Show HN: Object database for LLMs that persists across chats (MCP server)(dry.ai)
dry.ai
Show HN: Object database for LLMs that persists across chats (MCP server)
https://dry.ai/mcp-object-database
2 comments
This is an awesome idea! And the multiple levels of abstraction enrich the concept.
What would be the pricing model?
I also want to give two shout-outs: - the Echoes Chrome Extension that makes it easy to search through conversations: https://echoes.r2bits.com/ - and Tana, of which the supertags reminds me a bit of your user-defined datatype: https://tana.inc/docs/supertags
What would be the pricing model?
I also want to give two shout-outs: - the Echoes Chrome Extension that makes it easy to search through conversations: https://echoes.r2bits.com/ - and Tana, of which the supertags reminds me a bit of your user-defined datatype: https://tana.inc/docs/supertags
Thanks for the pointers. The pricing is free for now. In the future we’re guessing it will be a typical freemium pricing model. There is also a totally self-hosted version that people can license.
For example, if I find a great coding tutorial in chat, or tell it how much I ran yesterday, it forgets that when I close the chat. Even if I keep the chat history, I still need to scour through lots of messages to find the data I want. Ideally, Claude would remember all this, and I’d be able to find it later with ease. This is what my team built.
It is a collaborative database you add to any LLM that supports MCP. (Claude Code, Desktop, and Pro for now; ChatGPT will soon). You can add, update, and search for items in the database inside chat. You can easily create your own object schemas. There is an automatically generated web UI for using the database. It generates maps, charts, calendars, tables, lists, and other UI elements. You can share or publish the database as well.
Over time, we want to make this database powerful enough to make our lives much simpler by letting LLMs replace a bunch of the apps and software services we use daily.