DrawSQL
DBDiagram.io
Azimutt
MySQL Workbench
DbSchema
PopSQL
ChartDB
LucidChart
Mem0
cognee
Supermemory
ChainMemory
Agentmemory
Claiv Memory
Memori
Notion
DrawSQL is a simple, beautiful database diagram editor for developers to ๐ง create, ๐ฌ collaborate and ๐ visualize their entity relationship diagrams.
DrawSQL
Mem0Based on our record, DrawSQL should be more popular than Mem0. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
With this, I went for designing the db. I went to http://drawsql.app/ and created my first draft. Then exported the DDL and did a bit of back and forth with AI. This is the final draft of the database:. - Source: dev.to / 9 months ago
So I started designing the DB using this cool tool. The project has 2 tables, users and categories . The user can create many categories as he wants so the first approach I took was creating a third table, a union table to store user_id and category_id. With this solution the users are able to create x numbers of categories and we can see assign the category to the user. - Source: dev.to / over 1 year ago
Once you have generated the SQL code, you can convert it into a relational schema (the graphical table model) using DrawSQL. This tool offers:. - Source: dev.to / over 1 year ago
DrawSQL makes it easy for teams to collaborate on creating and maintaining schema diagrams. With a single source of truth, there's no need for manually syncing diagram files between different developers and offline tools anymore. Source: about 3 years ago
To be honest, since you are just getting started, I think you should reconsider simplifying this app to begin with. Built something easier and get some more experience before jumping in the ocean. Maybe start by focusing only on the parent company and sub-companies. However, I strongly recommend you to try and make a diagram of your database with relations and columns as it can you a lot of time. I personally use... Source: about 3 years ago
This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0 which have invested both resources and time to solve this problem. - Source: dev.to / about 1 month ago
Mem0 is probably the most mature cloud-hosted memory option. Good semantic search, clean API, supports multiple LLM providers. The cloud dashboard is solid for browsing stored memories. - Source: dev.to / 3 months ago
DBDiagram.io - Free database diagrams designer for analysts & developers ๐
cognee - Memory for AI Agents
Azimutt - Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)
Supermemory - ai second brain for all your saved stuff
MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.
ChainMemory - Portable, verifiable memory for AI agents โ works across ChatGPT, Claude, Gemini and any MCP client