Long-term memory management system for OpenClaw agents. Automatically archives conversations, organizes memories, and provides semantic search capabilities.

This package is a small, local file-based memory helper, but its docs overstate capabilities. Before installing or enabling it: 1) Note that 'semantic search' is not implemented — the search is simple keyword matching. 2) The README claims automatic saving, but the code provides a MemoryManager class you must call; there is no automatic agent hook. 3) The code defaults to /root/.openclaw/workspace (not the ./memory/ path shown in docs) and will create/append files there — update the workspace path or run in an isolated workspace if you don't want persistent files in that location. 4) Review the Python file yourself; it contains no network calls or secret access, but any skill that writes local files can store sensitive conversation contents. If you need true semantic search, ask the author for embedding/vector search integration or add it yourself; if you need automatic capture, require explicit agent integration hooks. Install in a test environment first and confirm behavior.

Type: OpenClaw Skill Name: xiucheng-memory-manager Version: 1.0.0 The memory-manager skill is a straightforward utility for logging and searching conversation history locally within the OpenClaw workspace. The code in memory_manager.py performs standard file I/O operations to manage markdown files and lacks any indicators of data exfiltration, remote execution, or malicious intent.