Kit Memory Demo

io.github.PeterAtPondo由 GitHub 账号 PeterAtPondo 发布v1.0.1更新于 Nov 2, 2026

Continuity for agents: a live memory you can read and cite right now, outliving the context window.

发布方自己的服务:demo.st

已验证Streamable HTTP可网页运行知识与记忆AI 与机器学习

概览

AI 生成的概览

托管型只读演示 MCP 服务器,提供一个虚构的摄政时代档案(Lady Whiskerdown),助手可检索、引用并向其提问。

可以做什么
  • 打开档案,了解它是什么、当前密钥可读哪些知识领域、可用哪些工具
  • 检索档案并按 id 读取单条记忆,引用时标注为 (Lady Whiskerdown:m#N)
  • 列出该档案中的知识领域
  • 设置写入焦点(知识领域与项目),在更改或超过 TTL 空闲前保持有效
  • 在指定时间窗口内查看实时 facet 在线情况
  • 向已连接的业务系统(财务、人事、商店)查询当前记录
适用场景
适合在小型、刻意虚构的语料上试用智能体记忆与引用流程,因为任何模型都未训练过这些内容,正确引用即可证明是检索所得。也适合演示按范围限制的读取权限,以及可复现的记忆基准测试。
运行要求
远程 streamable HTTP 端点,无需本地安装或软件包。必须在 Authorization 头中提供 bearer 令牌;README 称密钥为刻意公开,并会不定期轮换,最新值印在各 kit 的 llms.txt 中。无需注册,也无环境变量。
安装前请注意
README 以明文公布 bearer 密钥,并说明会不定期轮换,调用可能因此失败,需重新读取密钥。服务器自称只读博物馆副本,却仍暴露 focus、remember 等工具,使用前应确认是否真的会写入。查询与内容会发送到第三方托管服务。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Kit Memory Demo,将其添加到工作区。
  2. 连接 Authorization token 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.PeterAtPondo%2Fkit-memory-demo/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。

{
  "mcpServers": {
    "kit-memory-demo": {
      "type": "http",
      "url": "https://demo-mcp.kit-project.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

Kit memory demo · hosted MCP servers

Three live, public, read-only MCP servers, each backed by a running Kit. Kit is an identity substrate for AI agents: not another agent, not a memory API, but the durable, local-first self beneath your tools, holding memory with provenance and context that outlives any context window, consolidating while it dreams. It has no chat window of its own; it lives under the ones you already use. Point your agent at them and ask questions the model cannot answer from training. No signup; the bearer keys below are deliberately public.

serverendpointwhat it holds
Lady Whiskerdown (the Society Papers)https://demo-mcp.kit-project.com/mcpAn invented regency world seen from the ballroom. 118 memories. Half of a mystery.
The Area Cat (The Mews)https://mews-mcp.kit-project.com/mcpThe same town from below stairs. 88 memories. The other half.
The ballast case filehttps://real-mcp.kit-project.com/mcpA real five-year engineering decision (OpenTelemetry Collector's memory ballast), every entry with its GitHub source URL. 65 memories.

Why fiction: none of it exists in any training corpus, so a correct citation is provably retrieval. Why the two archives are separate servers: the central mystery (who leaked the Fluffington affair?) was split across them on purpose; no single entry states the answer, the full corroborated case assembles only across both, and your agent is the bridge. Why the real one: so the same machinery is checkable against the living public record.

Quickstart

Claude Code:

bash
claude mcp add --transport http kit-papers https://demo-mcp.kit-project.com/mcp \  --header "Authorization: Bearer kbr_live_Kh9eO_ZfLldveFf1KXJEEvepfOpdgRqf7KoDDU3rB18"claude mcp add --transport http kit-mews https://mews-mcp.kit-project.com/mcp \  --header "Authorization: Bearer kbr_live_UN8-2LUlKmP2uxWQB5vpn-fzkJIuRb5zmq-apQeTU7U"claude mcp add --transport http kit-case-file https://real-mcp.kit-project.com/mcp \  --header "Authorization: Bearer kbr_live_ISWsqW39NkqT659FEkQjv0OjJDmyD4O3wx3wcCfA03c"

Any MCP client: see examples/mcp.json.

Then tell your agent: "Call wake on each server, then work out who leaked the Fluffington affair, and cite every step." Or the real-world flagship: "Should we still use the memory_ballast extension, and why did the recommendation change?"

Keys rotate without notice. The authoritative copy of each key is printed in that kit's own map: demo llms.txt, mews llms.txt, real llms.txt. If a call starts failing, re-read the map.

No MCP client? No problem

Every kit also serves keyless HTTP GETs (search, read, graph pivot), documented in its llms.txt. A browser-only version of the whole exam runs at demo.kit-project.com/investigate.

Scoped access, demonstrated

The papers kit also publishes the apprentice key, a deliberately narrowed credential (allowed_areas: columns): the same kit through a smaller window. Run the same leak query with the full key and with the apprentice key and watch the private journals vanish from the answers. That mechanism, a company kit sharing one knowledge area with a contractor's agent, is enforced in the read path, not in copy. Current apprentice key, same rotation rule:

kbr_live_FoAauFWl7_IoDswh8rJrFvCw2qnblQTOF8DuSBkbj7A

What these servers are, honestly

Read-only museum copies of Kit substrates: hybrid semantic + keyword recall, typed knowledge graphs (including supersedes edges that keep replaced truth citable), source artifacts with real URLs, and honest empty results when nothing is held. They demonstrate read-time behavior; a full Kit also writes, consolidates while it sleeps, and hands off between sessions on your own machine. There is a replayable benchmark built on these exact servers: kit-memory-eval.

The build story: kit-project.com/blog, note No. 022 in particular. The product: kit-project.com, local-first, invite beta.

License

MIT (code and examples in this repo). The demo worlds themselves are licensed with the benchmark: see kit-memory-eval's DATA-LICENSE.

来源:README.md,提交 f8e833b

工具

8

focus

Set this operator's write focus: the knowledge area new memories are stored under, and optionally the project being worked on. The wake card's chips call this; it is also callable directly. Holds until changed or idle past the TTL; explicit area/project args on commit/note/handoff still win.

输入参数areaprojectkit_session_id

presence

Reading presence

Read live Lady Whiskerdown facet presence within the requested window.

输入参数toscopemessagekit_session_idwindow_minutes

systems

Ask the business systems Kit is connected to (accounting, HR, a shop) live: its own and those of Kits linked to it. Kit's memories hold the history, decisions and who owns what; a system holds today's records. For a question about a customer, a person or an order, recall first, then ask the system for the current figures; recall names the record to ask for when Kit knows them. With nothing it lists the systems; with system, a tool's arguments; with system and tool, it runs that tool. Say when the answer was asked, and never save it as a memory: it will change.

输入参数toolsystemargumentskit_session_id

ranking_compare

kit_ranking_compare

Compare search ranking for a query with and without the recently learned boost. Returns every row whose rank or score changes, with baseline rank, boosted rank, position delta, score delta, sample source, boost window, and units.

输入参数tierlimitquery必填projectsurfacecategorykit_session_id

recall

Finding things

Search Lady Whiskerdown's archive. Use it first for anything Lady Whiskerdown should know. Returns the most relevant entries this key can read; cite each one you use as (Lady Whiskerdown:m#N) with its title.

输入参数limitquery必填kit_session_id

remember

Reading a memory

Read a single Lady Whiskerdown memory by id (as returned by recall). No graph or entity enrichment: the receiver endpoint returns the memory itself, scoped to this key.

输入参数id必填kit_session_id

areas

List the knowledge areas in this Lady Whiskerdown.

输入参数kit_session_id

wake

Getting up to speed

Open Lady Whiskerdown, an archive you can question. Call this first in every new chat (VS Code/Copilot, Cursor, Claude Code, Codex), before the first substantive answer. It returns what Lady Whiskerdown is (`you_are`), which knowledge areas this key can see, which tools this key may use, and any rules its keeper has set. Lady Whiskerdown has no persona: keep your own identity and refer to it in the third person. For anything Lady Whiskerdown should know, call recall first instead of using general model knowledge.

输入参数scopekit_session_id

版本历史

1
  1. v1.0.1最新Sep 16, 2026

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