◈ Skill RegistryExplore skills
← Back to search
context-management · Found in 15 repositories

agentdb-memory-patterns

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,

View source: proffesor-for-testing/agentic-qe ↗

Install from source

Install using Skill Manager:

sk install https://github.com/proffesor-for-testing/agentic-qe/tree/main/.claude/skills/agentdb-memory-patterns/SKILL.md

Source-path status is inferred from metadata; it does not verify a live download. Scan and quality scores describe registry checks and are not a guarantee of safety.

Attribution and permissions

Check the original repository for permission and license terms before reuse. Registry metadata does not grant a license.

This guide links to the author’s instructions and includes metadata only.

Request removal or correct attribution

Copies with matching content

Exact Markdown body copies across 15 repositories. This count does not identify the original author.

More in context-management

strategic-compactSuggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.session-logsYour own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).context-engineeringCheck context usage limits, monitor time remaining, optimize token consumption, debug context failures. Use when asking about context percentage, rate limits, u