ChainMemory
OpenMemory MCP
Agentmemory
Memori
Tempreon
Pinecone
Memo.ai
Geniuz
Amazon EKS
Google Kubernetes Engine
Kubernetes
Azure Container Service
Amazon ECS
Amazon EC2
AWS Fargate
AWS Lambda
ChainMemory gives your AI agents persistent memory that belongs to YOU โ not to a single vendor.
Save a memory in ChatGPT, recall it in Claude or Gemini. Available via Chrome extension, MCP server (npm), or REST API. Every memory gets a cryptographic fingerprint and project states are anchored with Merkle proofs, so anyone can independently verify integrity โ no trust required.
Memories consolidate into a structured Project Brain (decisions, milestones, risks) instead of a pile of raw notes. Multi-agent native: Claude, Cursor and GPT share one consolidated state. Free tier available.
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Based on our record, Amazon EKS seems to be more popular. It has been mentiond 79 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.
On managed Kubernetes platforms like EKS, this has a second benefit: the cluster autoscaler pays attention to resource requests when deciding whether to add new nodes. - Source: dev.to / about 1 month ago
After returning from AWS Summit London 2026 I was doing some research on running AI/ML workload in AWS EKS with Karpenter. With some assistance from Gemini I turned some of my notes from various talks into this guide that will talk through the intricacies of deploying and scaling Generative AI (GenAI) workloads on AWS EKS, leveraging the power of Karpenter. - Source: dev.to / 2 months ago
This post is a small step in that direction: serving an LLM using vLLM, deployed on Amazon EKS, provisioned the infra using AWS CDK, and wrapped into a simple chatbot using Streamlit. - Source: dev.to / 3 months ago
In this post, I'll walk you through setting up observability for Spring Boot applications on Amazon EKS - starting with the basics (logs and metrics), diving into distributed tracing, and finishing with Application Signals. Hopefully this saves you some time. - Source: dev.to / 6 months ago
Running Apache Spark on Kubernetes with AWS EMR on EKS brings big benefits โ you get the best of both worlds. AWS EMR's optimized Spark runtime and AWS EKS's container orchestration come together in one managed platform. Sure, you could run Spark on Kubernetes yourself, but it's a lot of manual work. You'd need to create a custom container image, set up networking, and handle a bunch of other configurations. But... - Source: dev.to / 8 months ago
OpenMemory MCP - Your private, local memory layer for all AI tools
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Memori - Persistent memory from agent trace, not just conversation
Azure Container Service - Azure Container Service is a solution that optimizes the configuration of popular open-source tools and technologies specifically for Azure, it provides an open solution that offers portability for both users containers and users application configuโฆ