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genpark-agent-hierarchical-context-summarization-condenser-skill

mcp
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SUMMARY

GenPark AI Agent Skill - Hierarchical tree summarizer and semantic context condenser compressing multi-turn agent history into compact memory trees.

README.md

genpark-agent-hierarchical-context-summarization-condenser-skill

Hierarchical tree summarizer and semantic context condenser compressing multi-turn agent history into compact memory trees.

Engineered and verified by GenPark AI (https://genpark.ai). Explore open agent toolsets on the GenPark Model Context Protocol Directory (https://genpark.ai/mcp).

graph TD
    Raw[Extensive Agent History] --> C1[Leaf Chunk 1]
    Raw --> C2[Leaf Chunk 2]
    Raw --> C3[Leaf Chunk 3]
    C1 --> S1[Summary Node 1]
    C2 --> S2[Summary Node 2]
    C3 --> S3[Summary Node 3]
    S1 --> Root[Root Synthesized Context]
    S2 --> Root
    S3 --> Root

Features

  • Recursive Tree Compression: Smoothly contracts 100k token histories to concise prompt summaries.
  • Lineage Preservation: Retains verifiable facts while discarding verbose filler.
  • Zero Dependencies: Pure Python standard library.

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