AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.
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AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.
node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news
-n <count>: Number of results (default: 5, max: 20)--deep: Use advanced search for deeper research (slower, more comprehensive)--topic <topic>: Search topic - general (default) or news--days <n>: For news topic, limit to last n daysnode {baseDir}/scripts/extract.mjs "https://example.com/article"
Notes:
TAVILY_API_KEY from https://tavily.com--deep for complex research questions--topic news for current eventsNo reviews yet. Tell others what you thought.
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A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
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Agent islemlerini policy'ye gore denetle. Hassas islem oncesi governance kontrolu calistir. Tetikleyiciler: destructive komut, dosya sistemi erisimi, rate limit, butce kontrolu, trust score yonetimi.
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Evaluate and improve AgentSystem learning quality for memory/self-compound jobs. Use when bots forget, write filler summaries, fail to update learnings, or memory quality regresses over time.
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Operate and validate AgentSystem live quality alarm (systemd timer + alert state) to keep memory/proactivity/consistency regressions visible in real time.
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Audit and improve AgentSystem memory retention, proactive behavior, learning quality, and agent consistency. Use when bots forget context, skip memory writes, wait for explicit prompts, or repeat the same errors across runs.
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Audit and remediate AgentSystem cron output hygiene by detecting raw tool logs, stack traces, and noisy summaries. Use when jobs leak 403/429/internal details, summaries are not user-safe, or post-change validation is required.
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