Agent Memory
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
v1.0.0
2026/01/31
Initial release - SQLite-backed persistent memory for AI agents
Security Scan
Status
clean
OpenClaw
gpt-5-mini
OpenClaw analysis
This skill is internally coherent: it implements a local SQLite-backed agent memory (reads/writes ~/.agent-memory/memory.db by default), requires no credentials or external network access, and its files match the SKILL.md usage.
Confidence: high
VirusTotal
Type: OpenClaw Skill Name: agent-memory Version: 1.0.0 The OpenClaw AgentMemory skill bundle is a self-contained, SQLite-based persistent memory system for AI agents. All code and documentation are aligned with its stated purpose of storing facts, lessons, and entities. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts against the analyzing agent. The skill uses standard Python libraries, manages its database in a user-specific directory (`~/.agent-memory/memory.db`), and explicitly states 'No external dependencies' in `requirements.txt`, indicating a low supply chain risk.