floop
Active·★ 25·Apache-2.0·Updated 2026-05-25
★ Trending★ Memory & Context★ Dev Tooling
Spreading activation memory for AI coding agents - corrections in, context-aware behaviors out.
floop provides persistent memory for AI coding agents, allowing them to learn from corrections and maintain consistency across sessions. It extracts reusable behaviors from your feedback and activates them contextually using spreading activation, much like how the brain retrieves memories.
#AI Agents#Persistent Memory#Feedback Loop#Cognitive Computing#Graph-based Learning#Context-aware AI#CLI Tool#Model Context Protocol
01
Features
01Learns from user corrections to build durable behaviors.
02Activates behaviors based on file type, task, and semantic relevance.
03Uses graph-based memory retrieval inspired by cognitive science (spreading activation).
04Optimizes context injection to stay within token limits.
05Offers a comprehensive CLI with JSON output for agent consumption.
02
Compatibility
Go
Runtime
Verified via docs
Model Context Protocol
Protocol
Verified via docs
Claude Code
Integration
Verified via docs
Cursor
Integration
Verified via docs
Windsurf
Integration
Verified via docs
Copilot
Integration
Verified via docs
03
Quick start
1
$ go install github.com/nvandessel/feedback-loop/cmd/floop@latest
04
Use cases
↳Teach an AI agent new behaviors or corrections based on its mistakes.
↳Manage and inspect the stored behaviors and their relationships.
↳Integrate with AI coding tools (e.g., Claude Code, Cursor) to provide dynamic context.
↳Generate context-aware prompts for AI agents based on the current project and task.
05
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Comments
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- Peyton ChenMay 10, 2026
Spreading activation memory where corrections propagate to related context is smart design.
- Dylan LeeApr 30, 2026
Good for long-running coding sessions where the agent needs to maintain accurate context.
- Casey KimApr 20, 2026
Corrections don't just fix one instance — they update related memories too.
- FFinley ZhangMar 19, 2026
Context-aware suggestions that improve as you correct the agent is the right feedback loop.