Khoj is an open-source, AI-powered ‘second brain’ designed to help users organize, search, and chat with their personal knowledge base. It is highly versatile, scaling from a completely offline, on-device assistant to a cloud-scale enterprise solution. Khoj enables users to interact with any local or online LLM (such as Llama 3, GPT-4, or Claude) to get answers from their documents and the internet. It distinguishes itself by its deep integration into productivity tools like Obsidian and Emacs, prioritizing privacy and user ownership of data.
Use Cases
Semantic Document Search
Quickly find specific information across a massive collection of PDFs, Markdown files, Notion pages, and Word docs using natural language instead of keywords.
Automated Deep Research
Schedule automations to perform deep-dive research into specific topics, synthesizing findings from both your local documents and live web results.
Personal AI Coworker (Pipali)
Deploy Pipali, a specialized open-source agent that runs locally on your computer to handle repetitive tasks and coding assistance.
Personalized Newsletters
Generate daily or weekly summaries of your own notes and research, delivered directly to your inbox as custom newsletters.
Offline Knowledge Interaction
Run Khoj entirely offline with local models like Llama 3 to maintain absolute privacy for sensitive research and personal journals.
Features & Benefits
Multi-LLM Support
Seamlessly switch between top-tier cloud models and local, privacy-focused models like Mistral, Qwen, and DeepSeek.
Native Productivity Integrations
Direct plugins for Obsidian and Emacs, as well as access via Desktop, Browser, WhatsApp, and mobile apps.
Custom AI Agents
Build agents with specific knowledge bases, personas, and specialized tools to act as dedicated researchers or writers.
Semantic RAG (Retrieval-Augmented Generation)
Combines advanced vector search with your personal documents to provide factual, context-aware answers without hallucination.
Multimedia Capabilities
Includes support for image generation, speech-to-text (STT), and the ability to ‘play’ messages out loud.
Privacy & Self-Hosting
Being open-source and self-hostable ensures that you are never locked into a specific vendor and that your private data stays on your hardware.
Highly Extensible
The modular nature allows developers to build custom skills and integrations into their existing personal or professional workflows.
Benchmarks Performance
Consistently ranks high on modern retrieval and reasoning benchmarks, making it a reliable tool for professional knowledge management.
Cons
Setup Technicality
While a cloud app is available, the true power of Khoj (self-hosting/local models) requires some technical proficiency with Python or Docker.
Hardware Requirements for Local LLMs
Running high-performance models locally requires a machine with a capable GPU and sufficient VRAM to ensure fast response times.
