Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code,...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
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.
GitHub health 87/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if EverOS 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 everos -- npx everosRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove everosNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ everos ← registers here
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Codex, OpenClaw, Hermes, and more. An open-source mcp server for the AI coding ecosystem.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 14, 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.