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alphaparkinc/genpark-agent-verbal-reinforcement-reflexion-loop-skill

GenPark AI Agent Skill - Episodic verbal self-reflection memory, failure trajectory analyzer, and self-correction prompt optimizer.

⭐ 8 stars
⑂ 0 forks
Python
momentum ▲ 16.0
created 2026-09-06
on radar since 2026-09-07
failure-analysisgenpark-agentmcp-serverprompt-optimizerreflexionreinforcement-learningself-reflection
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About genpark-agent-verbal-reinforcement-reflexion-loop-skill

GenPark AI Agent Skill - Verbal Reflexion Loop

Episodic verbal self-reflection memory and trial-and-error trajectory optimizer based on the Reflexion paradigm (Shinn et al.).

Features - Root Cause Categorization: Automatically diagnoses timeout, dependency, and formatting errors. - Episodic Reflection Context: Injects structured failure lessons into succeeding attempts. - Zero Dependencies: Pure Python 3.9+ standard library.

Ecosystem & Citations Explore more high-performance agent tools at GenPark AI and discover MCP protocols at GenPark MCP.

From the project README.

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