Hermes-style self-improvement and memory management for OpenClaw agents — learning loop, skill system, persistent memory with overflow archive
--- name: hermes-features-openclaw description: "Hermes-style self-improvement and memory management for OpenClaw agents — learning loop, skill system, persistent memory with overflow archive" --- # Hermes Features for OpenClaw Hermes-style self-improvement and memory management for OpenClaw agents — learning loop, skill system, persistent memory with overflow archive. ## Overview This skill enables OpenClaw agents to integrate Hermes Agent's core capabilities natively without installing Hermes itself: 1. **Closed Learning Loop** — Periodic self-review, pattern extraction, skill creation 2. **Skill System** — Auto-create skills from experiences, progressive disclosure 3. **Persistent Memory** — Capacity-limited with hard write-block and overflow archive ## Features ### Closed Learning Loop - `hermes-style-self-review` cron job (every 30 min) - Reviews recent sessions, extracts reusable patterns - Creates skills or memory entries automatically - Uses GPT-5.5 with high thinking for quality ### Skill System - `auto-skill-builder` — detects when to save workflows as skills - Progressive disclosure (summary → full content → references) - Skill proposals via `skill_workshop` for approval ### Persistent Memory - 4 memory files with strict character limits: - MEMORY.md: 5,000 chars (core agent memory) - USER.md: 1,375 chars (user profile) - memory/YYYY-MM-DD.md: 3,000 chars (daily journal) - working-buffer.md: 1,000 chars (active work buffer) - Hard write-block prevents overflow - Overflow archive prevents data loss: - MEMORY.md → `vault/30-knowledge/MEMORY-overflow.md` - USER.md → `vault/30-knowledge/USER-overflow.md` - daily journals → `vault/10-journal/YYYY-MM-DD.md` - working-buffer → `vault/30-knowledge/working-buffer-overflow.md` ## Installation This skill is part of Aquila's core workspace. No separate installation needed. ## Usage The system runs automatically: - Cron job every 30 minutes - Heartbeat integration for real-time nudges - Memory overflow prevents data loss - Skill creation from complex tasks ## Configuration No configuration needed. Uses existing OpenClaw tools: - `skill_workshop` for skill creation - `cron` for scheduling - `sessions_list`/`sessions_history` for session search - `edit`/`write` for memory management ## Related Files - `vault/30-knowledge/aquila-hermes-features.md` — Full documentation - `vault/30-knowledge/MEMORY-overflow.md` — Archived memory details - `vault/30-knowledge/USER-overflow.md` — Archived user profile details - `vault/10-journal/` — Daily journal archives
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