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io.github.morluto/flameox

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    • F
      license
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      quality
      A
      maintenance
      Enables coding agents to collect bounded local runtime evidence by coordinating profilers, benchmark tools, trace processors, and direct targets, turning explicit artifacts or commands into typed evidence with provenance and limitations.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to coordinate profilers, benchmark tools, trace processors, and direct local targets so that explicit artifacts or commands become bounded runtime evidence with recorded provenance, coverage, and limitations. Its analysis and capture tools require no workspace setup, and durable evidence preservation remains optional.
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    • F
      license
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      quality
      A
      maintenance
      Enables coding agents to turn explicit artifact paths or argv commands into bounded runtime evidence by coordinating profilers, benchmark tools, trace processors, and direct local targets through named analysis and capture MCP tools. Results are returned inline with provenance, coverage, limitations, and optional durable evidence IDs for inspection and replay.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to run bounded local profiling, tracing, and benchmarking analyses on explicit artifacts or commands, returning typed evidence with provenance, coverage, and limitations.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks by turning explicit local artifacts or commands into bounded, provenance-typed runtime evidence. Exposes named analysis and capture tools over stdio with optional durable preservation, without requiring workspace setup or project configuration.
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    • A
      license
      C
      quality
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      maintenance
      Enables coding agents to query, compare, and audit local profiler traces, benchmarks, memory captures, and execution evidence without uploading code or data, using CLI and MCP interfaces.
      111
      377 PyPI
      180
      MIT