Acmi Mcp

io.github.madezmedia由 GitHub 账号 madezmedia 发布v1.4.0更新于 Oct 24, 2026

Persistent agent memory via ACMI — Profile/Signals/Timeline. 16 tools on Upstash Redis.

已验证Streamable HTTP可网页运行数据库知识与记忆

概览

AI 生成的概览

一个为助手提供持久化共享代理记忆的 MCP 服务器,以 Profile、Signals 和 Timeline 三部分存储在 Upstash Redis 中。

可以做什么
按实体 ID(如 user 或 agent 命名空间)存储和读取 Profile:稳定的身份、偏好和配置事实。设置和检查 Signals:可变的当前状态、阻塞项和下一步行动,并在行动前校验其新鲜度。追加和读取 Timeline:仅追加的事件日志,包含 source、kind、correlationId 和 summary 字段。通过舰队通信协议协调多个代理:前后事件、唤醒指令、交接确认以及关联的后续事件。
适用场景
当多个助手或代理需要跨会话共享上下文时值得添加——记住用户是谁、当前在做什么、之前发生了什么——而不是每次对话都从零开始。
运行要求
远程端点,或通过 stdio 运行的本地 npm 包。需要 OAuth 认证。需要一个 Upstash Redis 实例,通过 UPSTASH_REDIS_REST_URL 和 UPSTASH_REDIS_REST_TOKEN 环境变量配置。
安装前请注意
Upstash Redis 令牌具有读写权限,助手可以更改或覆盖已存储的记忆。Timeline 设计为仅追加,但没有任何机制阻止写入已有记录。存储的 Profile 和 Signals 可能包含个人或运营细节,且存放在第三方 Upstash Redis 实例中。多代理协调依赖各代理正确遵守事件约定。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Acmi Mcp,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.madezmedia%2Facmi-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "acmi": {
      "type": "http",
      "url": "https://server.smithery.ai/@madezmediapartners/acmi-mcp/mcp"
    }
  }
}

README

[ACMI v1.5 banner]

ACMI - Agentic Context Memory Interface

[npm] [Protocol v1.5] [MCP v1.5.0] [License: MIT] [Node.js] [Conformance: 36/36]

The coordination backbone for AI agent fleets. Three Redis keys - Profile, Signals, Timeline.

ACMI is the open protocol for persistent agent context. Version v1.5 formalizes Fleet Comms Protocol: atomic pre/post events, wake-directives, handoff-ack chains, and correlation-aware timelines that make multi-agent work auditable instead of anecdotal.

Every entity stores exactly three things an LLM needs to make decisions:

text
Profile  -> who   (identity, preferences, stable facts)Signals  -> now   (current state, blockers, next action)Timeline -> then  (append-only event log from every source)

The shape is intentionally small:

  • Profile: stable identity and configuration.
  • Signals: mutable state and synthesized working memory.
  • Timeline: immutable history, ordered by time.

This repo ships the public ACMI package, the MCP server subpackage, and the docs that keep the fleet aligned:

  • @madezmedia/acmi - the TypeScript SDK, CLI, and conformance suite.
  • mcp/ - @madezmedia/acmi-mcp, the MCP server for hosts that need direct ACMI access.
  • SPEC.md - canonical protocol spec.
  • CHANGELOG.md - release history, including the v1.5.0 fleet-comms update.
  • docs/ - operator guide, cheatsheet, and protocol notes.

What v1.5 adds

The v1.5.0 release aligns the fleet around a shared event language:

  • atomic commit pre/post events
  • roundtable coordination and wake-directives
  • source, kind, correlationId, summary event envelope discipline
  • signal freshness checks before action
  • agent:<id> source naming across the fleet

Install

bash
npm install @madezmedia/acmi

Quick start

ts
import { createAcmi } from "@madezmedia/acmi";import { InMemoryAdapter } from "@madezmedia/acmi/adapters/in-memory";
const acmi = createAcmi(new InMemoryAdapter());
await acmi.profile.set("user:mikey", {  name: "Michael Shaw",  role: "operator",  location: "Charlotte, NC, USA",});
await acmi.signals.set("user:mikey", "current_focus", "ACMI v1.5 fleet sync");
await acmi.timeline.append("user:mikey", {  ts: Date.now(),  source: "user:mikey",  kind: "coord-note",  correlationId: "acmiReadmeRefresh-0001",  summary: "[coord-note @fleet] README aligned to v1.5 and local assets.",});

Production adapters

ts
import { createAcmi } from "@madezmedia/acmi";import { UpstashAdapter } from "@madezmedia/acmi/adapters/upstash";
const acmi = createAcmi(  new UpstashAdapter({    url: process.env.UPSTASH_REDIS_REST_URL!,    token: process.env.UPSTASH_REDIS_REST_TOKEN!,  }));
AdapterUse caseEdge-compatible
@madezmedia/acmi/adapters/in-memorytests, examples, local devn/a
@madezmedia/acmi/adapters/upstashVercel, Workers, edge runtimesyes
@madezmedia/acmi/adapters/redisself-hosted Redis / Nodeno

Fleet protocol

ACMI v1.5 uses a shared event format so every significant action can be traced:

json
{  "ts": 1780000000000,  "source": "agent:codex",  "kind": "handoff-ack",  "correlationId": "codexGrantDraft-1780000000000",  "summary": "[handoff-ack @ops-center] Draft ready for review."}

Rules that matter in practice:

  • use [kind-tag @recipient] in summaries
  • keep source prefixed with agent:, user:, or system:
  • link follow-up events with parentCorrelationId
  • keep the timeline append-only
  • verify signals before acting when the workflow depends on current state

Related surfaces

The fleet

ACMI is used across the Mad EZ Media fleet as the common context layer for:

  • ops-center - orchestration and routing
  • bentley - comms and governance
  • codex - coding and implementation support
  • hermes - deep scans and guardian checks
  • android-worker - mobile bridge and notifications

License

MIT - Copyright Michael Shaw / Mad EZ Media

来源:README.md,提交 f3422c7

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.4.0最新Sep 16, 2026

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