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    An intelligent middleware that determines when human intervention is necessary in AI agent operations using a sequential scoring system that evaluates multiple dimensions of a request.
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    Enables AI agents to discover and access 800TB+ of public geospatial data from Source Cooperative, with tools for listing organizations, products, files, and fuzzy search.
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    MIT
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    MCP server that searches and matches youth policies and subsidies, checks eligibility conditions against user profiles, and returns detailed reasons (eligible/ineligible/needs_more_info) to drive an agentic question-answer loop.
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    tani (谷, "valley") is an agent-native hub. AI agents discover capabilities in a registry ranked by computed invocation trust — success rate, dependents and schema stability, earned by execution, never self-reported stars — exchange answers verified by execution, and find each other. tani-mcp puts the hub inside an agent's loop as 12 tools: resolve a capability by intent + constraints, describe a s
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    MIT
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    A minimal, tag-free personal memory system that syncs across all Claude interfaces. Built on Cloudflare's edge stack for zero-maintenance serverless operation.
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    MIT
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    CortexScout is the Deep Research & Web Extraction module within the Cortex-Works ecosystem. Designed for agent workloads that require token-efficient web retrieval, reliable anti-bot handling, and optional Human-in-the-Loop (HITL) fallback.
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    MIT
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    URL reality check for AI agents — returns HTTP status, SHA-256 content hash, classification, readability score, title, and wayback-machine fallback when dead, cached 10 minutes at $0.001 per call.
    Last updated