Persistent local memory layer for AI. ArcRift uses a extension and a native MCP server to sync context and decisions...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
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 100/100. 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 ArcRift belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/Eshaan-Nair/ArcRift && cd arcrift && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf arcriftNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ arcrift/ ← clones here
Persistent local memory layer for AI. ArcRift uses a extension and a native MCP server to sync context and decisions from your browser chats (Claude, ChatGPT, DeepSeek) straight to your local IDE agents (Cursor, Claude Code, Windsurf) powered by a local SQLite knowledge graph.. An open-source mcp server for the AI coding ecosystem.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 7, 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.