Build your own ...
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A memory for ChatGPT and Claude that makes them your everything app
A ChatGPT for your team or community's data that reflects your own beliefs, preferences, and goals.
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.
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.
Build a professional networking, skill finder, and/or jobs board platform for your own community.
Crowdsource a search engine together with your community that's based on your own interests , views, and favorite information sources.
for your team that reflects how you want to work.
for tracking bugs and assigning tasks to your dev team.
for organizing meetings and tracking relevant topics.
for organizing content and files. Create mood boards on any topic or aesthetic. Keep all your important media and links in one place.
for sharing code snippets with your team.
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
You’re a juggling signups, bug reports, user feedback, hiring, meetings, and more. Until now, each lived in a separate silo. With Dry, you can create them all inside your AI assistant, turning ChatGPT and Claude into your hyper-customized everything app.
Dry's shared memory is what you need to make AI evolve.
Your AI assistant (like ChatGPT or Claude) will eventually replace the clutter of apps and services you need to deal with. It will become your own hyper-customized everything app. Dry's shared memory is what you need to speedun this evolution.
Dry doesn’t just rely on vibes. It gives AI assistants real context by structuring your data, remembering what matters, and turning it into reusable tools. No code needed. Just instant apps and workflows you can use across any AI assistant or IDE.
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.
Today, AI assistants use projects to let you store and work with databases of text documents. Dry has projects that let you work with and define any type of structured data.
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.
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.
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 ChatGPT and Claude are MCP clients; most other major AI assistants 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.
A wide range of people are using Dry, from individuals and influencers to extremely large organizations.
You’re keeping up with fitness goals, todo lists, journals, car maintenance, home tasks, and more. Each lives in a separate app or notebook. Dry brings all of them all into your AI assistant, turning scattered routines into one organized knowledge hub that remembers everything.
You’re juggling essays, research notes, portfolios, link trees, profiles, and more. Until now, each lived in a separate app or folder. Dry pulls your scattered projects into one AI-powered hub.
At home, you’re keeping up with trips, weddings, potlucks, photo sharing, dinner clubs, and more. Until now, each lived in a separate group chat, app, or calendar. With Dry, all the little things that matter stay connected in one place.
At work, you're managing projects, tracking issues, building knowledge bases, hiring, measuring KPIs, and more across separate tools or SaaS platforms. With Dry, you can create them all inside your AI assistant, turning fragmented workflows into one connected system your whole team can rely on.
Create custom GPTs that reflect your views and knowledge, crowdsource recommendations and reviews (of movies, books, restaurants, anything) based hyper-niche tastes, build a custom LinkedIn/Facebook/X/Eventbrite/etc. for you community, and much more.
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.
Dry is much more than a memory for prior chats. It has a unique combination of capabilities that significantly expands the power of AI assistants (like ChatGPT and Claude).
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.
"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.
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.
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.
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.
"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. 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, with zero coding.
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.