Self-Hosted Memory Layer for Claude Runs Free on Cloudflare
A Reddit user built second-brain-cloudflare, an open-source MCP server that adds persistent memory to Claude. It runs entirely on Cloudflare's free tier using Workers, D1 (SQLite), Vectorize, and Workers AI.
Key Features
- Four MCP tools:
remember,recall,list_recent,forget. - Semantic search via
recall: notes are vector-embedded usingbge-small-en-v1.5model via Workers AI and stored in Cloudflare Vectorize. Searches match by meaning, not keywords. - Works with Claude Desktop, Claude Code, and
claude.ai(via custom connectors).
How It Works
You add instructions to Claude's system prompt. The server is deployed via one-click deploy button on the repo. Context: remember stores a note, recall searches semantic embeddings, list_recent shows recent notes, forget deletes a note. The stack: TypeScript, Cloudflare Workers + D1 + Vectorize + Workers AI.
Tradeoffs and Implementation Details
The author notes that semantic search has tradeoffs — embedding quality, latency, and cost are discussed in the Reddit thread. The free tier handles personal use without issue.
📖 Read the full source: r/ClaudeAI
👀 See Also
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A new open-source tool provides four suppressors to catch structural failures in AI agent pipelines, including grounding enforcement, prompt injection detection, JSON validation, and tool response verification. Available as both a REST API and MCP server with a free tier of 500 requests/month.
KANBAII: A Visual Kanban Board Built with Claude Code for AI-Assisted Development
A developer built KANBAII, a local kanban board tool entirely with Claude Code over two months. It provides visual task management, AI planning, and parallel execution modes for Claude Code workflows.
Using a Local LLM as a Claude Code Subagent to Reduce Context Usage
A developer shares a method to use Claude Code to delegate tasks to a local LLM via LM Studio's API, keeping file content out of Claude's context. The approach uses a ~120-line Python script with tool-calling to read files locally and return summaries.