AgentDB Memory Patterns
Provides memory management for AI agents using AgentDB's vector storage. Offers session memory, long-term pattern storage, and integrates with ReasoningBank for context synthesis. Includes CLI tools for database management, learning plugins, and performance benchmarks showing significant speed improvements over traditional approaches.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-agentdb-memory-patterns
Repository
Skill path: skills_categorized/machine-learning/agentdb-memory-patterns
Provides memory management for AI agents using AgentDB's vector storage. Offers session memory, long-term pattern storage, and integrates with ReasoningBank for context synthesis. Includes CLI tools for database management, learning plugins, and performance benchmarks showing significant speed improvements over traditional approaches.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Backend, Integration.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install AgentDB Memory Patterns into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Microck/ordinary-claude-skills before adding AgentDB Memory Patterns to shared team environments
- Use AgentDB Memory Patterns for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.