User Profiles

User profiles are automatically maintained collections of facts about your users that Supermemory builds from all their interactions. Think of it as a persistent "about me" document that's always up-to-date.

Why Profiles?

Traditional memory systems rely entirely on search:

Search is too narrow: When you search for "project updates", you miss that the user prefers bullet points, works in PST, and uses specific terminology.

Profiles provide the foundation: Instead of searching for basic context, profiles give your LLM a complete picture of who the user is.

Static vs Dynamic

Profiles separate two types of information:

Static Profile

Long-term, stable facts:

• "Sarah is a senior software engineer at TechCorp"
• "Sarah specializes in distributed systems"
• "Sarah prefers technical docs over video tutorials"

Dynamic Profile

Recent context and temporary states:

• "Sarah is migrating the payment service to microservices"
• "Sarah is preparing for a conference talk next month"
• "Sarah is debugging a memory leak in auth service"

How It Works

Profiles are built automatically through ingestion:

1. Ingest content — Users add documents, chat, or any content
2. Extract facts — AI analyzes content for facts about the user
3. Update profile — System adds, updates, or removes facts
4. Always current — Profiles reflect the latest information

Profiles + Search

Profiles don't replace search — they complement it:

• Profile = broad foundation (who the user is, preferences, background)
• Search = specific details (exact memories matching a query)

Example

User asks: "Can you help me debug this?"

Without profiles: LLM has no context about expertise, projects, or preferences.

With profiles: LLM knows:

• Senior engineer (adjust technical level)
• Working on payment service (likely context)
• Prefers CLI tools (tool suggestions)
• Recent memory leak issues (possible connection)

Use Cases

Personalized AI Assistants

Profiles provide: expertise level, communication preferences, tools used, current projects.

const systemPrompt = `You are assisting ${userName}.

Background: ${profile.static.join('\n')}
Current focus: ${profile.dynamic.join('\n')}

Adjust responses to their expertise and preferences.`;

Customer Support

Profiles provide: product usage, previous issues, tech proficiency.

• No more "let me look up your account"
• Agents immediately understand context
• AI support references past interactions naturally

Educational Platforms

Profiles provide: learning style, completed courses, strengths/weaknesses.

Development Tools

Profiles provide: preferred languages, coding style, current project context.

Next Steps