{"schema":"cloudm0n.agent-handoff.v1","generatedAt":"2026-09-01T19:35:19.101Z","software":{"slug":"julien040/anyquery","name":"anyquery","source":"https://github.com/julien040/anyquery","tagline":"One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.","summary":"Provisional external discovery candidate. One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.","topics":["ai","analytics","api","business-intelligence","chatgpt","csv","data-visualization","database","github","go","json","llm"]},"decision":{"fitScore":53,"verdict":"NICHE","analysisState":"ANALYZED","whatItDoes":"One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.","whyFound":"CLOUDM0N matched this repository through its capability signals: ai, analytics, api, business-intelligence, chatgpt.","bestFor":"Agents and teams that specifically need the capability provided by anyquery.","tradeOff":"No explicit trade-off is documented in the current CLOUDM0N analysis. Review the source, trust evidence, and target environment before adoption.","adoption":"VERIFY_FIRST"},"trust":{"security":{"status":"REVIEW","score":55,"commitSha":"4b7f0c94aa859f315fb6be42d6b46f663d0f9ef5","scannedAt":"2026-08-30T02:18:30.146Z"}},"architecture":{"evidenceLevel":"CODE_EVIDENCE","source":"ARCHITECTURE_SCAN","commitSha":"4b7f0c94aa859f315fb6be42d6b46f663d0f9ef5","strategy":null,"runtimeImage":null,"workdir":null,"protocol":null,"capabilities":["ai","analytics","api","business-intelligence","chatgpt","csv","data-visualization","database","github","go","json","llm"],"note":"Architecture context comes from static code and repository evidence. CLOUDM0N does not execute the repository before adoption."},"install":{"evidenceLevel":"AGENT_VERIFICATION_REQUIRED","source":null,"installCommand":null,"startCommand":null,"healthCommand":null,"networkDuringInstall":null,"protocolProbe":null,"caution":"Installation is intentionally deferred to the user’s coding agent. The agent must inspect official documentation and the target environment before proposing or making changes."},"alternatives":[{"slug":"headroomlabs-ai/headroom","name":"headroom","fitScore":63,"verdict":"NICHE","security":{"status":"REVIEW","score":45},"focus":"Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server."},{"slug":"browserwing/browserwing","name":"browserwing","fitScore":57,"verdict":"NICHE","security":{"status":"REVIEW","score":45},"focus":"BrowserWing turns your browser actions into MCP commands Or Claude Skill, allowing AI agents to control browsers efficiently and reliably. Say goodbye to slow, token-heavy LLM interactions — let agents call commands directly for faster automation. Perfect for AI-driven tasks, browser automation, and boosting productivity."},{"slug":"holaboss-ai/holaOS","name":"holaOS","fitScore":71,"verdict":"WATCH","security":{"status":"REVIEW","score":45},"focus":"holaOS คือ Agentic OS ที่ทำให้ AI Agent สามารถทำงานดิจิทัลได้ทุกอย่างบนคอมพิวเตอร์ของคุณ ไม่ว่าจะเป็นการจัดการไฟล์ ท่องเว็บ หรือรันโปรแกรมต่างๆ ผ่าน Natural Language ด้วย Electron + TypeScript + MCP Protocol ที่ Open Source สำหรับ Developer ที่อยากสร้าง Desktop AI Agent ของตัวเอง"}],"nextAction":"Review or complete Security evidence before adoption. Do not install based on Fit alone.","policy":{"sponsoredRanking":false,"cloudm0nExecutesInstall":false,"approvalRequiredBeforeChanges":true,"fitDoesNotOverrideTrust":true}}