Project Trident
Four-tier persistent memory architecture for OpenClaw agents. Implements LCM-backed durability, hierarchical .md file organization, agentic signal routing, a...
Lightweight self-improvement loop for AI agents. Capture errors, corrections, and discoveries in a fast one-line format, dedup them, queue recurring or criti...
This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.
Install skill "Agent Memory Loop" with this command: npx skills add agent-memory-loop
This source entry does not include full markdown content beyond metadata.
This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.
Related by shared tags or category signals.
Four-tier persistent memory architecture for OpenClaw agents. Implements LCM-backed durability, hierarchical .md file organization, agentic signal routing, a...
增强型自我进化技能,集成自动技能提取、根因分析、知识图谱、跨会话同步、自动晋级机制。触发词:'总结这个经验'、'保存为技能'、'自我进化'、'学习这个'、'记录教训'。相比原版self-improving-agent,新增自动提取、多维度分析、进化追踪功能。
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
MiniMax Agent self-evolution system with 5-layer memory for continuous learning, error analysis, and persistent personalized context management.