--- title: "khoj vs LLocalSearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/khoj-ai-khoj-vs-nilsherzig-llocalsearch" tools: ["khoj-ai-khoj", "nilsherzig-llocalsearch"] --- # khoj vs LLocalSearch *GraphCanon updated Sep 20, 2026* ## Verdict Pick khoj if khoj is a self-hosted AI assistant that supports integration with multiple LLMs, enabling users to build custom agents and conduct deep research using both web and local documents; pick LLocalSearch if lLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys. [khoj](https://khoj.dev) reports 37k GitHub stars, 2.5k forks, and 150 open issues, last pushed Aug 2, 2026. [LLocalSearch](https://github.com/nilsherzig/LLocalSearch) has 5.9k stars, 363 forks, and 58 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [khoj's repository](https://github.com/khoj-ai/khoj) and [LLocalSearch's repository](https://github.com/nilsherzig/LLocalSearch). | | [khoj](/tools/khoj-ai-khoj.md) | [LLocalSearch](/tools/nilsherzig-llocalsearch.md) | | --- | --- | --- | | Tagline | Self-hostable AI second brain for personalized research and automation | Locally running search aggregator using LLM Agents | | Stars | 37,399 | 5,945 | | Forks | 2,484 | 363 | | Open issues | 150 | 58 | | Language | Python | Go | | Adopt for | Khoj is a self-hosted AI assistant that supports integration with multiple LLMs, enabling users to build custom agents and conduct deep research using both web and local documents. | LLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys. | | Persona | - | - | | Runtime | - | - | | License | Khoj is licensed under AGPL-3.0, which means it is free to use, modify, and distribute, but any derivative works must also be released under the same license. | The tool is released under the Apache-2.0 license, allowing for extensive use including modification and redistribution with proper attribution. | | Categories | AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [khoj](/tools/khoj-ai-khoj.md) | [LLocalSearch](/tools/nilsherzig-llocalsearch.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Archived (8%) | | Days since push | 47d | 166d | | Archived on GitHub | No | Yes | | Open issues (now) | 150 | 58 | | Stars delta | +887 (30d) | -10 (30d) | | Open issues delta | +17 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/khoj-ai-khoj/trust.md) | [trust report](/tools/nilsherzig-llocalsearch/trust.md) | ## Decision facts: khoj - **Pricing:** freemium - Khoj is free to use, but users may incur costs related to hosting and the LLMs they choose to integrate. - **Requirements:** Min 4 GB RAM; Requires Docker; Khoj requires Docker for setup and operation.; Users must have a Python environment and the necessary dependencies installed. - **Adopt for:** Khoj is a self-hosted AI assistant that supports integration with multiple LLMs, enabling users to build custom agents and conduct deep research using both web and local documents. - **License detail:** Khoj is licensed under AGPL-3.0, which means it is free to use, modify, and distribute, but any derivative works must also be released under the same license. ## Decision facts: LLocalSearch - **Pricing:** freemium - Free to use, but customization or complex setups may require additional expertise - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** LLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys. - **License detail:** The tool is released under the Apache-2.0 license, allowing for extensive use including modification and redistribution with proper attribution. ## Choose when ### Choose khoj if… - khoj is primarily Python; LLocalSearch is Go. - License: khoj is AGPL-3.0, LLocalSearch is Apache-2.0. - Pricing: Khoj is free to use, but users may incur costs related to hosting and the LLMs they choose to integrate.. - Requirements: Min 4 GB RAM; Requires Docker; Khoj requires Docker for setup and operation.; Users must have a Python environment and the necessary dependencies installed.. - Tags unique to khoj: agent, ai, assistant, chat. - Also covers Developer Tools, Inference & Serving, Model Training. - When you need a self-hosted solution for personalized research and automation that can integrate with a variety of LLMs, including GPT, Claude, Gemini, LLaMA, Qwen, and Mistral. ### Choose LLocalSearch if… - LLocalSearch is primarily Go; khoj is Python. - License: LLocalSearch is Apache-2.0, khoj is AGPL-3.0. - Pricing: Free to use, but customization or complex setups may require additional expertise. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to LLocalSearch: agent-based-search, docker-supported, language models, llm. - When you prefer local processing for privacy reasons ## When NOT to use khoj - If you are looking for a cloud-based service without the need for self-hosting, Khoj may not be the best fit. - Khoj might not be ideal if you are seeking a tool that does not support a wide range of LLMs and requires a more specialized integration. - If your research and automation needs are simple and do not require deep integration with local documents or web sources, a more straightforward tool might be more appropriate. ## When NOT to use LLocalSearch - In environments where cloud-based solutions are mandatory due to company policies - If real-time responses are required as LLocalSearch might have latency issues depending on local resources - For users who prefer simple installations without setting up a local Docker environment ## Common questions ### What is the difference between khoj and LLocalSearch? khoj: Self-hostable AI second brain for personalized research and automation. LLocalSearch: Locally running search aggregator using LLM Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose khoj over LLocalSearch? Choose khoj over LLocalSearch when khoj is primarily Python; LLocalSearch is Go; License: khoj is AGPL-3.0, LLocalSearch is Apache-2.0; Pricing: Khoj is free to use, but users may incur costs related to hosting and the LLMs they choose to integrate.; Requirements: Min 4 GB RAM; Requires Docker; Khoj requires Docker for setup and operation.; Users must have a Python environment and the necessary dependencies installed.; Tags unique to khoj: agent, ai, assistant, chat; Also covers Developer Tools, Inference & Serving, Model Training; When you need a self-hosted solution for personalized research and automation that can integrate with a variety of LLMs, including GPT, Claude, Gemini, LLaMA, Qwen, and Mistral. ### When should I choose LLocalSearch over khoj? Choose LLocalSearch over khoj when LLocalSearch is primarily Go; khoj is Python; License: LLocalSearch is Apache-2.0, khoj is AGPL-3.0; Pricing: Free to use, but customization or complex setups may require additional expertise; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to LLocalSearch: agent-based-search, docker-supported, language models, llm; When you prefer local processing for privacy reasons. ### When should I avoid khoj? If you are looking for a cloud-based service without the need for self-hosting, Khoj may not be the best fit. Khoj might not be ideal if you are seeking a tool that does not support a wide range of LLMs and requires a more specialized integration. If your research and automation needs are simple and do not require deep integration with local documents or web sources, a more straightforward tool might be more appropriate. ### When should I avoid LLocalSearch? In environments where cloud-based solutions are mandatory due to company policies If real-time responses are required as LLocalSearch might have latency issues depending on local resources For users who prefer simple installations without setting up a local Docker environment ### Is khoj or LLocalSearch more popular on GitHub? khoj has more GitHub stars (37,399 vs 5,945). Stars measure visibility, not whether either tool fits your constraints. ### Are khoj and LLocalSearch open source? Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, LLocalSearch: Apache-2.0). ### Where can I find alternatives to khoj or LLocalSearch? GraphCanon lists graph-backed alternatives at [khoj alternatives](/tools/khoj-ai-khoj/alternatives) and [LLocalSearch alternatives](/tools/nilsherzig-llocalsearch/alternatives) ([khoj markdown twin](/tools/khoj-ai-khoj/alternatives.md), [LLocalSearch markdown twin](/tools/nilsherzig-llocalsearch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/khoj-ai-khoj-vs-nilsherzig-llocalsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, khoj or LLocalSearch? khoj: Steady. LLocalSearch: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for khoj and LLocalSearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [khoj trust report](/tools/khoj-ai-khoj/trust); [LLocalSearch trust report](/tools/nilsherzig-llocalsearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=khoj-ai-khoj`](/api/graphcanon/graph?tool=khoj-ai-khoj) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_