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Khoj: Run Your Own AI Brain Without Paying Per Query

Self-hosted RAG agent that turns local LLMs into a searchable knowledge system. Index your docs, query offline, skip the API fees.

khoj-ai/khoj

Khoj is a self-hosted AI system that indexes your documents—PDFs, notes, web articles, whatever—and lets you ask questions against them using any LLM you want (GPT, Claude, Llama, Mistral, etc.). Think of it as building your own ChatGPT, but the knowledge lives on your machine and you're not paying per API call. You can run agents on a schedule, do deep research across multiple sources, or just get instant answers from your personal knowledge base. For solopreneurs tracking client docs or engineers digging through codebases, that's time and money saved. Plus: no data leaves your server.

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Self-hosted AI that indexes your docs—no API fees

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Khoj lets you build a personal AI second brain using any LLM. Index your documents locally, run agents on a schedule, get answers without touching an API endpoint. Free and open-source. Worth testing if you're knowledge-heavy or cost-conscious.

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Building with local LLMs? Khoj indexes your docs, runs agents, and answers questions—all self-hosted. No API fees, no latency waiting on external services. Skip the cloud tax. https://github.com/khoj-ai/khoj

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For teams handling sensitive docs or burning API budget: Khoj is a self-hosted AI indexing system that turns any LLM into your searchable knowledge base. Schedule automations, run agents, stay offline-first. Worth a look if you're tired of per-token pricing.

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I've been running local LLMs for a while now—the latency and cost savings are real. Just found Khoj and it's the first tool that makes it actually *useful* at scale. Why it landed: → Self-hosted RAG that indexes your docs, web sources, or both. No API tax. → Works with any LLM (Claude, Llama, Qwen, Mistral, GPT if you want). Not locked in. → Agents + automation. Schedule research, build workflows, let it run. → Offline-first. Knowledge retrieval that doesn't phone home. Solves the real problem: most AI tools make you choose between privacy and capability. Khoj lets you have both—without the vendor lock-in. If you're building something that needs to reason over your own data at scale, this cuts through the noise fast. https://github.com/khoj-ai/khoj

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built a RAG system last year that cost $500/mo in API calls. just spun up Khoj locally and got the same accuracy for ~$0 infra. self-hosted LLM + doc indexing + agent automation. works offline. swaps claude/llama/qwen on the fly. for solopreneurs doing knowledge work, this is a cheat code. https://github.com/khoj-ai/khoj