Supermemory
Mem
OpenMemory
Mengram
Notion
Byterover
OpenMemory MCP
NDLedger
DynamoDB
AWS Lambda
Amazon S3
MongoDB
Amazon API Gateway
Redis
Apache Cassandra
Amazon RDS
Supermemory
DynamoDBNo features have been listed yet.
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Based on our record, DynamoDB seems to be a lot more popular than Supermemory. While we know about 127 links to DynamoDB, we've tracked only 3 mentions of Supermemory. 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.
Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / about 1 month ago
We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 2 months ago
My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / almost 2 years ago
In mid 2022, while working with DynamoDB, we used a project called dynamodb-toolbox that helps manage entities and query DynamoDB. As we relied on the project heavily, I wanted to take part in it and opened an issue where I asked if I could help maintain the library. After talking to the author, Jeremy, for a bit, I started co-maintaining it along with other projects that Jeremy created. I would say that after... - Source: dev.to / 23 days ago
In a multi-environment setup, I want production Amazon DynamoDB tables and S3 buckets to survive accidental stack deletions. But in dev, I want clean teardowns without orphaned resources cluttering the account. Previously, I needed separate templates or manual post-deploy steps because DeletionPolicy only accepted a static string. - Source: dev.to / 2 months ago
You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 3 months ago
In this application, we will create products and retrieve them by their ID and use Amazon DynamoDB as a NoSQL database for the persistence layer. We use Amazon API Gateway, which makes it easy for developers to create, publish, maintain, monitor, and secure APIs. Of course, we rely on AWS Lambda to execute code without the need to provision or manage servers. We also use AWS SAM, which provides a short syntax... - Source: dev.to / 6 months ago
Once we have the elevation data for a grid cell from Google, it is stored in DynamoDB, indexed by the cell's center coordinates. This allows quick lookups whenever a pointโs elevation is needed, without hitting Googleโs API repeatedly. - Source: dev.to / 10 months ago
Mem - Capture and access information from anywhere
AWS Lambda - Automatic, event-driven compute service
OpenMemory - Give AI agents long-term memory.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Mengram - AI memory API with 3 types: facts, events, and workflows
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.