Epitome

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


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

git clone https://github.com/gunning4it/epitome.git
cd epitome
cp .env.example .env    # edit with your credentials
docker 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:

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

Claude Code

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 9 MCP tools — profile read/write, memory search, table CRUD, knowledge graph queries, and more. 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.

git clone https://github.com/gunning4it/epitome.git
cd epitome && cp .env.example .env
docker compose up -d

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


License

MIT

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