Build your own ...
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A memory for Claude and ChatGPT that makes them your everything app
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ChatGPT
A ChatGPT for your team or community's data that reflects your own beliefs, preferences, and goals.
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Rotten Tomatoes
Share movie, television, and other media reviews with your community. Science fiction fans, religious communities, retirees, college students, etc. Everyone has different tastes. You can now build a platform that reflects these differences.
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Yelp
Crowdsource reviews tailored to your community's preferences. Whether football fans searching for a bite near stadiums or ballet-goers planning a post-show dinner, each group can create its own space to discover the perfect spot.
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Build a professional networking, skill finder, and/or jobs board platform for your own community.
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Crowdsource a search engine together with your community that's based on your own interests , views, and favorite information sources.
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Project Manager
for your team that reflects how you want to work.
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Issue Tracker
for tracking bugs and assigning tasks to your dev team.
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Meeting Planner
for organizing meetings and tracking relevant topics.
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Archives
for organizing content and files. Create mood boards on any topic or aesthetic. Keep all your important media and links in one place.
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Paste Board
for sharing code snippets with your team.
Dry lets anyone turn ideas to working software
Developers: create custom data ontologies, build MCP servers with no code
Creators: build a Chat GPT for your articles or portfolio, create mood boards, organize materials
Students: chat with documents, take notes, generate citations, create AI study tools
Energy: nuclear component tracking and compliance management, track your inventory
Organizations: build event spaces, create an RSVP app, create an FAQ, build an org chart
Teams: manage tasks, track bugs, encrypt notes, give your documentation a chat interface
The missing link in AI's evolution
AI assistants (like Claude and ChatGPT) will eventually become your own hyper-customized everything app. Dry gives them a shared memory to speedrun this evolution. It is based on the Dry Abstraction.
Structured data
Today, AI assistants use projects to let you store and work with databases of text documents. Dry has smartspaces that also let you work with structured data.
Make your own data types
Dry lets you define your own custom data types. With a simple interface (and no coding) you can list a type's fields, specify what they mean, and much more. The types drive the interface, data security, and AI chat's ability to precisely understand you.
Graphical user interface
Sometimes words are not enough. Charts, maps, calendars, forms, lists, and other interface elements can be more effective than natural language chat alone in many cases. That's why Dry automatically generates a graphical user interface for your information. You can easily customize the interface, without coding.
Collaborate, share, publish.
Dry lets you invite people to smartspaces to share your data. You have granular control over who can view or edit any field on any type of item. This gives you the power to use Dry for publishing, online communities, team collaboration, or totally individual and private work.
Enabled by Model-Context Protocol (MCP)
You don’t need to understand MCP to use Dry, but in nerdspeak: Dry is an MCP server that can work with any MCP client. Some versions of Claude and ChatGPT are MCP clients; most other major AI assistatns are likely to be soon. Dry uses the types you define to create MCP tool and resource code that enables any MCP client to use data in Dry.
Who uses it
A wide range of people are using Dry, from individuals and influencers to extremely large organizations.
Individuals
Use Dry to track your diet and fitness, manage a todo list, keep a journal, track car and home maintenance, organize personal records, and generally make your life richer and simpler.
Authors, students, creators
Make a custom ChatGPT for your articles or portfolio, a link tree, a profile that shows off your best self, a chat-enabled research archive, and much more.
Friends & family
Plan trips, organize weddings, share photos, organize potlucks, coordinate events, run a dinner club, and much more.
Teams
Manage projects, track issues, make a team knowledge base, seamlessly integrate recruting/interviewing/hiring, track KPIs, and much more.
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Online communities
Build custom ChatGPTs that reflect your views and knowledge, crowdsource recommendatins and reviews (of movies, books, restaurants, anything) based hyper-niche tastes, build a custom LinkedIn/Facebook/Twitter/Eventbrite/etc. for you community, and much more.
Manufacturing, energy, defense
Human dynamism is held back by monolithic and poorly-customized software organizations have to use. With Dry you will be able to use AI assistants to replace all that with a platform that is very simple, powerful, and optimized to your specific needs. Build a maintenance tracking database for nuclear reactor components, automate brief preparation, manage contracts, streamline operations, and much more.
How it’s different
Dry gives AI assitants the scaffolding they need to become your everything app.
Not code generation.
AI-code generation tools are extremely important and can make software engineers more productive. However, even with these tools, you still need a lot of engineering resources to build useful software. Many important projects never happen because they don't have that. Dry lets you build what you need in minutes or hours, with zero coding.
The “it actually works” vibe.
"Vibe coding" tools generate something that superficially looks like what you want, but the result usually doesn't work how you want, and it isn't secure. You need to do a lot of coding to get it to actually work.
The scaffolding AI needs.
Software is driven largely by the structure of data the software tracks. This is called an "ontology". It drives most aspects of software: security, business logic, graphical user interface, and much more. This is missing in vibe coding and code-generation tools. Dry provides this structure.
Not another no-code tool.
Dry is based on a novel database technology that is key to its powers. In nerdspeak: it's a typed graph database with text search, folders, object-category duality (OCD), nested data, and granular role-based permissions. You don't need to know about any of this to use Dry, but it's a major reason Dry bridges the gap between the software you need and what no-code tools can produce.
Memory on steroids
Today, the memories of AI assistants have been extremely limited in functionality. Dry’s memory lets you work with rich structured data, it lets you share it with people, it lets you control access to it with a granular permission system, and it automatically generates an intuitive graphical user interface for your information. Together these capabilities give Dry’s memory the ability to transform AI assistants into extremely general, hyper-customized platforms.
The scaffolding AI needs
Software is driven largely by the structure of data the software tracks. This structure drives most aspects of software: security, business logic, graphical user interface, and much more. This is missing in vibe coding and code-generation tools. Dry provides this structure.
It's not code generation
AI-code generation tools are extremely important and can make software engineers much more productive. However, even with these tools, you still need a lot of engineering resources to build useful software. Many important projects never happen because they don't have that. Dry lets you build what you need in minutes or hours, with zero coding.
The “it actually works” vibe
"Vibe coding" tools generate something that superficially looks like what you want, but the result usually doesn't work well and it isn't secure. You need to do a lot of coding to get it to actually be useful.
Enabling Technology
Dry is based on a novel database technology that is key to its powers. In nerdspeak. Dry has a typed graph database with text search, folders, object-category duality (OCD), nested data, and granular role-based permissions. It automaticaly generates MCP tools from type descriptions. You don't need to know about any of this to use Dry, but it's a major reason Dry bridges the gap between the software you need and what no-code tools can produce.
