Persistent local memory layer for AI. ArcRift uses a Chrome 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.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"arcrift": {
"args": [
"C:/path/to/ARCRIFT/backend/dist/mcp/server.js"
],
"command": "node"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
A local-first memory layer that captures your conversations, builds a searchable knowledge graph, and automatically injects the right context into every new prompt — no cloud, no subscriptions, no re-explaining yourself.
This server supports HTTP transport. Be the first to test it — help the community know if it works.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked arcrift-setup against OSV.dev.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in ai-ml
Dynamic problem-solving through sequential thought chains
Persistent memory using a knowledge graph
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
An open-source AI agent that brings the power of Gemini directly into your terminal.
MCP Security Weekly
Get CVE alerts and security updates for ArcRift and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
A local-first memory layer that captures your conversations, builds a searchable knowledge graph, and automatically injects the right context into every new prompt — no cloud, no subscriptions, no re-explaining yourself.
Browser Extension: Claude · ChatGPT · Gemini · DeepSeek · Grok · Copilot · Mistral
MCP (AI Coding Tools): Claude Code · Cursor · Windsurf · Claude Desktop
https://github.com/user-attachments/assets/f77a865a-cee9-4f7c-b0fa-4fb4d1cee7be
The Demo only showcases the main function of ArcRift, there are a lot of features for you to Explore!
npx arcrift-setup
| Package Name | Downloads |
|---|---|
arcrift-setup (Current) | |
glia-ai-setup (Legacy) | |
synq-setup (Legacy) |
You are deep in a complex project. You have had 30 conversations with Claude about your auth flow, database schema, and deployment strategy. You open a new chat — and it is all gone. You spend 10 minutes re-explaining context you have already covered, and the AI gives you advice that contradicts decisions you made two weeks ago.
ArcRift stops the cycle. It captures your AI conversations, extracts structured facts into a knowledge graph, embeds them as searchable vectors, and automatically prepends the most relevant context to every new prompt — before you even finish typing.