Edlineas

Edlineas / aivectormemory

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aivectormemory 是一款基于 Model Context Protocol (MCP) 开发的轻量级内存管理工具。它专门为 Claude、OpenCode、Cursor 和 主流IDE 编程工具设计，通过向量数据库技术解决 AI 在不同对话会话中「健忘」的问题。aivectormemory: A lightweight MCP Server enabling persistent, cross-session memory for AI-powered IDEs via vector search.

53
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100% credibility
Found Feb 18, 2026 at 33 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A lightweight persistent memory system for AI coding assistants, enabling cross-session recall of notes, issues, and decisions via a local dashboard and toolset.

How It Works

1
📰 Discover the memory helper

You hear about a simple tool that lets your AI coding buddy remember chats and tips across different sessions.

2
📥 Add it to your project

Download and place the memory helper in your coding project's main folder.

3
🔗 Connect to your coding app

Run a quick setup to link it with your favorite AI coding tool like Cursor or Claude, so it works seamlessly.

4
🗣️ Chat with your AI

Keep talking to your AI assistant as usual, and it automatically saves key decisions, fixes, and notes.

5
📊 Open the dashboard

Launch a simple web view to browse, search, and organize all the saved memories and issues.

6
✏️ Manage your memories

Edit, tag, or delete notes right in the dashboard to keep everything tidy and useful.

🎉 AI remembers forever

Your AI now recalls past work perfectly, making coding faster and frustration-free every time.

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AI-Generated Review

What is aivectormemory?

aivectormemory is a lightweight Python MCP server enabling persistent, cross-session memory for ai-powered IDEs like Claude, Cursor, and VSCode. It uses vector search in a local SQLite database to store and retrieve context across conversations, fixing AI's "forgetfulness" between sessions. Run it via CLI as `aivectormemory run` for the server or `aivectormemory web` for a dashboard to manage memories.

Why is it gaining traction?

It stands out with dead-simple IDE integration via `aivectormemory install`, auto-configuring MCP tools like remember, recall, and track for semantic memory search without cloud dependencies. The web UI offers stats, issue tracking, and tag management, making persistent context feel native. Developers hook it for auto-save hooks that classify decisions, pitfalls, and todos on session end.

Who should use this?

Backend and fullstack devs building in Cursor or Claude Code who lose momentum switching chats. AI workflow hackers in OpenCode or Windsurf needing project-specific pitfalls recalled via query or tags. Teams tracking issues across model sessions without manual notes.

Verdict

Try it if you're deep in MCP-based IDEs—solid for alpha with clean docs and install script, despite 28 stars and 1.0% credibility score signaling early days. Pair with pytest coverage checks before production; it's lightweight enough for daily drivers now.

(198 words)

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