Smart Memory (Zero Dep)

Enhanced memory system for agentic workflows. Automatic memory extraction from conversations, memory type classification (preference/project/technical/lesson...

This skill appears to do what it says: local memory extraction, tagging, decay, and a session WAL. Before installing or enabling: 1) ensure Python 3.10+ and Bash 4+ are available (metadata omitted these but scripts require them), 2) back up any existing ~/.openclaw/workspace data (scripts will read/modify these files), 3) review/adjust OPENCLAW_WORKSPACE if you want files stored elsewhere, 4) understand the WAL rule (the agent will write remembered text to disk before replying) — if you worry about accidental persistence of secrets, test extraction on non-sensitive sample data and review the regex patterns that block tokens/keys, and 5) if you want to limit risk, disable autonomous invocation for the skill or run it in a sandboxed account until you’re comfortable with behavior.

Type: OpenClaw Skill Name: smart-memory-zero-dep Version: 1.1.2 The smart-memory-zero-dep skill is a comprehensive local memory management system for OpenClaw agents, implementing a multi-layered storage architecture (Hot RAM, daily logs, and curated long-term facts). The bundle includes several Python and Bash scripts (session_state.py, session_cache.py, memory_decay.py) designed to handle data isolation, temporal archival, and input sanitization. Notably, the scripts include proactive security features such as hard-coded regex filters to prevent the accidental storage of sensitive credentials like API keys (OpenAI, GitHub, ClawHub), passwords, and private keys. All operations are performed locally within the user's workspace or /tmp directory, with no evidence of network exfiltration or malicious execution logic.