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This project tracks workflow state, tasks, design decisions, and blockers using state-memory-mcp with project slug "vision-memory-mcp".
Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.
This repository also configures its own agents. See what vision-memory-mcp tells them →
Cursor rule Cursor
This project tracks workflow state, tasks, design decisions, and blockers using state-memory-mcp with project slug "vision-memory-mcp".
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This project utilizes vision-memory-mcp to cache visual states, record layout transitions, provide element grounding, and avoid repetitive LLM vision calls.
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This project uses agent-reasoning-mcp with project slug "vision-memory-mcp" to manage goals, decompose complex tasks, evaluate situational trade-offs, and track decision rationale.
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This project uses behavior-mcp with project slug "vision-memory-mcp" to execute deterministic behavior trees at 60Hz in browser runtimes with reactive triggers and safety guardrails.
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This project uses world-model-mcp with project slug "vision-memory-mcp" to maintain a persistent 3D/2D spatial internal world model, entity tracking, object permanence, and movement simulation.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: