Persistent memory system for AI agents to remember facts, learn from experience, track entities, and recall context across sessions.

What to consider before installing/using this skill: - Origin and provenance: The package metadata and README/installation hints don't fully match the registry entry (different slug/owner references and no homepage). Only install from a source you trust. Ask the maintainer for a canonical repo or signed release if provenance matters. - Code sanity review: There are some coherence/quality issues in the bundle that could break usage (e.g., __init__.py exports get_memory but that function is not present in the visible memory.py, and some SQL/FTS uses look incorrect — e.g., ORDER BY fts.rank which may not exist). Run the included tests locally before deploying (tests are bundled). Expect small bugs rather than malicious behavior. - Data sensitivity: This skill persists arbitrary facts to a local SQLite DB (default ~/.agent-memory/memory.db). Do not allow the agent to store secrets (passwords, API keys, private tokens) in this DB unless you add encryption and strong filesystem permissions. Consider custom db_path pointing to an encrypted volume or in-memory DB for sensitive deployments. - Permissions and filesystem: The DB will be created with the process user permissions. Ensure the DB file has restrictive permissions (chmod 600) and is stored somewhere appropriate. - Network/exfiltration: The code shown contains no network calls or external endpoints. That reduces remote-exfil risk, but always assume an agent that can execute code and access the filesystem might be able to leak data via other skills or tooling. Limit what the agent can access or run if you have strict data controls. - Functional checks: Before using in production, run the bundled tests, and exercise common flows (remember/retrieve/export). Verify export_json and other functions behave as expected. Also inspect memory.py fully to confirm there are no hidden network calls or dynamic import/execution paths not visible in the truncated listing. - Fixes to request from author or apply locally: (1) fix the get_memory export or remove it from __init__, (2) reconcile README/install command and registry slug, (3) verify FTS usage (MATCH and ORDER BY) and ensure queries are safe and robust, (4) consider adding optional DB encryption or advice in SKILL.md about sensitive data handling. If you cannot validate the code or provenance, treat this skill as untrusted for storing or handling any secrets or PII.

Type: OpenClaw Skill Name: cxz9909-agent-memory Version: 1.0.0 The AgentMemory skill is a well-documented and straightforward implementation of a local persistent memory system for AI agents using SQLite. The code (primarily in src/memory.py) handles facts, lessons, and entities locally without any external network dependencies, obfuscation, or high-risk execution patterns. The instructions in SKILL.md are strictly aligned with the stated purpose of maintaining session context and do not contain any prompt-injection attacks or malicious directives.