Organize, compress, and curate OpenClaw memory without polluting permanent memory. Use when the user wants to compress memory files, clean dated memory notes...
Saves 20-40% of LLM tokens by teaching the agent to write compressed responses, compressed memory logs, and compressed pre-compaction summaries. Works via SO...
Automatically audits and compresses memory and context files to reduce token usage and save weekly API costs without data loss.
Build a more reliable OpenClaw agent with battle-tested architecture patterns. Covers WAL protocol, working buffer, memory anti-poisoning, layered memory com...
Agent infrastructure that runs itself. Six tools for autonomous agents: free LLM model recommendations across 17 models, real-time provider availability monitoring, LLM routing proxy with 3% margin, a
--- name: imperial-engine description: 帝王引擎（Emperor Engine）Skill - 极限token消耗测试工具 homepage: https://github.com/openclaw-community/imperial-engine metadata: {"openclaw":{"emo