Epitome

io.github.gunning4it由 GitHub 帳號 gunning4it 發布v1.0.0更新於 Oct 25, 2026

Personal AI memory — gives every AI agent shared, persistent memory of you

已驗證Streamable HTTP可網頁執行知識與記憶AI 與機器學習

概覽

AI 產生的概覽

Epitome 是託管的個人記憶層,透過 recall、memorize 和 review 工具,讓各個 AI 助理共享關於你的持久記憶。

可以做什麼
跨助理與工作階段召回已儲存的個人記憶與檔案資訊,免去每次重複自我介紹與說明偏好。儲存新的記憶,使其持久保存並與其他已連線的助理共享。檢視與管理已儲存的記憶,包含信心分數、來源標註與生命週期管理。建構於結構化檔案、向量語意記憶、鍵值儲存,以及由人物、地點和概念構成的知識圖譜之上。
適用情境
當你希望多個不同的 AI 助理記住關於你的相同資訊(例如偏好、過敏、技術棧或日常作息),而不是每次對話都從零開始時使用。也適合需要為每位使用者保留持久記憶的代理開發者。
執行需求
透過 Streamable HTTP 連線至 epitome.fyi 的遠端 MCP 端點,或使用 Docker Compose 自行託管部署,需要 Node.js 22、搭配 pgvector 的 PostgreSQL 17,以及 Google 或 GitHub OAuth。必須在 Authorization 標頭中提供 Bearer API 金鑰,註冊後可於儀表板設定中取得。
安裝前請注意
此服務會儲存姓名、偏好、人際關係與日常作息等個人檔案資料;若未自行託管,這些資料會傳送給託管服務商。Authorization 中的 Bearer API 金鑰屬於機密,應妥善保管。已連線的助理可以讀寫記憶,建議檢查每個助理的授權規則與稽核日誌。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Epitome,將其新增到工作區。
  2. 連接 Authorization token 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.gunning4it%2Fepitome-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "epitome": {
      "type": "http",
      "url": "https://epitome.fyi/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

[Epitome]

Epitome

One memory layer, every AI agent.

The portable identity layer that gives every AI agent a shared, persistent memory of you.
Open source. Self-hostable. Yours.

[MIT License] [GitHub Stars] [Tests]

Website · Quickstart · Connect an Agent · Docs · Contributing


The Problem

Every AI conversation starts from zero. You repeat yourself to every agent — your name, your preferences, your allergies, your tech stack. Chat history is siloed per app. There's no portable memory layer.

Epitome fixes this. One database that every AI agent shares, so they all remember you.


Quickstart

Hosted (fastest)

  1. Sign up at epitome.fyi
  2. Go to Settings → API Keys and copy your MCP URL
  3. Connect an AI agent — done

Self-Hosted

bash
git clone https://github.com/gunning4it/epitome.gitcd epitomecp .env.example .env    # edit with your credentialsdocker compose up -d

Open localhost:5173 and sign in with Google or GitHub OAuth.


Connect an AI Agent

Get your API key from Settings → API Keys in the dashboard (hosted or self-hosted).

Claude Desktop

Add to your claude_desktop_config.json:

json
{  "mcpServers": {    "epitome": {      "url": "https://epitome.fyi/mcp",      "headers": {        "Authorization": "Bearer YOUR_API_KEY"      }    }  }}

Claude Code

bash
claude mcp add --transport http --header "Authorization: Bearer YOUR_API_KEY" epitome https://epitome.fyi/mcp

Self-Hosted

For self-hosted, replace https://epitome.fyi with http://localhost:3000.

Epitome exposes 3 MCP tools — recall, memorize, and review. See the full tool reference.


Who This Is For

  • AI developers building agents that need persistent user memory
  • Power users who want every AI to remember them across platforms
  • Self-hosters who want full data ownership — no cloud required

Use Cases

  • Your meal-tracking agent remembers your allergies
  • Your coding assistant knows your stack, your patterns, your team
  • Your calendar agent knows your family, your priorities, your routines
  • Every new AI tool you try already knows you on day one

Why Epitome?

Chat HistoryVector DBNote AppsEpitome
Portable identity✓
Multi-agent shared memory✓
Knowledge graph✓
Consent & audit per agent✓
Per-user schema isolation✓
Structured + semantic datapartial✓
Self-hostable✓✓

The Five Layers

#LayerDescription
01Personal DatabaseStructured tables, vector semantic memory, and key-value storage. Your data lives in PostgreSQL — queryable, exportable, yours.
02Portable IdentityA structured profile any AI agent reads instantly. Name, preferences, relationships — zero cold start, every conversation.
03Memory QualityConfidence scoring, source attribution, and lifecycle management. Memories earn trust through reinforcement, not blind faith.
04Knowledge GraphEntities with typed, weighted edges. People, places, concepts — connected in a graph that grows with every interaction.
05Consent & AuditPer-table permissions and an append-only activity log. You control exactly what each agent can see and do.

Architecture

AI Agent ──→ MCP (Streamable HTTP) ──→ Hono API ──→ PostgreSQL                                         │                                    per-user schema                                      isolation

Each user gets their own PostgreSQL schema (user_{id}) — not row-level security, full schema-level isolation. Cross-schema access is impossible at the SQL level.

See EPITOME_TECH_SPEC.md for the full architecture.


Security & Privacy

  • You own your data — self-host or use the hosted service
  • Per-user PostgreSQL schema isolation — not row-level security, full schema separation
  • Per-agent consent rules — you control what each agent can read and write
  • Append-only audit log — every access is recorded
  • GDPR-ready — export or delete all your data at any time

Tech Stack

ComponentTechnology
RuntimeNode.js 22 LTS
APIHono
DatabasePostgreSQL 17 + pgvector
MCP@modelcontextprotocol/sdk
FrontendReact 19 + Tailwind CSS 4 + shadcn/ui
ValidationZod
TestingVitest

Documentation


Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

bash
git clone https://github.com/gunning4it/epitome.gitcd epitome && cp .env.example .envdocker compose up -d

Then open a PR — we're happy to help with your first contribution.


License

MIT

來源:README.md,提交 315813d

工具

0
該伺服器需要 API 金鑰等憑證,因此 SourceWeft 無法在沒有憑證的情況下讀取其工具,也未收錄。

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

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