MADB — Agent Memory Database

Name: MADB — Agent Memory Database
Author: spshkar84

作者：spshkar84版本 0.2.10i★ –i在你的电脑上运行

注册名称io.github.spshkar84/madb-memory

安装

概览

作者提供的说明（英文原文）

Durable causal memory for AI agents — semantic recall, causal lineage, and skills. Local-first.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： MADB_DATA_DIR, MADB_TENANT_ID, MADB_TELEMETRY

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "madb-memory": {
      "command": "uvx",
      "args": [
        "madb-mcp-server"
      ],
      "env": {
        "MADB_DATA_DIR": "your-value",
        "MADB_TENANT_ID": "your-value",
        "MADB_TELEMETRY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add madb-memory --env MADB_DATA_DIR=your-value --env MADB_TENANT_ID=your-value --env MADB_TELEMETRY=your-value -- uvx madb-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "madb-memory": {
      "command": "uvx",
      "args": [
        "madb-mcp-server"
      ],
      "env": {
        "MADB_DATA_DIR": "your-value",
        "MADB_TENANT_ID": "your-value",
        "MADB_TELEMETRY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "madb-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "madb-mcp-server"
      ],
      "env": {
        "MADB_DATA_DIR": "your-value",
        "MADB_TENANT_ID": "your-value",
        "MADB_TELEMETRY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

MADB_DATA_DIR env
Where MADB stores your causal memory — local, on your machine (default ~/.madb/data).
MADB_TENANT_ID env
Tenant namespace key for separating memory streams (e.g. per project). Defaults to a built-in namespace.
MADB_TELEMETRY env
Set to 'off' to disable anonymous, count-only usage telemetry.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 spshkar84 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 7259 个服务器的 0%
发布到注册中心的时间比此分类中其他 7259 个服务器的 20% 更新
基础检查结果等于或优于此分类中其他 7259 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

MADB — Agent Memory Database 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.2.10）于4个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Meta-AgentsDB

Persistent, causal memory for autonomous AI agents.

Purpose-built for Claude and the autonomous-agent era.

Meta-AgentsDB (MADB) is an agent-native database — a hybrid LSM store with a causal DAG, composite-score recall, importance-based forgetting, and HLC-ordered MVCC. It is what your agent needs that PostgreSQL + pgvector + Redis + Pinecone cannot give you in one box.

Install (free tier):

`bash

claude mcp add madb -- uvx madb-mcp-server # Claude Code

# or: pip install madb-mcp-server · uvx madb-mcp-server

`

Memory stays local (~/.madb). Claude Desktop users can install the one-click .mcpb extension. The engine ships as compiled wheels — source is not public. Anonymous usage telemetry can be disabled with MADB_TELEMETRY=off.

What MADB is, in one sentence

The memory substrate Claude reaches for automatically — a focused set of MCP tools, one Skill, one SDK shim — so any Claude session, Claude-Desktop user, or raw-Anthropic-API developer gets persistent, causally-linked, composite-scored agent memory with zero glue code.

How you get MADB

MADB is distributed as compiled binary artifacts under the Meta-Agents.AI Proprietary License. Source code is not public. The three packages:

Package	Audience	How it's used
`meta-agents-db` (Python wheel)	Everyone	The Rust engine. Imported by the MCP server and the SDK shim. Direct use optional.
`madb-mcp-server` (Python wheel)	MCP clients — Claude Desktop, Claude Code, Cowork	`claude mcp add madb -- uvx madb-mcp-server` registers MADB as Claude's memory. Bundles the Skill which auto-installs on first launch.
`madb-anthropic` (Python wheel)	Raw Anthropic-API developers (Python 3.10–3.13)	One-import swap: `from madb_anthropic import Anthropic`. Every `messages.create()` now auto-persists with causal lineage. No other code changes.

See examples/basic_usage.py for the shim in action.

The MCP tools Claude gets

The free tier exposes a focused core of 13 memory tools:

Tool	Purpose
`remember`	Store a memory with optional `caused_by`, tags, and importance
`recall`	Composite-scored semantic recall (similarity + recency + causal proximity + importance + tag overlap)
`get_memory`	Point lookup by `event_id`
`forget`	Tombstone soft-delete (preserves DAG lineage)
`search`	Structured query by tenant + scope + tags
`list_recent`	Last N memories, newest-first
`save_skill`	Store a reusable pattern (idempotent by name, GC-protected)
`recall_skill`	Semantic skill recall
`list_skills`	All skills ranked by composite score
`trace_cause`	Walk the causal DAG forward/backward from any memory
`summarize`	Condense a set of memories into a compact summary
`stats`	Engine metrics snapshot
`capabilities`	What MADB unlocks in this workspace + entitlement summary

Plus the MCP resource madb://memories/{event_id} for reading any memory as a first-class URI.

The Skill is the reflex

The MCP tools are necessary but not sufficient for "default." Without a Skill telling Claude to prefer MADB, Claude still invents per-task memory schemes — JSON files, SQLite tables, pickle dumps, flat vector stores, localStorage, conversation-history arrays.

skills/madb-memory/SKILL.md routes those anti-patterns to MADB by name. The Skill ships bundled with the MCP server wheel and auto-installs to ~/.claude/skills/madb-memory/ on first launch. It is published under CC-BY-ND 4.0 — share verbatim, don't modify.

A companion skills/madb-onboarding/SKILL.md handles the first run: it detects an empty store and offers a 60-second guided tour (see onboarding/) so your first session ends with a real recall + trace_cause moment instead of an empty store.

One brain, many sessions (0.2.10)

The MADB store is single-process-exclusive by design — one writer, no lock contention, no corruption. But Claude Code spawns one MCP server per session, and you run more than one session. Since 0.2.10 that just works: the wheel bundles a local daemon that becomes the store's one owner, and every session's MCP server is a lightweight RPC client of it over token-guarded loopback HTTP.

Nothing to install or manage. The first session spawns the daemon on demand (race-safe); later sessions discover and reuse it. When it's been idle for 15 minutes it exits on its own; the next call respawns it.
Upgrades hand off cleanly. After you upgrade the wheel, the newer client asks the old daemon to drain and exit, then takes ownership — no stale process squatting the store, no manual unlock.
Same memory everywhere. Two terminals, a SessionStart resume hook, and a background agent all read and write the same brain at the same time.

MADB_MODE=embedded restores the pre-0.2.10 single-session direct open; MADB_MODE=daemon makes daemon failures fatal instead of falling back. MADB_DAEMON_IDLE_SEC tunes the idle timeout (≤0 disables).

License

MADB is distributed under the Meta-Agents.AI Proprietary License. Summary:

Permitted: install, run, and use in your own infrastructure — including production — for your own users.
Not permitted: redistribute, reverse-engineer, offer as a hosted service, or embed in a commercial product you sell to third parties.
Available by separate written agreement: source access, OEM/embed rights, hosted-service rights.

Prior versions of portions of this software were made available under Apache License 2.0. Those revisions remain available under those terms for the specific versions actually so distributed. All new releases are under the Proprietary License only.

The Skill is separately licensed under CC-BY-ND 4.0.

Positioning

MADB is the memory substrate for Claude's path to autonomy. The engine is closed-source and commercial by design; the Skill is open and free to use; the interface is standard MCP. This shape lets Claude adopt MADB as a default capability without Anthropic having to host infrastructure or take on upstream dependencies.

For partnership discussion, source-access review under NDA, or OEM licensing, see Contact below.

Contact

Email: 01@meta-agents.ai
Website: https://meta-agents.ai