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.
Last commit October 2, 2026, 39 days ago.
91 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
Starts at 6. Added: last commit 39 days ago +7, GitHub health not measured +10, no security policy +8, no contributing guide +4, no code of conduct +3.
AI Agent
Universal
Model
Multiple
Fastest way to find out if vision-memory-mcp belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add vision-memory-mcp -- npx vision-memory-mcpRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove vision-memory-mcpNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ vision-memory-mcp ← registers here
vision-memory-mcp is listed on Honeystax as a MCP Server for Universal, since October 2, 2026. Its code is at github.com/putervision/vision-memory-mcp, with 91 GitHub stars. Last commit October 2, 2026, 39 days ago.
Source: GitHub repository
Source check: October 2, 2026
Upstream commit: October 2, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.