RAMen is a fast in-memory data store like Redis, but built for AI: drop-in Redis protocol, native vector search, semantic caching, and a built-in MCP server for agents. Single Go binary, BSD-3.
Last commit October 22, 2026, 21 days ago.
37 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: no security policy +8.
AI Agent
Universal
Model
Multiple
Fastest way to find out if RAMen 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 ramen -- npx ramenRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove ramenNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ ramen ← registers here
RAMen is listed on Honeystax as a MCP Server for Universal, since July 5, 2026. Its code is at github.com/Rohit-Dnath/RAMen, with 37 GitHub stars and 28 open issues. Last commit October 22, 2026, 21 days ago. GitHub's community health check gives it 100 out of 100.
Source: GitHub repository
Source check: October 22, 2026
Upstream commit: October 22, 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.