Add hermes-enhancement/: pi-style behavioral enhancement for Hermes agents
Self-service enhancement package for Hermes agents to adopt pi-style conduct quality. Contains: - prompts/behavioral-core.md: Distilled Three Pillars (~800 tokens) - config/compression.yaml: 256K model optimization (80% threshold) - config/mcp-servers.yaml: Tool parity (Context7, GitHub, Firecrawl, etc.) - skills/: On-demand skills for conduct, verification, self-healing - CHECKLIST-POC.md: Tanko POC verification checklist POC pilot: Tanko
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# Compression Configuration — Hermes Pi-Enhancement
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# Based on proven setting from Mumuni (node #483)
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# See: https://git.sysloggh.net/SyslogSolution/homelab_notes
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# For 256K context models (all harness models: qwen3.6-35B-A3B, qwen3.6-27B-code, gemma-4-12b)
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# For 128K context models, use threshold: 0.70, max_context_window: 131072
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compression:
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enabled: true
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threshold: 0.80 # Compress at 80% of context window
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target_ratio: 0.30 # Keep 30% of threshold as working room
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protect_last_n: 40 # Keep last 40 messages intact
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protect_first_n: 3 # Keep first 3 messages (system prompt + identity)
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max_context_window: 262144 # MUST match actual model context length
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hygiene_hard_message_limit: 400
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abort_on_summary_failure: false
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codex_gpt55_autoraise: true
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model: auto
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provider: auto
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