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Zettelkasten - Card box note taking system with AI insights
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Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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| name | zettelkasten |
| description | Zettelkasten - Card box note taking system with AI insights |
| keywords | note-taking,knowledge-management,zettelkasten,ai,insights |
| metadata | {"openclaw":{"emoji":"📝","bins":["python"],"pip":[],"os":["darwin","linux","windows"],"requires":[]}} |
A complete implementation of the Zettelkasten note-taking method, featuring:
Record Idea: [Your idea content here]
Example:
Record Idea: I found that meditating 10 minutes daily improves focus and sleep quality
---
ID: [timestamp]
Tags: #tag1 #tag2 #tag3
Type: Flash
Date: [date]
---
## [Title]
[Content]
> AI Insight: [Generated insight]