原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Devin Memory

作者:Icaro0310版本 0.3.0i★ –i在你的电脑上运行
注册名称io.github.Icaro0310/devin-memory

安装

概览

作者提供的说明(英文原文)

Anti-poisoning memory for agents: provenance, conflicts, quarantine gate.

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。

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

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

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": {
    "devin-memory": {
      "command": "uvx",
      "args": [
        "devin-memory-mcp"
      ],
      "env": {
        "DEVIN_MEMORY_DB": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add devin-memory --env DEVIN_MEMORY_DB=your-value -- uvx devin-memory-mcp

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": {
    "devin-memory": {
      "command": "uvx",
      "args": [
        "devin-memory-mcp"
      ],
      "env": {
        "DEVIN_MEMORY_DB": "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": {
    "devin-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "devin-memory-mcp"
      ],
      "env": {
        "DEVIN_MEMORY_DB": "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

  • DEVIN_MEMORY_DB env
    Path to memory.db (default: ./memory.db)

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Icaro0310 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 7243 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7243 个服务器的 53% 更新
  • 基础检查结果等于或优于此分类中其他 7243 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

Devin Memory 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(0.3.0)于33天前进入注册中心。

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今天更新
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。

Part of the [DEVIN ecosystem](https://github.com/Icaro0310/awesome-devin)

Track: Build · Nature: product

For: AI engineers, Developers, Data Scientists

Interface: CLI / Python library / MCP server / Service

Path: AI engineers · step 3/3 — after devin-orchestrator

Where this fits

devin-memory

Renamed (Oct 2026): this repository moved from Icaro0310/devin-memory

to Icaro0310/devin-brain — the PyPI package, CLI commands and MCP server

name stay devin-memory; stars, issues and history are preserved by the

GitHub redirect.

Unofficial community project. Not affiliated with, endorsed by, or

sponsored by Cognition AI. "Devin" is a trademark of Cognition AI.

[Linux](README.linux.md) · [Personal Windows](README.windows.md) · [Corporate Windows](README.corporate-windows.md)

Part of the awesome-devin ecosystem: the curated hub for the devin-* tools.

An anti-poisoning memory store for Devin: durable facts with provenance, versioning, and a quarantine gate — so agent memory can't be silently corrupted by a bad session or injected content.

The problem

Agent memory is a poisoning vector. Any tool that persists "facts" between sessions can be corrupted by a single bad session — an injected instruction or a pasted secret becomes a trusted belief in every future session, with no review step and no way to answer *"where did this come from?"*.

Prior art

  • The Devin memory MCP (retain/recall/reflect over .devin/memory/memories.jsonl) — append-only, no screening, no session provenance. devin-memory exports to that exact line shape.
  • MemGPT / LangChain memory — persistence layers that optimize for recall, not for auditing or distrusting what was stored.

devin-memory adapts the memory-store idea; it adds the parts those tools don't have: a quarantine gate and provenance back to real session rows.

What makes it Devin-native

  1. Side-by-side: every entry can carry source_session_id + source_rowid, auditable against Devin's sessions.db via devin-internals' read-only store — the memory MCP cannot verify that a claimed source session (or a specific message row) ever existed. The quarantine gate also screens every write for secret and injection shapes.
  2. No-Devin: without sessions.db there is no session provenance to audit — the extra disappears.
  3. One sentence: *it's a memory store that remembers where each memory came from — and quarantines suspicious ones until a human releases them.*

Install

Python ≥ 3.10 required; install with uv (recommended) or pipx.

uv tool install 'devin-memory[mcp]'

or with pipx (alternative):

pipx install 'devin-memory[mcp]'

For development:

pip install -e ".[dev]"

pytest

Usage

# Store a fact (screened on write; suspect content lands in quarantine)

devin-memory retain "CI is green on Windows + Linux" --tags ci,status devin-memory retain "..." --source-session --source-rowid devin-memory retain "..." --workspace /path/to/project # scope to a workspace devin-memory retain "..." --expires-at 2026-12-31T00:00:00Z # TTL: drops

out of recall/prime after this instant

Keyword-ranked recall — returns active, unexpired entries only;

scores are weighted by recency decay so fresh memories outrank stale ones

devin-memory recall "ci status" [--json] [--limit 5] [--tags a,b] devin-memory recall "ci status" --include-expired # also surface expired

Quarantine lane: list, mark an existing entry, or release one

devin-memory quarantine # list with reasons devin-memory quarantine [--reason manual:x] # mark entry as quarantined devin-memory quarantine --hold-supersede # mark + hold the supersession:

the superseded parent returns

to active until release/retract

devin-memory quarantine --release # human override -> active

(applies a held supersession)

devin-memory quarantine --digest [--json] # audit hash (read-only)

Contradictions: a conflicting retain is linked, not overwritten

devin-memory conflicts [--json] # (newer, older) pairs; resolve with

supersede / retract / quarantine

Mine a session for durable knowledge -> proposed entries (inactive

until reviewed); extraction is heuristic — see "Limitations"

devin-memory extract --sessions-db path/to/sessions.db devin-memory extract --latest --sessions-db path/to/sessions.db [--auto-approve] devin-memory list --status proposed # review queue devin-memory approve # proposed -> active

Context block for a UserPromptSubmit hook — active entries only,

filtered by workspace + machine profile, bounded by ~4 chars/token;

also appends a generated ecosystem-state block (see below)

devin-memory prime [--workspace PATH] [--max-tokens N] [--state-md PATH] [--max-chars N]

Versioning and housekeeping

devin-memory supersede "corrected fact" [--expires-at ]

default: inherit old expiry

devin-memory retract devin-memory list [--status active|proposed|quarantined|retracted] [--json] devin-memory compact [--json] # dedup report (dry-run) devin-memory compact --apply # retract copies + vacuum the file

Audit an entry's provenance: the write-time seal always runs; with

--sessions-db it also cross-checks source_session_id/source_rowid

devin-memory verify [--sessions-db path/to/sessions.db]

Export active memories to a memory-MCP-compatible JSONL

devin-memory export --out memories.jsonl

MCP server

devin-memory is also a real MCP server (stdio) — the same retain/recall pipeline with the quarantine gate on every write, callable from Devin, Claude Desktop, Cursor or any MCP client:

pipx install "devin-memory-mcp"

The devin-memory-mcp console script also ships inside the base devin-memory dist, so a bare uv tool install devin-memory (no extra) leaves a script that exits with error: The MCP server needs the 'mcp' extra — recovery steps live in the Troubleshooting section of each platform guide (Linux, Personal Windows, Corporate Windows).

Client config:

{

"mcpServers": { "devin-memory": { "command": "devin-memory-mcp", "args": ["--db", "/path/to/memory.db"] } } }

The same stdio server registers in other MCP hosts:

Zed — context_servers in settings.json:

{

"context_servers": { "devin-memory": { "command": { "path": "devin-memory-mcp", "args": ["--db", "/path/to/memory.db"] } } } }

JetBrains — Settings → Tools → AI Assistant → Model Context Protocol → Add:

{ "mcpServers": { "devin-memory": { "command": "devin-memory-mcp", "args": ["--db", "/path/to/memory.db"] } } }

Antigravity — ~/.gemini/config/mcp_config.json:

{ "mcpServers": { "devin-memory": { "command": "devin-memory-mcp", "args": ["--db", "/path/to/memory.db"] } } }

Tools: retain, recall, screen (dry-run the gate, no write), list, retract, supersede, quarantine, release, approve, conflicts, prime, verify, extract, compact, quarantine_digest. The release and approve promotion overrides are only registered when the server runs with DEVIN_MEMORY_MCP_PROMOTE=1 — otherwise promotion stays human-only via the CLI (devin-memory quarantine --release / devin-memory approve ). The same flag gates extract's auto_approve parameter and quarantine's hold_supersede (restoring a superseded parent is promotion-shaped), both forced off without the opt-in so an AI client cannot skip the review step. Every tool returns structured data or a {"error", "detail"} object — nothing raises through the transport. DEVIN_MEMORY_DB works as an alternative to --db.

VS Code: adapters/vscode/ ships an extension that registers this server with the editor's built-in MCP support (server definition provider, VS Code ≥1.102) — launch command, optional DEVIN_MEMORY_DB and workspace cwd are declared there; the promotion opt-in is pinned off so the editor-facing server keeps its non-promoting surface.

adapters/ is a self-contained Devin plugin root (adapters/.devin-plugin/plugin.json + adapters/skills/devin-brain/SKILL.md), installed with devin plugins install Icaro0310/devin-brain#adapters — it ships in the repo, not inside the wheel. The manifest launches the server through uvx --from 'devin-memory[mcp]' devin-memory-mcp; the promotion opt-in (DEVIN_MEMORY_MCP_PROMOTE) is never set, so the plugin-facing server keeps its non-promoting surface. To run against a checkout instead of PyPI, point a local manifest copy at uvx --from '.[mcp]' devin-memory-mcp.

Learn from sessions with devin-learning

This companion CLI extracts candidate lessons from a `sessi

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx