobile devices.

Whether you're a writer seeking inspiration, a student looking for study assistance, or a professional needing quick information, fullmoon puts the power of AI in your hands, all while prioritizing your privacy and device performance.

VTChat is a production-ready, privacy-focused AI chat application delivering cutting-edge AI capabilities through a sophisticated dual-tier subscription system. Built with modern web technologies and a privacy-first architecture, VTChat offers advanced AI reasoning, document processing, web search integration, and comprehensive multi-AI provider support.

✨ Key Features:

• Premium AI Models (VT+ exclusive): Claude 4 Sonnet/Opus, GPT-4.1, O3/O3 Mini/O4 Mini, O1 Mini/Preview, Gemini 2.5 Pro, DeepSeek R1, Grok 3
• 9 Free AI Models: Gemini 2.0/2.5 Flash series + OpenRouter models (DeepSeek V3, Qwen3 14B)
• Multi-AI Provider Support: OpenAI, Anthropic, Google, Fireworks, Together AI, and xAI integration
• Document Processing (Free): Upload and analyze PDF, DOC, DOCX, TXT, MD files (up to 10MB) - available to all logged-in users
• Structured Output Extraction (Free): AI-powered JSON data extraction from documents - available to all logged-in users
• Thinking Mode (Free): Complete AI SDK reasoning tokens support with transparent thinking process - available to all logged-in users
• Mathematical Calculator (Free): Advanced functions including trigonometry, logarithms, and arithmetic - available to all users

🔒 Privacy-First Architecture:

• Local-First Storage: All chat data stored in browser's IndexedDB via Dexie.js
• Zero Server Storage: Conversations never leave the user's device
• Multi-User Isolation: Complete data separation on shared devices
• Enterprise-Grade Security: Secure authentication with Better Auth
• Privacy-Focused Security: Bot detection and secure authentication with Better Auth

Pixlie AI is an open-source knowledge graph engine that empowers you to unlock actionable insights from your data. By leveraging fast and cost-effective graph-based AI, you can connect your private data with public information to gain a deeper understanding of your business landscape.

Key features:

• Self-hosted and private: Run Pixlie AI on your own infrastructure for complete data control
• Multiple data formats: Ingest data from CSV, JSON, Markdown, and more
• Integrated web crawler: Enhance your data with public knowledge automatically
• Team collaboration: Share results securely with your team, on-premises or in the cloud
• Semantics management: Use the built-in admin UI to manage real-world semantics extracted from your data
• AI model integration: Leverage Anthropic's Claude API or local AI models for advanced analysis
• Entity and relationship extraction: Classify text and extract entities cost-effectively
• Knowledge graph enrichment: Continuously improve your data connections
• No-code graph queries: Explore your entire knowledge graph through an intuitive interface
• API access: Integrate Pixlie AI into your applications for seamless data querying

Experience the power of graph-based AI and transform your data into valuable insights with Pixlie AI. Get started today and unlock the full potential of your information ecosystem.