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Related Servers

Alternatives to Turnproof

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Alexa+ agents to maintain auditable operational continuity across shifts by turning speech into verifiable state, persisting unresolved work, refusing unverified actions, and requiring human approval before executing and confirming high-risk tasks.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables governed execution of Alexa+ MCP workflows where agents can propose actions but consequential side effects require separate human approval, producing verifiable execution receipts.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables users to discover hackathons, audit and diff official rules with provenance, generate feasibility-ranked sprint plans, and manage persistent builder profiles and bookmarks through MCP tools in a multimodal voice-and-visual interface.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that enables Alexa+ to autonomously orchestrate multi-step household tasks by decomposing goals into parallel tool calls — cross-session memory and dietary/allergy auditing, culinary planning with wine pairings, Amazon Fresh cart assembly with human-in-the-loop purchase approval, smart-home ambiance and climate control, and calendar scheduling. It pairs AWS Bedrock multi-agent reasoning with Streamable HTTP transport and interactive generative UI cards, carousels, and live IoT sliders.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables consented, daily Alexa check-ins that score speech and memory answers against a personal baseline, flag sustained drift to family, produce clinician summaries, and export de-identified data for research. It also provides MCP tools, resources, prompts, and MCP Apps views for compatible agent hosts.
      3 npm
      MIT