--- title: "khoj vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/khoj-ai-khoj-vs-panniantong-agent-reach" tools: ["khoj-ai-khoj", "panniantong-agent-reach"] --- # khoj vs Agent-Reach *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 Agent-Reach if agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content. [khoj](https://khoj.dev) reports 37k GitHub stars, 2.5k forks, and 150 open issues, last pushed Aug 2, 2026. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 84k stars, 7.3k forks, and 153 open issues, last pushed Sep 15, 2026. Figures are from public GitHub metadata via [khoj's repository](https://github.com/khoj-ai/khoj) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [khoj](/tools/khoj-ai-khoj.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Self-hostable AI second brain for personalized research and automation | AI Agent for Automated Web and Social Media Data Extraction | | Stars | 37,399 | 83,516 | | Forks | 2,484 | 7,315 | | Open issues | 150 | 153 | | Language | Python | Python | | 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. | Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content. | | 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. | MIT | | 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) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 47d | 4d | | Open issues (now) | 150 | 153 | | Stars delta | +887 (30d) | +23k (30d) | | Open issues delta | +17 (30d) | -15 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/khoj-ai-khoj/trust.md) | [trust report](/tools/panniantong-agent-reach/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: Agent-Reach - **Adopt for:** Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content. ## Choose when ### Choose khoj if… - License: khoj is AGPL-3.0, Agent-Reach is MIT. - 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. - khoj ships Docker support for self-hosted deployment. - 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 Agent-Reach if… - License: Agent-Reach is MIT, khoj is AGPL-3.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - When needing to bypass costly API fees for extensive social media platform data extraction ## 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 Agent-Reach - If strict compliance with website scraping policies is critical due to its use of scraping techniques - When direct interaction through APIs for precision and reliability is preferred over scraping ## Common questions ### What is the difference between khoj and Agent-Reach? khoj: Self-hostable AI second brain for personalized research and automation. Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. See the comparison table for live GitHub stats and shared categories. ### When should I choose khoj over Agent-Reach? Choose khoj over Agent-Reach when License: khoj is AGPL-3.0, Agent-Reach is MIT; 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; khoj ships Docker support for self-hosted deployment; 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 Agent-Reach over khoj? Choose Agent-Reach over khoj when License: Agent-Reach is MIT, khoj is AGPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; When needing to bypass costly API fees for extensive social media platform data extraction. ### 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 Agent-Reach? If strict compliance with website scraping policies is critical due to its use of scraping techniques When direct interaction through APIs for precision and reliability is preferred over scraping ### Is khoj or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (83,516 vs 37,399). Stars measure visibility, not whether either tool fits your constraints. ### Are khoj and Agent-Reach open source? Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, Agent-Reach: MIT). ### Where can I find alternatives to khoj or Agent-Reach? GraphCanon lists graph-backed alternatives at [khoj alternatives](/tools/khoj-ai-khoj/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([khoj markdown twin](/tools/khoj-ai-khoj/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/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-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, khoj or Agent-Reach? khoj: Steady. Agent-Reach: Very active. 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 Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [khoj trust report](/tools/khoj-ai-khoj/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/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/_