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Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
AgentDB Memory Patterns is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # AgentDB Memory Patterns ## What This Skill Does Provides memory management patterns for AI agents using AgentDB's persistent storage and ReasoningBank integra. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding AgentDB Memory Patterns to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install mrkingsleyobi/jobnautReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# AgentDB Memory Patterns ## What This Skill Does Provides memory management patterns for AI agents using AgentDB's persistent storage and ReasoningBank integration. Enables agents