Unified Memory Architect

Unified Memory Architect manages up to 1760 dream memories with layered indexing and hybrid search for fast, efficient storage and retrieval on OpenClaw Agent.

This package appears to implement a local memory manager, but the repository also contains agent-level guidance that tells an agent to read and update many workspace files and to commit/push changes — actions that can expose sensitive data or publish it remotely. Before installing or enabling this skill: 1) Inspect the actual runtime scripts (memory/scripts/*.cjs and any .cjs referenced in examples) for network calls (fetch/axios/http, sockets), child_process / exec usage, and any code that reads arbitrary filesystem paths. 2) Verify where the skill will read/write (confirm the symlink /root/.openclaw/workspace or other configured memory directory). 3) Remove or sandbox git/CI credentials (or run in an isolated environment) if you do not want accidental pushes. 4) Prefer installing only from a known upstream (confirm the GitHub repo and maintainer contact) and check commit history. 5) If you want, share the memory/scripts/*.cjs files and any verify-system/import scripts and I can inspect them specifically for network exfiltration or dangerous exec calls.

Type: OpenClaw Skill Name: unified-memory-architect Version: 1.0.0 The 'Unified Memory Architect' skill bundle is a comprehensive and well-documented memory management system for OpenClaw agents. It facilitates the storage and retrieval of 'dream memories' using a structured 7-layer directory and hybrid search algorithms (BM25, Vector, RRF), as detailed in `SKILL.md` and `docs/ARCHITECTURE.md`. The bundle includes extensive agent-specific operational guidelines in `AGENTS.md` and `SOUL.md` that define a persona and proactive behaviors while explicitly forbidding data exfiltration and destructive commands. No malicious code, obfuscation, or unauthorized network activity was detected in the provided scripts or documentation.