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 字节
SKILL.md
text/markdown · 1385 字节
cli/entity.py
text/plain · 3626 字节
cli/fact.py
text/plain · 3462 字节
cli/learn.py
text/plain · 2392 字节
examples/basic_usage.py
text/plain · 2848 字节
requirements.txt
text/plain · 48 字节
src/__init__.py
text/plain · 212 字节
src/memory.py
text/plain · 22097 字节
tests/test_memory.py
text/plain · 5253 字节
Security Scan
状态
clean
OpenClaw
gpt-5-mini
OpenClaw 分析
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.
置信度: 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.