agent-memory-kitProvides a structured AI agent memory system separating episodic, semantic, and procedural memories to preserve knowledge and processes over time.
Install via ClawdBot CLI:
clawdbot install ryancampbell/agent-memory-kitType: Practice / Framework
Dependencies: None (markdown only)
A structured memory system for AI agents. Prevents the "forgot how to do things" problem by separating memory into episodic (what happened), semantic (what I know), and procedural (how to do things) layers.
# Create memory folder structure
mkdir -p memory/procedures
# Copy templates
cp templates/ARCHITECTURE.md memory/
cp templates/feedback.md memory/
cp templates/procedure-template.md memory/procedures/README.md to understand the system| File | Purpose |
|------|---------|
| README.md | Full documentation |
| templates/ARCHITECTURE.md | Memory system overview (copy to memory/) |
| templates/feedback.md | Success/failure tracking template |
| templates/procedure-template.md | How-to document template |
| templates/daily-template.md | Daily log template |
| templates/compaction-survival.md | NEW: Pre-compaction flush guide |
| templates/context-snapshot-template.md | NEW: Quick context save template |
| helpers/check-compaction.sh | NEW: Token limit checker |
Always capture the HOW, not just the WHAT. Future-you needs the steps.
Generated Mar 1, 2026
An AI agent handles customer inquiries by logging interactions in episodic memory, storing product knowledge in semantic memory, and following documented procedures for common issues. This ensures consistent responses and avoids forgetting past solutions.
An AI agent manages content workflows by tracking daily tasks in episodic memory, storing style guides in semantic memory, and using procedural memory for steps like editing or publishing. This prevents errors and maintains quality over time.
An AI agent conducts research by logging findings in episodic memory, curating key insights in semantic memory, and following procedures for data validation. This helps avoid losing track of sources and improves accuracy in reports.
An AI agent oversees projects by recording progress in episodic memory, storing project guidelines in semantic memory, and using procedural memory for task delegation. This reduces oversight and ensures deadlines are met consistently.
Offer the Agent Memory Kit as a cloud-based service with tiered plans for memory storage and template access. Revenue comes from monthly fees based on usage levels and advanced features like analytics.
Provide tailored implementations of the memory system for businesses, including setup, training, and integration with existing AI workflows. Revenue is generated through project-based fees and ongoing support contracts.
Distribute basic memory templates for free while charging for premium templates, advanced helpers like compaction tools, and community support. Revenue comes from template sales and optional upgrades.
š¬ Integration Tip
Start by copying the provided templates into your project's memory folder and gradually integrate memory loading into the agent's wake routine to avoid overwhelming the system.
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