LuizEduPP/rememb

v0.3.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 1mo AI Agents & Assistants

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

agent-memory ai-agents ai-memories ai-memory cherry-studio claude

+14 more

clawdbot context-persistence copilot cursor fastapi llm llm-memory mcp mcp-server memory model-context-protocol moltbot persistent-memory windsurf

Summary

AI summary

MCP Server Support adds native IDE integration with local semantic search and six memory sections.

Full changelog

What's New

MCP Server Support — Native integration with Windsurf, Cursor, and Claude Desktop. No CLI commands needed, your IDE manages memory automatically.

Installation

pip install rememb[mcp]

Quick Setup

Add to your IDE's MCP config:

{
  "mcpServers": {
    "rememb": {
      "command": "rememb",
      "args": ["mcp"]
    }
  }
}

| IDE | Config file |
|-----|-------------|
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| Cursor | .cursor/mcp.json |
| Claude Desktop | ~/Library/Application Support/Claude/claude_desktop_config.json |

How it works

Agent starts → automatically calls rememb_read → loads your context
You chat normally
Agent learns something → automatically calls rememb_write → saves to .rememb/

Zero servers. Zero API keys. Your data stays in your project.

Features

MCP server for native IDE integration
Local semantic search (no cloud calls)
Import from .md, .txt, .pdf
6 memory sections: project, actions, systems, requests, user, context

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About LuizEduPP/rememb

Persistent memory for AI agents with sectioned entries (project/user/context/etc), semantic search, CLI, and per-project scope. Local JSON, zero config, no server required.

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