Khoj: Self-Hostable AI Second Brain

Khoj: Your AI Second Brain — A Deep Dive into Open-Source Personal AI

In a world where artificial intelligence is increasingly integrated into everyday workflows, Khoj stands out as a personal AI companion designed to grow with you. Marketed as “Your AI second brain,” Khoj is more than a single-purpose assistant. It’s a flexible, self-hosted platform that scales gracefully from on-device personal AI to enterprise-grade cloud AI. With Khoj, you can chat with any local or online large language model (LLM), access the internet and your documents, and tailor the system to your needs with custom agents, tools, and workflows. This post takes you on a detailed tour of what Khoj offers, how it works, and how you can get involved.

New and notable: Pipali, Khoj’s open-source AI coworker

The latest from the Khoj ecosystem is Pipali — a lightweight, open-source AI coworker that runs directly on your computer. Pipali is part of Khoj’s broader mission to democratize access to powerful AI while preserving privacy and control. Read more about Khoj’s strong performance on modern retrieval and reasoning benchmarks and see how Pipali fits into the broader Khoj vision. This addition illustrates the project’s commitment to on-device capability without sacrificing the breadth of cloud-powered AI features.

Overview: What Khoj can do for you

Khoj is built to be a personal AI that grows with your needs. It supports a wide range of capabilities aimed at boosting productivity, research, and creative work.

• Multi-LLM conversations: Chat with local or online LLMs, including popular models like Llama3, Qwen, Gemma, Mistral, GPT-family, Claude, Gemini, and DeepSeek. You’re not locked into a single provider; you can switch models or run multiple models in parallel.
• Internet and document intelligence: Retrieve information from the web and from your own documents. Khoj can read PDFs, Markdown, Notion pages, Word documents, org-mode files, and other common formats.
• Cross-platform access: Use Khoj from your browser, Obsidian, Emacs, desktop, mobile, or messaging apps like WhatsApp. Your knowledge and workflows travel with you across environments.
• Custom agents and personas: Create agents with tailored knowledge, personas, chat models, and tools to fulfill specific roles. From research assistants to decision-makers, you can design agents that fit your needs.
• Automation of repetitive research: Let Khoj handle repetitive tasks, summarize findings, track details, and organize information. You can receive personal newsletters and smart notifications in your inbox.
• Semantics-first search: Find relevant documents quickly with advanced semantic search that makes it easier to locate precisely what you need.
• Image generation and multimodal interactions: Generate images, talk out loud, and exchange rich messages that go beyond plain text.
• Open-source and self-hosted: Khoj is open-source and self-hostable, giving you control over your data and deployment. Run it privately on your computer or try the cloud app.
• Flexible deployment: Run Khoj on your own hardware, on cloud infrastructure, or in a hybrid setup. Enterprise options offer tailored deployments to fit organizational needs.
• Demos and live use: See Khoj in action and explore live capabilities at app.khoj.dev, or view demonstration visuals to understand how a dialog with an LLM can resolve a problem step by step.

[Demo visual: See Khoj in action]

See it in action: where to try Khoj

If you want to experience Khoj firsthand, head to the cloud app at https://app.khoj.dev. There you can interact with a live instance, try diverse models, and test the integrated capabilities that Khoj provides. For a taste of Khoj’s interactivity, the demo GIF above shows a sample dialogue where the system analyzes a problem, decomposes steps, and presents a solution in a clear, structured manner.

Core capabilities in more detail

Khoj’s feature set is designed to be practical, extensible, and privacy-conscious. Here are the highlights that matter most to power users and teams:

• Flexible model ecosystem: Use multiple LLMs with different strengths. For tasks requiring robust reasoning, you can select models known for performance on retrieval and complex reasoning benchmarks. For everyday questions or rapid drafting, lighter models may suffice. The ability to blend models, switch on the fly, or route tasks to the most suitable model provides a level of versatility that’s hard to achieve with a single-provider setup.
• Document and data ingestion: Khoj reads a broad spectrum of data sources, from PDFs and Markdown files to Notion pages, Word docs, and org-mode files. This makes it easy to build a knowledge base that reflects how you work, not how a particular tool expects you to store information.
• Semantic search that actually helps: The ability to locate relevant information quickly relies on semantic understanding, not mere keyword matching. Khoj makes it easier to find what you need, when you need it, across private docs and online sources.
• Personalization and agents: Create agents that can act as a based-on-knowledge consultant, a research assistant, a writing coach, or a data analyst. You can assign personas, tools, and chat models to distinct roles, enabling collaborative workflows with multiple agents working in parallel.
• Automation and delivery: Beyond conversations, Khoj can automate repetitive research tasks, generate summarized newsletters, and push notifications to your inbox. This turns information gathering into a proactive, time-saving routine.
• Multimodal interactions: Generate images, speak responses aloud, and manage conversational tone and style. The interface supports more natural, human-like interactions that can be tuned to your preferences.
• Privacy-centric, open-source ethos: Khoj’s open-source nature means you can review code, audit privacy implications, and customize deployments. Running Khoj locally or in your own cloud keeps data under your control.

Self-hosting, cloud, and enterprise options

Khoj’s architecture is designed to fit a continuum of deployment scenarios:

• Self-hosted on your machine: Run Khoj privately on your computer. This option emphasizes privacy and immediate accessibility without relying on a constant internet connection. It suits individuals who want a personal AI assistant with strong data locality.
• Cloud app: Use the cloud-hosted service for quick access, heavy lifting, and collaboration at scale. The cloud option reduces setup time and enables centralized management features for teams.
• Enterprise deployments: For organizations with regulatory requirements, hybrid needs, or large-scale usage, Khoj supports cloud, on-premises, or hybrid configurations. Enterprise deployments come with governance, security, and integration features tailored to business environments.

Getting started: quick paths and deeper dives

• Quick start (no setup required): You can begin using Khoj immediately at https://app.khoj.dev without configuring own infrastructure. This is ideal for users who want to explore capabilities quickly and see how Khoj fits into their workflow.
• Self-hosting guide: For developers and teams who want to run Khoj on their own infrastructure, the docs at https://docs.khoj.dev/get-started/setup provide a step-by-step path to a local or private deployment.
• Documentation and features: The comprehensive feature list is documented at https://docs.khoj.dev/category/features. It’s the best place to learn about the breadth of capabilities, including model integrations, agents, tools, and workflows.
• Create your own agents: Khoj’s blog post on building custom agents provides a practical, step-by-step guide to designing agents that suit your use case. It’s a helpful resource for power users who want to extend Khoj’s capabilities in new directions. The article is available at https://blog.khoj.dev/posts/create-agents-on-khoj/.

Pipali: a sibling built for on-device AI co-working

Pipali represents Khoj’s commitment to empowering users with resilient, on-device AI. As an open-source project, Pipali runs directly on your computer, delivering autonomous performance without always needing cloud access. This approach aligns with Khoj’s broader goals of privacy, speed, and flexibility. Pipali complements the cloud-enabled strengths of Khoj by providing an always-on, local co-pilot that can handle routine tasks, draft ideas, or perform quick analyses even when network connectivity is limited.

Documentation and community: how to contribute

Khoj is open source and thrives on community involvement. The project emphasizes contribution as a central pillar of its ongoing development. Whether you’re a coder who wants to implement features, a designer who can improve user experiences, a writer who can expand documentation, or simply an AI enthusiast who wants to contribute ideas, there’s a place for you.

• Why contribute: Building, testing, and improving a tool used by thousands can be profoundly impactful. You’ll learn about cutting-edge AI, LLMs, and semantic search technologies while making a tangible difference in people’s productivity.
• How to contribute: Khoj maintains a Contributing Guidelines document that outlines how to start, what to work on, and how to make meaningful contributions. If you’re new, look for “good first issues” to begin with, which are designed to be approachable for newcomers.
• Contributor recognition: The project acknowledges contributors with a dedicated image and badge, reflecting the collaborative spirit of the community.

[Contributors image]

What makes Khoj unique

• Open-source and self-hostable by design: Privacy and control come first. You own your data, and you can tailor deployments to your exact requirements.
• Seamless cross-ecosystem experiences: Khoj’s flexibility in interfacing with browsers, note-taking environments, editors, and messaging apps makes it possible to weave AI into your existing workflows without friction.
• A practical blend of on-device and cloud capabilities: The on-device Pipali coexists with cloud-powered agents so you can enjoy speed and privacy while still benefiting from cloud-scale reasoning when needed.
• A robust ecosystem of models and tools: The platform does not lock you into a single model. You can combine models, access online sources, and use tools that best fit your tasks.

Frequently asked questions (FAQ)

• Can I use Khoj without self-hosting? Yes. You can start immediately at https://app.khoj.dev without setting up your own infrastructure.
• What kinds of documents can Khoj read? Khoj supports PDFs, Markdown, Notion pages, Word documents, org-mode files, and more. Its ingestion capabilities cover a broad range of formats you already use.
• How can I create my own agent? Khoj provides guides and examples for building custom agents. A detailed walkthrough is available in the blog post linked in the Getting Started section.
• Where can I get help or join the community? The primary channels include the project’s Discord server and the official documentation. You’ll find links to community resources on the Khoj site.

Practical usage scenarios: turning information into action

• Personal knowledge management: Create a knowledge base by indexing your documents, emails, meeting notes, and research papers. Use semantic search to retrieve insights quickly, sparing you hours of manual sifting.
• Research automation: Set up agents to perform literature reviews, extract key findings, and generate summaries or briefs. Let Khoj filter noise, prioritize sources, and present actionable takeaways.
• Content generation and ideation: Use Khoj to brainstorm ideas, draft outlines, or generate visuals. The integrated image generation and text-to-speech features add creative breadth to your workflow.
• Team collaboration and enterprise workflows: In enterprise deployments, Khoj can coordinate across teams, maintain policy-compliant knowledge bases, and provide governance features that align with organizational standards.

See it, use it, contribute: call to action

Khoj invites you to explore, experiment, and contribute. Whether you’re an individual looking to streamline your personal knowledge work or a team seeking scalable AI capabilities, Khoj’s open ecosystem offers a rich playground. Try the cloud app to explore live capabilities, examine the new Pipali on-device coworker, or dive into the self-hosting docs to tailor Khoj to your hardware and privacy requirements. If you’re curious about how to extend Khoj with your own agents or integrations, the blog post on building custom agents is a great starting point.

Images from the Input in context

• Khoj logo: This branding image anchors the post and invites readers to recognize Khoj’s identity.
• Demo GIF: A live-style demonstration of Khoj solving a quadratic equation, illustrating how the system can parse, reason, and present steps clearly.
• Contributors badge: A visual nod to the community that sustains open-source projects like Khoj.

Closing thoughts

Khoj embodies a thoughtful synthesis of accessibility, privacy, and capability. It invites users to start small—on a single device, with one or two models—and grow into a robust, enterprise-grade AI platform that remains controllable, transparent, and collaborative. By supporting diverse models, broad data ingestion, and a flexible deployment strategy, Khoj provides a practical path toward making AI an integrated partner in daily work, research, and creativity. It’s not just about having an AI assistant; it’s about having an AI collaborator you truly own, who adapts to your needs, learns with you, and helps you achieve more with your own data, tools, and workflows.

To get started or to learn more, explore Khoj’s documentation, try the cloud app, or join the community to contribute ideas, fixes, and improvements. Whether you’re experimenting with on-device AI, building custom agents, or planning enterprise deployments, Khoj offers a comprehensive, open, and empowering pathway to a smarter, more productive future.