Amazon ECR
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Based on our record, Amazon ECR seems to be a lot more popular than Supermemory. While we know about 53 links to Amazon ECR, we've tracked only 4 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.
Lightsail is a good home for a single small container: flat pricing, bandwidth included, and none of the VPC/security-group ceremony of EC2. The one rough edge is pulling a private image from Amazon ECR, because a standard Lightsail instance can't authenticate to ECR the way EC2 can. This post walks the whole path. - Source: dev.to / about 1 month ago
Let's build the Docker file and upload it to the Amazon Elastic Container Registry:. - Source: dev.to / 3 months ago
Let's cover the artifact part. You can automate the steps of building the Docker file, uploading it to the Amazon Elastic Container Registry, and referencing the image URL completely. The AgentRuntimeArtifact class offers different from* methods (fromCode, fromAsset, and so on). I prefer to do those steps separately and only reference the image URI. This is how publishing to ECR works :. - Source: dev.to / 4 months ago
The documentation also says that the second component is required to receive the metrics and traces: the AWS Distro for OpenTelemetry Collector. In all the examples AWS provides, the collector is a sidecar application deployed with Docker Compose. Unfortunately, it's not possible to use Docker Compose for the AgentCore Runtime. We only provide the reference to the image in the Amazon Elastic Container Registry... - Source: dev.to / 5 months ago
You can build and tag the image now if you are familiar with Docker. Or, you can check the next section for how to build and push the image to AWS ECR. - Source: dev.to / 6 months 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
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 / 3 months 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 / 4 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 / about 2 years ago
Docker Hub - Docker Hub is a cloud-based registry service
Mem - Capture and access information from anywhere
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.
Mem0 - Your private, local memory layer for all AI tools
Google Container Registry - Google Container Registry offers private Docker image storage on Google Cloud Platform.
Pieces for Developers - Centralized code snippet manager to streamline your workflow