Floop FAQs

Question 1

What is Floop and how does it help AI agents?

Accepted Answer

Floop is a developer tool that gives AI coding agents persistent memory. It captures your corrections, extracts reusable behaviors, and activates them contextually, enabling agents to learn from mistakes and maintain consistency across sessions.

Question 2

Can Floop integrate with my existing AI development tools?

Accepted Answer

Yes, Floop integrates seamlessly as an MCP (Model Context Protocol) server. This allows AI tools like Claude Code, Cursor, and Windsurf to automatically load behaviors. It also offers a robust CLI for manual interaction and script integration.

Question 3

How does Floop ensure context injection is efficient and budget-aware?

Accepted Answer

Floop features token-optimized assembly. It intelligently selects and packages relevant behaviors to ensure injected context stays within the AI model's token limits, helping to manage costs while maximizing relevance.

Question 4

How does Floop's 'spreading activation' memory work?

Accepted Answer

Inspired by cognitive science, spreading activation is a graph-based memory system. When a behavior is triggered, it propagates energy to related nodes, pulling in associative context – not just direct matches – to enrich the AI's understanding and provide a 'blast radius' of relevant information.

Question 5

What kind of behaviors can Floop learn?

Accepted Answer

Floop learns from 'wrong' and 'right' corrections you provide to your agent. These can range from coding patterns, preferred libraries, error handling strategies, to project-specific conventions, turning them into durable, context-aware rules for your agents.

Floop

Floop

소개

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소개

주요 기능

사용 사례