Introduce yourself.
Agents are starting to mediate the digital world. For that to work well, they need to know who they're working with. Fraglets are composable building blocks of identity — characteristics you can create, discover, borrow, and combine. Wear them as jackets: personas for different moods and situations, built from your own fraglets and others'. A hyper-personalised internet starts with a proper introduction.
How it works
Paste a prompt into ChatGPT, Claude, or Gemini and it will export your preferences as fraglets. Instant library.
Add one JSON snippet to any MCP-compatible client. Your agent can then read, create, and manage your fraglets.
When a service needs context about you, the picker selects the right fraglets at the right level of detail.
Discover fraglets other people have shared. Associate with ones that fit, or adapt them to make your own version.
Why not just use your AI's memory?
Your AI probably already knows you well. The problem is that knowledge is locked inside one provider, buried in chat history, and impossible to share. Fraglets take what your AI has learned and make it portable, structured, and yours to control. Share specific preferences with specific services. Revoke access when you want. Use the same profile across providers. Your AI's memory is the starting point. Fraglets are what make it useful beyond a single conversation.
What is a fraglet?
A structured preference profile in a specific domain: music, food, travel, property, anything. Human-readable text plus a vector embedding, so it works for people and machines. Portable across services. Shareable by choice. Read the full concept at fraglet.org
Shape how agents see you
Compose jackets — personas built from any combination of characteristics. Your own fraglets, ones you've picked up from others, adapted to fit. A date-night jacket might mix your food tastes with a cocktail fraglet you discovered. A work-travel jacket focuses on your hotel and solo-dining preferences.
Try on someone else's published jacket for a night, or adapt it to make it yours. A food critic's picks, a friend's going-out persona, an editorial "72 hours in Edinburgh" — jackets turn fraglets from a preference store into a creative medium.
Built on MCP
Fraglets use the Model Context Protocol. Any MCP-compatible agent — Claude, OpenClaw, or whatever comes next — can read, create, and manage your profiles. No special integration required.
If your agent speaks MCP, it already works with fraglets.
London restaurant and live music recommendations, matched to your food and music fraglets. mostmaker.app
Fraglets describe how you choose, not who you are. No names, no locations, no personal data. Your agent shares only what's relevant, and only when you ask.