Aivectormemory

Name: Aivectormemory
Author: Edlineas

aivectormemory · by Edlineas

aivectormemory 是一款基于 Model Context Protocol (MCP) 开发的OpenClaw、OpenCode、ClaudeCodeAI记忆管理工具。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.

89 7 tools GitHub PyPI

No known CVEs

Apache-2.0 license

Maintained

Last commit 74d ago

Works with most clients

Transport: stdio, sse, http

7 tools · ~290 tok

Grade A · 0.1% of 200K ctx

Edit this pageView history

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "aivectormemory": {
      "args": [
        "--project-dir",
        "/path/to/your/project"
      ],
      "command": "run"
    }
  }
}

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What Aivectormemory does

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'aivectormemory' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

83/100across 5 weighted dimensions

How we score →

0255075100

−17

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked aivectormemory against OSV.dev.

Inventory

Tools (7)

Click any tool to inspect its schema.

~290 tokens total

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Aivectormemory safe to use?: Aivectormemory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under Apache-2.0.
How do I install Aivectormemory?: Aivectormemory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Aivectormemory do?: Aivectormemory provides 7 tools: remember, recall, forget, task, auto_save and 2 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Aivectormemory?: Aivectormemory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Aivectormemory actively maintained?: Aivectormemory is recently maintained — last commit was 74 days ago. It has 89 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

AIVectorMemory

Give your AI coding assistant a memory — Cross-session persistent memory MCP Server

Still using CLAUDE.md / MEMORY.md as memory? This Markdown-file memory approach has fatal flaws: the file keeps growing, injecting everything into every session and burning massive tokens; content only supports keyword matching — search "database timeout" and you won't find "MySQL connection pool pitfall"; sharing one file across projects causes cross-contamination; there's no task tracking, so dev progress lives entirely in your head; not to mention the 200-line truncation, manual maintenance, and inability to deduplicate or merge.

AIVectorMemory is a fundamentally different approach. Local vector database storage with semantic search for precise recall (matches even when wording differs), on-demand retrieval that loads only relevant memories (token usage drops 50%+), automatic multi-project isolation with zero interference, and built-in issue tracking + task management that lets AI fully automate your dev workflow. All data is permanently stored on your machine — zero cloud dependency, never lost when switching sessions or IDEs.

✨ Core Features

Feature	Description
🧠 Cross-Session Memory	Your AI finally remembers your project — pitfalls, decisions, conventions all persist across sessions
🔍 Hybrid Smart Search	FTS5 full-text + vector semantic dual-path search, RRF fusion ranking + composite scoring (recency × frequency × importance), far more precise than pure vector search
🐛 Issue Tracking	Built-in Issue Tracker — discover → investigate → fix → archive, full lifecycle. AI manages bugs automatically
📋 Task Management	Spec → task breakdown → nested subtasks → status sync → linked archival. AI drives the complete dev workflow
🚦 Session State	Blocking management + breakpoint resume + progress tracking, seamless handoff across sessions and context compaction
🪝 Hooks + Steering	Auto-inject workflow rules + behavior guard hooks, consistent AI behavior guaranteed — no need to repeat instructions
🧬 Memory Evolution	Contradiction detection auto-supersedes stale knowledge + short-term → long-term auto-promotion + 90-day auto-archive, self-evolving memory
📊 Desktop App + Web Dashboard	Native desktop app (macOS/Windows/Linux) + Web dashboard, 3D vector network reveals knowledge connections at a glance
💰 Save 50%+ Tokens	Stop copy-pasting project context every conversation. Semantic retrieval on demand, no more bulk injection
🏠 Fully Local	Zero cloud dependency. ONNX local inference, no API Key, data never leaves your machine
🔌 11 IDEs Covered	Cursor / Kiro / Claude Code / Windsurf / VSCode / Copilot / OpenCode / Trae / Codex / Antigravity / OpenClaw — one-click install & uninstall
📁 Multi-Project Isolation	One DB for all projects, auto-is

Feature

Description

🧠 Cross-Session Memory

Your AI finally remembers your project — pitfalls, decisions, conventions all persist across sessions

🔍 Hybrid Smart Search

FTS5 full-text + vector semantic dual-path search, RRF fusion ranking + composite scoring (recency × frequency × importance), far more precise than pure vector search

🐛 Issue Tracking

Built-in Issue Tracker — discover → investigate → fix → archive, full lifecycle. AI manages bugs automatically

📋 Task Management

Spec → task breakdown → nested subtasks → status sync → linked archival. AI drives the complete dev workflow

🚦 Session State

Blocking management + breakpoint resume + progress tracking, seamless handoff across sessions and context compaction

🪝 Hooks + Steering

Auto-inject workflow rules + behavior guard hooks, consistent AI behavior guaranteed — no need to repeat instructions

🧬 Memory Evolution

Contradiction detection auto-supersedes stale knowledge + short-term → long-term auto-promotion + 90-day auto-archive, self-evolving memory

📊 Desktop App + Web Dashboard

Native desktop app (macOS/Windows/Linux) + Web dashboard, 3D vector network reveals knowledge connections at a glance

💰 Save 50%+ Tokens

Stop copy-pasting project context every conversation. Semantic retrieval on demand, no more bulk injection

🏠 Fully Local

Zero cloud dependency. ONNX local inference, no API Key, data never leaves your machine

🔌 11 IDEs Covered

Cursor / Kiro / Claude Code / Windsurf / VSCode / Copilot / OpenCode / Trae / Codex / Antigravity / OpenClaw — one-click install & uninstall

📁 Multi-Project Isolation

One DB for all projects, auto-is

Frequently Asked Questions

Is Aivectormemory safe to use?

Aivectormemory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under Apache-2.0.

How do I install Aivectormemory?

Aivectormemory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Aivectormemory do?

Aivectormemory provides 7 tools: remember, recall, forget, task, auto_save and 2 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Aivectormemory?

Aivectormemory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Aivectormemory actively maintained?

Aivectormemory is recently maintained — last commit was 74 days ago. It has 89 GitHub stars.

AIVectorMemory

Give your AI coding assistant a memory — Cross-session persistent memory MCP Server

✨ Core Features

Feature	Description
🧠 Cross-Session Memory	Your AI finally remembers your project — pitfalls, decisions, conventions all persist across sessions
🔍 Hybrid Smart Search	FTS5 full-text + vector semantic dual-path search, RRF fusion ranking + composite scoring (recency × frequency × importance), far more precise than pure vector search
🐛 Issue Tracking	Built-in Issue Tracker — discover → investigate → fix → archive, full lifecycle. AI manages bugs automatically
📋 Task Management	Spec → task breakdown → nested subtasks → status sync → linked archival. AI drives the complete dev workflow
🚦 Session State	Blocking management + breakpoint resume + progress tracking, seamless handoff across sessions and context compaction
🪝 Hooks + Steering	Auto-inject workflow rules + behavior guard hooks, consistent AI behavior guaranteed — no need to repeat instructions
🧬 Memory Evolution	Contradiction detection auto-supersedes stale knowledge + short-term → long-term auto-promotion + 90-day auto-archive, self-evolving memory
📊 Desktop App + Web Dashboard	Native desktop app (macOS/Windows/Linux) + Web dashboard, 3D vector network reveals knowledge connections at a glance
💰 Save 50%+ Tokens	Stop copy-pasting project context every conversation. Semantic retrieval on demand, no more bulk injection
🏠 Fully Local	Zero cloud dependency. ONNX local inference, no API Key, data never leaves your machine
🔌 11 IDEs Covered	Cursor / Kiro / Claude Code / Windsurf / VSCode / Copilot / OpenCode / Trae / Codex / Antigravity / OpenClaw — one-click install & uninstall
📁 Multi-Project Isolation	One DB for all projects, auto-is

Feature

Description

🧠 Cross-Session Memory

Your AI finally remembers your project — pitfalls, decisions, conventions all persist across sessions

🔍 Hybrid Smart Search

FTS5 full-text + vector semantic dual-path search, RRF fusion ranking + composite scoring (recency × frequency × importance), far more precise than pure vector search

🐛 Issue Tracking

Built-in Issue Tracker — discover → investigate → fix → archive, full lifecycle. AI manages bugs automatically

📋 Task Management

Spec → task breakdown → nested subtasks → status sync → linked archival. AI drives the complete dev workflow

🚦 Session State

Blocking management + breakpoint resume + progress tracking, seamless handoff across sessions and context compaction

🪝 Hooks + Steering

Auto-inject workflow rules + behavior guard hooks, consistent AI behavior guaranteed — no need to repeat instructions

🧬 Memory Evolution

Contradiction detection auto-supersedes stale knowledge + short-term → long-term auto-promotion + 90-day auto-archive, self-evolving memory

📊 Desktop App + Web Dashboard

Native desktop app (macOS/Windows/Linux) + Web dashboard, 3D vector network reveals knowledge connections at a glance

💰 Save 50%+ Tokens

Stop copy-pasting project context every conversation. Semantic retrieval on demand, no more bulk injection

🏠 Fully Local

Zero cloud dependency. ONNX local inference, no API Key, data never leaves your machine

🔌 11 IDEs Covered

Cursor / Kiro / Claude Code / Windsurf / VSCode / Copilot / OpenCode / Trae / Codex / Antigravity / OpenClaw — one-click install & uninstall

📁 Multi-Project Isolation

One DB for all projects, auto-is