--- title: "khoj vs google_workspace_mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/khoj-ai-khoj-vs-taylorwilsdon-google-workspace-mcp" tools: ["khoj-ai-khoj", "taylorwilsdon-google-workspace-mcp"] --- # khoj vs google_workspace_mcp *GraphCanon updated Aug 26, 2026* ## Verdict Pick khoj if khoj is a self-hostable AI tool that functions as an assistant able to extract information from the web or user documents for deep research tasks. It supports various local and online language models (LLMs) like GPT, LLa; pick google_workspace_mcp if aI-driven server and CLI for interactive Google Workspace control using MCP. [khoj](https://khoj.dev) reports 37k GitHub stars, 2.4k forks, and 133 open issues, last pushed Aug 2, 2026. [google_workspace_mcp](https://workspacemcp.com) has 3.1k stars, 963 forks, and 188 open issues, last pushed Aug 26, 2026. Figures are from public GitHub metadata via [khoj's repository](https://github.com/khoj-ai/khoj) and [google_workspace_mcp's repository](https://github.com/taylorwilsdon/google_workspace_mcp). | | [khoj](/tools/khoj-ai-khoj.md) | [google_workspace_mcp](/tools/taylorwilsdon-google-workspace-mcp.md) | | --- | --- | --- | | Tagline | Your AI second brain. Self-hostable. | Control Google Workspace apps via AI MCP server and CLI tool | | Stars | 36,512 | 3,070 | | Forks | 2,386 | 963 | | Open issues | 133 | 188 | | Language | Python | Python | | Adopt for | khoj is a self-hostable AI tool that functions as an assistant able to extract information from the web or user documents for deep research tasks. It supports various local and online language models (LLMs) like GPT, LLa | AI-driven server and CLI for interactive Google Workspace control using MCP | | Persona | - | - | | Runtime | - | - | | License | khoj is distributed under the GNU Affero General Public License v3.0 (AGPL-3.0), which entails users must make source code available if they run modified versions of khoj on a network and allow others | MIT | | Categories | AI Agents, Developer Tools, Model Training | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [khoj](/tools/khoj-ai-khoj.md) | [google_workspace_mcp](/tools/taylorwilsdon-google-workspace-mcp.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 14d | 0d | | Open issues (now) | 133 | 188 | | Stars delta | +702 (30d) | +158 (30d) | | Open issues delta | +14 (30d) | +23 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/khoj-ai-khoj/trust.md) | [trust report](/tools/taylorwilsdon-google-workspace-mcp/trust.md) | ## Decision facts: khoj - **Hosting:** self hosted - **Pricing:** freemium - khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing. - **Adopt for:** khoj is a self-hostable AI tool that functions as an assistant able to extract information from the web or user documents for deep research tasks. It supports various local and online language models (LLMs) like GPT, LLa - **License detail:** khoj is distributed under the GNU Affero General Public License v3.0 (AGPL-3.0), which entails users must make source code available if they run modified versions of khoj on a network and allow others ## Decision facts: google_workspace_mcp - **Adopt for:** AI-driven server and CLI for interactive Google Workspace control using MCP ## Choose when ### Choose khoj if… - License: khoj is AGPL-3.0, google_workspace_mcp is MIT. - Pricing: khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing.. - Tags unique to khoj: agent, assistant, chat, llm. - Also covers Model Training. - You're looking to build custom agents for specific tasks, making it ideal if you require a tool with high customization options. ### Choose google_workspace_mcp if… - License: google_workspace_mcp is MIT, khoj is AGPL-3.0. - Tags unique to google_workspace_mcp: google-workspace, mcp-server, model-context-protocol. - You need AI-powered automation across multiple Google Workspace apps like Gmail, Calendar, Docs, Sheets ## When NOT to use khoj - When you need real-time responses where latency needs to be minimized, since self-hosting might introduce delays. - If you prefer cloud-based solutions for maintenance and scaling purposes without managing your own servers, khoj may not be the best option. ## When NOT to use google_workspace_mcp - If your project focuses solely on a single app or does not benefit from broader automated control over multiple services - For scenarios where MCP compatibility is not necessary and simpler direct API access suffices ## Common questions ### What is the difference between khoj and google_workspace_mcp? khoj: Your AI second brain. Self-hostable.. google_workspace_mcp: Control Google Workspace apps via AI MCP server and CLI tool. See the comparison table for live GitHub stats and shared categories. ### When should I choose khoj over google_workspace_mcp? Choose khoj over google_workspace_mcp when License: khoj is AGPL-3.0, google_workspace_mcp is MIT; Pricing: khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing.; Tags unique to khoj: agent, assistant, chat, llm; Also covers Model Training; You're looking to build custom agents for specific tasks, making it ideal if you require a tool with high customization options. ### When should I choose google_workspace_mcp over khoj? Choose google_workspace_mcp over khoj when License: google_workspace_mcp is MIT, khoj is AGPL-3.0; Tags unique to google_workspace_mcp: google-workspace, mcp-server, model-context-protocol; You need AI-powered automation across multiple Google Workspace apps like Gmail, Calendar, Docs, Sheets. ### When should I avoid khoj? When you need real-time responses where latency needs to be minimized, since self-hosting might introduce delays. If you prefer cloud-based solutions for maintenance and scaling purposes without managing your own servers, khoj may not be the best option. ### When should I avoid google_workspace_mcp? If your project focuses solely on a single app or does not benefit from broader automated control over multiple services For scenarios where MCP compatibility is not necessary and simpler direct API access suffices ### Is khoj or google_workspace_mcp more popular on GitHub? khoj has more GitHub stars (36,512 vs 3,070). Stars measure visibility, not whether either tool fits your constraints. ### Are khoj and google_workspace_mcp open source? Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, google_workspace_mcp: MIT). ### Where can I find alternatives to khoj or google_workspace_mcp? GraphCanon lists graph-backed alternatives at [khoj alternatives](/tools/khoj-ai-khoj/alternatives) and [google_workspace_mcp alternatives](/tools/taylorwilsdon-google-workspace-mcp/alternatives) ([khoj markdown twin](/tools/khoj-ai-khoj/alternatives.md), [google_workspace_mcp markdown twin](/tools/taylorwilsdon-google-workspace-mcp/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-taylorwilsdon-google-workspace-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, khoj or google_workspace_mcp? khoj: Active. google_workspace_mcp: 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 google_workspace_mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [khoj trust report](/tools/khoj-ai-khoj/trust); [google_workspace_mcp trust report](/tools/taylorwilsdon-google-workspace-mcp/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/_