Agent Memory
v1.0.0Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
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byDennis@dennis-da-menace
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name, README, SKILL.md, CLI wrappers, examples, tests, and src/memory.py all describe and implement a local persistent memory system using SQLite. There are no unrelated requirements (no cloud credentials, no network libraries) that would contradict the stated purpose.
Instruction Scope
SKILL.md instructs the agent to instantiate AgentMemory and call methods such as remember(), recall(), learn(), and track_entity(). The code implements exactly those behaviors and only accesses the configured SQLite DB path (default ~/.agent-memory/memory.db). There are no instructions that read unrelated system files, transmit data to external endpoints, or access unexpected environment variables.
Install Mechanism
No install spec is provided (instruction-only skill). The package includes source files but does not declare external installs or downloads; requirements.txt is empty. This is low-risk from an install perspective.
Credentials
The skill declares no required environment variables, no credentials, and no config paths beyond an optional db_path constructor argument. This is proportional for a local memory store.
Persistence & Privilege
The skill persists data to disk by default at ~/.agent-memory/memory.db and creates that directory if missing. always is false and the skill does not request elevated privileges, but it will store potentially sensitive text in an unencrypted SQLite file unless the integrator specifies a different db_path or provides encryption. Consider this permanant-on-disk persistence when deciding to install.
Assessment
This skill appears to do what it says: a local, file-backed memory for agents. Before installing, consider: 1) Data sensitivity — memories are stored in plaintext SQLite by default (~/.agent-memory/memory.db); avoid writing secrets (passwords, API keys) into it or point it to a custom path you control. 2) File permissions — restrict access to the DB file (e.g., chmod 600). 3) Backup / retention — decide how long you want memories kept or enable expiry when calling remember(). 4) If you need encryption or remote storage, modify the code or supply an encrypted DB. The code contains no network calls or credential exfiltration patterns, and tests exercise local behavior, so it looks safe to use with the precautions above.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.