memory-guardian-agnet

Agent workspace memory lifecycle management via 10 MCP tools + batch maintenance. Manages MEMORY.md, memory/ directory, meta.json, quality gate, Bayesian dec...

This package appears to do what it says: local maintenance of an agent workspace (meta.json, MEMORY.md, memory/ files, compaction, decay, case workflows). Before installing or enabling: (1) Review and back up any real workspace you care about — the tool auto-writes and can auto-upgrade meta.json; (2) Use an explicit --workspace or set MG_WORKSPACE/OPENCLAW_WORKSPACE to an isolated test directory to avoid accidental writes to your default home workspace; (3) If you need to audit data flows, skim mg_events/telemetry.py and any code that writes logs to confirm there are no remote network sinks (the package appears local); (4) Because the MCP server imports and executes the bundled scripts at runtime, inspect any third-party code you don't trust and prefer running in a sandboxed environment if source provenance is unknown; (5) Note the small documentation mismatch: SKILL.md and code expect MG_WORKSPACE/OPENCLAW_WORKSPACE but the skill metadata lists no required env vars — set them explicitly to avoid surprises.

Type: OpenClaw Skill Name: memory-guardian-agent Version: 1.0.0 The memory-guardian skill is a comprehensive workspace memory management system for AI agents. It implements sophisticated features such as Bayesian decay, quality gates, and automated file synchronization. Security analysis reveals defensive design patterns, including a dedicated security layer (security_layer.py) that uses regex patterns to prevent the exfiltration of API keys and private data. The MCP server (mcp_server.py) includes explicit protections against path traversal attacks by validating workspace paths using realpath and checking for parent directory traversal. The code is well-structured, lacks any external network calls or obfuscation, and includes an extensive test suite, indicating a legitimate and well-maintained tool.