Agent Memory 1.0.0
v1.0.0Persistent memory system for AI agents to remember facts, learn from experiences, recall memories, and track entities across sessions.
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by@sieyer
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 and description (persistent memory for agents) match the included code and CLI wrappers. The package only requires Python stdlib and SQLite; no unrelated binaries, credentials, or services are requested.
Instruction Scope
SKILL.md limits runtime behavior to creating/reading/updating the local SQLite DB and integrating memory calls into agent lifecycle (session start/end). It does instruct adding memory operations to AGENTS.md/HEARTBEAT.md (expected for a memory system). Nothing in SKILL.md tells the agent to read unrelated system files or contact external endpoints.
Install Mechanism
No install spec is provided (instruction-only in registry), and the bundled source files have no external downloads or package installs. requirements.txt declares no external deps. This is low-risk from an install-execution standpoint.
Credentials
The skill requests no environment variables or credentials. It does create and write a SQLite DB under the user's home (~/.agent-memory/memory.db) by default — expected for a memory store but important to note: data is stored unencrypted on disk and may include sensitive information if the agent stores secrets.
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or global agent configurations. It persists its own state to a local DB which is normal for this purpose.
Assessment
This skill appears coherent for a local agent memory: it stores facts, lessons, and entities in a local SQLite database (default: ~/.agent-memory/memory.db) and requires no external credentials or network access. Before installing: 1) Be aware that memories are stored unencrypted on disk — avoid recording sensitive secrets or consider using a custom db_path with OS-level encryption. 2) Some systems' SQLite builds may lack FTS5 support used for semantic search; test on your environment. 3) Review the included code (src/memory.py) if you want to confirm no additional telemetry or remote calls are added. 4) Because the agent can invoke skills autonomously by default, confirm you trust the skill to store and recall private conversation data.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.