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kiwi-mem MCP Server

LucieEveille/kiwi-mem

Score: 69.6 Rank #4141 Database
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🥝 Self-hosted memory gateway for AI companions — OpenAI-compatible proxy with vector search, memory heat, Dream consolidation and calendar-level summaries · AI 伴侣记忆网关:向量搜索、记忆热度、Dream 睡眠整合、日历层级摘要,任何客户端都能接

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Overview

LucieEveille/kiwi-mem is a Python tool. 🥝 Self-hosted memory gateway for AI companions — OpenAI-compatible proxy with vector search, memory heat, Dream consolidation and calendar-level summaries · AI 伴侣记忆网关:向量搜索、记忆热度、Dream 睡眠整合、日历层级摘要,任何客户端都能接 Topics: ai-companion, ai-companion-systems, ai-memory, ai-memory-system, chatbot, docker, fastapi, llm-gateway, long-term-memory, mcp, model-context-protocol, openai-compatible, pgvector, postgresql, python, self-hosted, sillytavern, vector-search.

Ranked #4141 out of 24846 indexed tools.

Ecosystem

Python NOASSERTION
ai-companionai-companion-systemsai-memoryai-memory-systemchatbotdockerfastapillm-gatewaylong-term-memorymcpmodel-context-protocolopenai-compatiblepgvectorpostgresqlpythonself-hostedsillytavernvector-search

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 334

334 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 43%

3/7 issues closed → many open issues

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 63
Description Detailed
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 33 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 4 open vs 3 closed issues — triaging stale issues improves health

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Matched Queries

topic:mcptopic:model-context-protocol

From the README

# 🥝 kiwi-mem

**大多数 AI 记忆系统是数据库。kiwi-mem 是一颗大脑。**

[English Version →](README_EN.md)

---

## 它做了什么

kiwi-mem 让你的 AI 拥有像人脑一样运转的长期记忆。

不是"把聊天记录存起来,用的时候搜一下"——是真的像人一样记东西:不常提起的事会慢慢淡忘,反复聊到的事越记越牢,睡一觉醒来会把零散的碎片整理成更深的理解,去年的事只记得个大概,昨天的事记得很清楚。

所有功能组合在一起,形成了一套完整的筛选机制:**AI 会记住你也会记住的事情,遗忘的都是两个人都不会在意的内容。** 同时不会撑爆上下文窗口,也不会烧穿你的 API 账单。

技术上,它是一个轻量级转发网关,插在你和大模型之间,同时兼容 OpenAI 格式和 Anthropic 原生格式的 LLM 服务商。Docker 一键部署,管理面板里点点就能配。

**技术栈**:Python / FastAPI · PostgreSQL + pgvector · Docker · AGPL-3.0-or-later 开源

---

## 为什么做 kiwi-mem

AI 的记忆应该属于你,而不是属于某个平台。

kiwi-mem 让任何人都能自托管、自审计、自迁移 AI 的长期记忆。没有供应商锁定,没有黑箱存储,不依赖于任何可能明天就消失的服务。

如果一个 AI 记得你,你应该能看到它记得什么、决定它留下什么,并且在你离开时带走它。

---

## 记忆怎样像人脑一样运转

kiwi-mem 的核心不是某个单一功能,而是多个机制协同运作,让 AI 的记忆行为逼近人类直觉:

### 🔥 会淡忘,也会加深

每条记忆都有"热度"。时间会让它自然衰减,但如果你们反复聊到同一件事,它会重新升温。高情绪浓度的记忆衰减更慢——就像人会更容易记住那些触动过自己的瞬间。而淡忘不是一刀切的删除:老记忆每晚被温柔地模糊,细节渐渐褪色、要点保留下来;如果某条已经模糊的记忆在对话里又被想起,它会自动续命 30 天。只有真正写进对话的才算"被想起",又冷又老的记忆才会按热度被清走。遗忘是渐进的,就像人一样。热度同时决定了记忆如何被注入对话:高热度全文注入,中热度只给摘要,冷记忆不打扰你们。

### 🌙 会"睡觉",醒来变
Read full README on GitHub →

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