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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to coordinate local profilers, benchmark tools, trace processors, and direct targets, turning explicit artifacts or commands into bounded runtime evidence with provenance, coverage, and limitations. It exposes analysis and capture tools that help trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks without workspace setup or a hosted service.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables local candidate review of ONNX or TFLite models by checking static evidence and externally measured results against a fixed policy, producing accept/reject/hold evidence ZIPs for AI agent workflows.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that autonomously optimizes ONNX ML models for Arm64 deployment, providing tools to analyze models, apply real INT8 quantization, benchmark performance, and generate Arm64-optimized Docker deployment packages.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides an MCP-compatible profiler for measuring edge and on-device LLM inference latency, including TTFT, TPOT, tokens-per-second throughput, and P50/P90/P99 jitter distributions. It enables agents and developers to run these telemetry benchmarks from MCP clients such as Claude Desktop, Cursor, and Windsurf.
      7
      MIT