Agent Memory
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
README.md
text/markdown · 5617 bytes
SKILL.md
text/markdown · 1385 bytes
cli/entity.py
text/plain · 3626 bytes
cli/fact.py
text/plain · 3462 bytes
cli/learn.py
text/plain · 2392 bytes
examples/basic_usage.py
text/plain · 2848 bytes
requirements.txt
text/plain · 48 bytes
src/__init__.py
text/plain · 212 bytes
src/memory.py
text/plain · 22097 bytes
tests/test_memory.py
text/plain · 5253 bytes
skill-card.md
text/markdown · 2068 bytes
Security Scan
Status
clean
OpenClaw
gpt-5.5
OpenClaw analysis
This is a disclosed local memory skill that stores agent facts, lessons, and entities in SQLite, with no evidence of network exfiltration or hidden execution.
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.