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agent-replay-debugger-mcp

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Captures AI agent runs and turns them into tamper-evident execution records showing tool use, timing, failures, recoveries, and human interventions. Records can be inspected, exported, and verified offline.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables governed tool-calling agents with policy decisions, optional human approval, hash-chained audit logging, and deterministic evaluation.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables deterministic verification of AI agent decisions and actions, providing PASS/FAIL/ABSTAIN verdicts with replayable proofs and an optional signed receipt ledger.
      5 npm
      Apache 2.0
    • F
      license
      Not graded
      quality
      F
      maintenance
      Superseded. Earlier version of the DCL product (MCP endpoint at /sse with API key, plus an offline desktop audit trail). Not the current path for agents. Use the hosted DCL Trust Oracle: https://github.com/Fronesis-Labs/dcl-webhook (MCP endpoint https://mcp.fronesislabs.com/mcp, Streamable HTTP, x402 payment, no API key).
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables capturing a tamper-evident, hash-chained local record of every AI agent tool call — both the decision before a tool runs and its outcome — so you can review what the agent actually did in order, detect edits, deletions, or reordering at the exact index, and export a signed evidence pack any third party can verify with no installs.
      30 PyPI
      2
      MIT