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项目能做什么

基准测试表现顶尖的开源 AI 记忆系统,完全免费。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
<div align="center">

<img src="assets/mempalace_logo.png" alt="MemPalace" width="240">

# MemPalace

Local-first AI memory. Verbatim storage, pluggable backend, 96.6% R@5 raw on LongMemEval — zero API calls.

[![][version-shield]][release-link]
[![][python-shield]][python-link]
[![][license-shield]][license-link]
[![][discord-shield]][discord-link]

</div>

> [!CAUTION]
> **Beware of impostor sites.** MemPalace has no other official websites. The **only** official sources are this **[GitHub repository](https://github.com/MemPalace/mempalace)**, the **[PyPI package](https://pypi.org/project/mempalace/)**, and the docs at **[mempalaceofficial.com](https://mempalaceofficial.com)**. Any other domain (including `.tech`, `.net`, or other `.com` variants) is an impostor and may distribute malware. Details and timeline: [docs/HISTORY.md](docs/HISTORY.md).

> [!IMPORTANT]
> **Claude Code sessions expire in 30 days without auto-save hooks wired.** [Read this →](https://github.com/MemPalace/mempalace/discussions/1388)
>
> Need the shortest recovery/setup path? Use the [Claude Code retention setup checklist](https://mempalaceofficial.com/guide/claude-code-retention.html).

---

## What it is

MemPalace stores your conversation history as verbatim text and retrieves
it with semantic search. It does not summarize, extract, or paraphrase.
The index is structured — people and projects become *wings*, topics
become *rooms*, and original content lives in *drawers* — so searches
can be scoped rather than run against a flat corpus.

The retrieval layer is pluggable. The current default is ChromaDB; the
interface is defined in [`mempalace/backends/base.py`](mempalace/backends/base.py)
and alternative backends can be dropped in without touching the rest of
the system.

Nothing leaves your machine unless you opt in.

Architecture, concepts, and mining flows:
[mempalaceofficial.com/concepts/the-palace](https://mempalaceofficial.com/concepts/the-palace.html).

---

## Install

### Agent-guided setup

Install the MemPalace skills first, then ask your coding agent to set up
MemPalace. The setup skill detects your system, installs the Python package,
configures MCP, and asks whether you want a private local palace, a shared-brain
hub, or a client connected to an existing hub:

```bash
npx skills add MemPalace/mempalace
```

The repository exposes three skills: `mempalace` for guided installation and
operations, `mempalace-recall` for search-before-answer recall, and
`mempalace-task` for logstream delegation. Installing a skill does not by
itself install the MemPalace CLI or MCP server; the setup skill guides the
agent through those system changes and verifies the live connection.

During guided setup the agent can offer weekly stable-release checks. They are
disabled by default, contact only PyPI when enabled, and never install updates
automatically. Cached availability appears in scoped `mempalace_status` fields
for the serving runtime and, when a local proxy is present, 
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 45.0 分。该项目在“个人可实施性”维度得 60 分,“付费可能性”维度得 20.0 分,差异化空间 40.0 分(评分依据见评分卡)。

面向细分需求的二次开发产品

产品构想基于 mempalace 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断

封装为在线小工具或 API 服务

产品构想把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。
目标用户搜索引擎带来的长尾用户
难度/周期低 · 1~3 周
收费模式免费引流 + 增值功能 / API 按量计费
竞争风险同质化竞争,需做好 SEO
依据 AI 推测:基于技术栈与部署特征的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

竞品与相似项目 GitHub Search 真实检索

项目中文简介Stars语言
a2328275243/mempalace-evolve 中文介绍暂未生成
Self-evolving memory palace for AI agents — persistent memor
300 Python
NeuZhou/awesome-ai-anatomy 中文介绍暂未生成
Source code teardowns of 15 AI coding agents. What is actual
261 D2
AyanbekDos/memoriki 中文介绍暂未生成
Memoriki - LLM Wiki + MemPalace. Personal knowledge base wit
124 -
ZhangHanDong/mempalace-book 中文介绍暂未生成
mempalace book
75 JavaScript
bunkerlab-net/mempalace 中文介绍暂未生成
A Rust reimplementation of MemPalace/mempalace
66 Rust
Mascaraneous/Memory-palace-for-ai-by-mila-jovovic 中文介绍暂未生成
Memory palace for AI by milla jovovich (mempalace)
61 Python
以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建于 ,最近推送 ,发布过 19 个 Release
社区活跃Star 60,526 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

快速开始(以仓库 README 为准)
git clone https://github.com/MemPalace/mempalace.git
cd mempalace
# 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
阅读原仓库文档
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。