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genpark-reflexion-episodic-memory-evaluator-skill

mcp
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SUMMARY

Reflexion architecture maintaining episodic failure memories and verbal reinforcement learning signals

README.md

Reflexion Episodic Memory Evaluator Skill

High-efficiency, zero-dependency Python implementation of the Reflexion architecture for verbal reinforcement learning and episodic memory accumulation.

Features

  • Verbal Reinforcement Learning: Converts numeric feedback and failure traces into structured natural-language self-critique.
  • Episodic Reflection Buffer: Seeds subsequent attempts with reflected wisdom from historical trials.
  • Zero External Dependencies: Pure Python standard library.
  • Native MCP Protocol: JSON-RPC 2.0 stdio server compatible with Claude Desktop, Cursor, and Windsurf.

Architecture

graph TD
    Trial["Episode Trial Execution"] --> Scorer["Evaluation Metric"]
    Scorer --> Reflection["Self-Reflection Engine"]
    Reflection --> Memory["Episodic Memory Buffer"]
    Memory --> NextTrial["Next Episode Prompt Injection"]

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