Agent Memory Temp
v1.0.0Persistent memory system enabling AI agents to remember facts, learn from experiences, and track entities across sessions for improved context awareness.
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name, description, SKILL.md, README, CLI wrappers, tests, and src/memory.py all implement a local persistent memory system (facts, lessons, entities, export). There are no unrelated env vars or external services requested. Minor inconsistency: SKILL.md and README use the install command 'clawdhub install agent-memory' while the registry entry here is 'agent-memory-temp' (naming mismatch) — this is likely benign but could confuse installers.
Instruction Scope
Runtime instructions and code operate locally (SQLite DB at ~/.agent-memory/memory.db by default) and the SKILL.md describes how to integrate the memory into agent lifecycle hooks. The instructions and code can store arbitrary conversation content and other facts persistently — this is expected for a memory skill but is a privacy consideration. There are no instructions to read arbitrary system files, access other credentials, call external endpoints, or run shell commands beyond normal Python usage.
Install Mechanism
No install spec is provided (instruction-only install or manual copy of src/memory.py), and the package claims zero external dependencies (uses Python stdlib sqlite3/json/etc.). Code files are bundled with the skill; nothing downloads or extracts arbitrary code at install time.
Credentials
The skill requests no environment variables, no credentials, and no config paths beyond a local SQLite DB (default ~/.agent-memory/memory.db). The level of access requested is proportional to a local memory capability.
Persistence & Privilege
The skill persists user data in a local database (by default in the user's home directory). always:false and no special platform privileges are requested, but persistent storage of conversation content increases privacy risk — users should treat stored memories as sensitive data and manage file permissions, backups, and deletion accordingly. The skill does not attempt to modify other skills' configs.
Assessment
This skill appears to do what it says: a local SQLite-backed memory for agents. Before installing, consider: (1) Privacy — it will persist conversation content and other facts to ~/.agent-memory/memory.db by default; ensure you are comfortable storing that data locally and set appropriate file permissions or use a custom db_path (or :memory: for ephemeral use). (2) Review the code if you have strict security policies — the implementation appears to be pure Python/stdlib and contains no network calls or credential access, but reading the source is quick and recommended. (3) FTS5: the code uses SQLite FTS5 (virtual table); on some systems the Python sqlite3 build may lack FTS5 support — test in a safe environment. (4) Note the minor naming mismatch: documentation uses 'agent-memory' while this registry item is 'agent-memory-temp' — ensure you install the correct package/version. If you need encrypted storage, use an encrypted filesystem or modify the code to add encryption at rest before storing sensitive content.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.