Organize AI agent memory into episodic, semantic, and procedural layers.
npx skills add https://github.com/binfen1/my-skills --skill memory-manager-binfen1
Please help me install this Agent Skill. Skill: memory-manager Source: https://github.com/binfen1/my-skills/tree/main/openclaw/memory-manager Command: npx skills add https://github.com/binfen1/my-skills --skill memory-manager-binfen1
AI agents often lose context as tasks evolve. This Skill provides a three-tier memory architecture (episodic, semantic, procedural) with compression detection and automatic organization to maintain long-term context and improve retrieval.
Initialize memory structure and start health checks with the provided scripts.
High-intent search queries and answers about installing and using this skill.
To preserve AI context, organize agent memory into episodic, semantic, and procedural layers with compression detection and auto-snapshots. This three-tier architecture maintains long-term context and enables efficient retrieval during long-running missions.
Three-tier memory architecture organizes AI agent context into episodic for time-based events, semantic for extracted facts, and procedural for repeatable workflows. This structure maintains high-context performance and enables efficient knowledge retrieval.
Detect memory compression risk by monitoring agent memory health through automated checks. The system identifies when context limits approach capacity and generates automatic snapshots to preserve knowledge before degradation occurs.
Capture episodic memory by logging time-based events to reconstruct action sequences, then retrieve them through semantically-indexed search. This preserves the chronological context needed for reproducible agent workflows.
No external dependencies are required. The memory organization enforces a three-tier structure with compression detection and semantically-indexed search internally, maintaining high-context performance without additional knowledge-graph modules.
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