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Khoj
Research AI

Khoj

Open-source AI second brain with local SLMs, documents, and web search

4.8
freemiumintermediateTrendingVerifiedSince 2025-04
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About Khoj

Khoj is an open-source AI desktop assistant and personal second brain that allows users to search, chat, and synthesize insights across their personal notes, documents, and code repositories. Operating seamlessly with local SLMs (via Ollama) or hosted frontier models, Khoj prioritizes user privacy and offline autonomy. Whether indexing Obsidian markdown vaults, PDF research papers, Emacs org-mode files, or browser bookmarks, Khoj acts as a unified knowledge retrieval agent that answers complex multi-hop questions directly from your private workspace.

Khoj supports scheduled automated research agents that browse the web, compile daily intelligence briefings, and synthesize relevant industry updates directly to your inbox or WhatsApp. The architecture combines dense embeddings with hybrid local vector indexes, ensuring sub-second response times on standard consumer laptops. Developers can run Khoj as a native desktop client, Emacs package, Obsidian plugin, or private self-hosted Docker server with complete offline privacy.

How It Works
1

Install Khoj via Docker, the native desktop application, or the cloud hosted dashboard.

2

Connect your local knowledge sources (Obsidian vault, PDF library, GitHub repos, or Notion workspace).

3

Select your preferred AI model: local Ollama models (Llama 3, Mistral) for privacy or cloud models for complex reasoning.

4

Ask questions in natural language to search across all your documents simultaneously.

5

Configure autonomous research agents to monitor web topics and generate recurring synthesized summaries.

Platforms
Webmacoswindowslinuxself-hostable
Best For
researchersDevelopersStudentswritersknowledge-workers
Screenshot
Khoj screenshot

Capabilities & Features

Free Tier
API Access
Open Source
Works Offline
Customizable
Multimodal
Voice Input
Image Input
File Upload
Web Search
Plugins
Memory
Self-Hostable
No Signup RequiredImage OutputVideo InputVideo OutputAudio OutputCode ExecutionCollaborationWhite LabelBrowser Extension

Common Use Cases

1

personal-knowledge-management

2

offline-ai-chat

3

document-search

4

automated-research

5

obsidian-ai

Frequently Asked Questions

Can Khoj run completely offline?

Yes, Khoj can run 100% offline on your local computer when paired with Ollama or local small language models without transmitting any data over the internet.

Does Khoj integrate with Obsidian?

Yes, Khoj provides an official Obsidian community plugin that allows you to chat with your markdown vault directly inside Obsidian.

Is Khoj free?

Yes, the self-hosted open-source version of Khoj is completely free with no usage limits. A hosted cloud subscription is available for $8/month.

Pricing Modelfreemium

Free Plan

100% free and open-source self-hosted version with unlimited local document indexing

Paid Plan

Cloud hosted plan at $8/mo with hosted GPT-4o, Claude 3.5, and automated web research agents

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Pros & Cons

100% open source with complete local offline privacy and zero telemetry

Native plugins for Obsidian, Emacs, and desktop operating systems

Supports local models via Ollama as well as hosted frontier LLMs

Autonomous recurring web research agents deliver briefings to email and chat

Blazing fast hybrid semantic retrieval across private document collections

Self-hosting local LLMs requires modern computer hardware with sufficient RAM and VRAM

Cloud plan required for users who do not want to manage local Docker containers

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