Supermemory
Mem
OpenMemory
Mengram
Notion
Byterover
OpenMemory MCP
Pieces for Developers
Apache ActiveMQ
RabbitMQ
IBM MQ
ChannelGrabber
Webgility
Apache Kafka
CrazyLister
Multiorders
Supermemory Apache ActiveMQNo features have been listed yet.
Apache ActiveMQ is recommended for enterprises looking for a reliable and scalable message broker, developers needing rich messaging functionality, and organizations that require robust support for various messaging protocols, including JMS, AMQP, STOMP, and MQTT. It is particularly well-suited for applications that need to distribute messages between different applications, languages, and platforms.
Based on our record, Apache ActiveMQ should be more popular than Supermemory. It has been mentiond 7 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.
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
Before Kafka, traditional message queues like RabbitMQ and ActiveMQ were widely used, but they had limitations in handling massive, high-throughput real-time data streams. - Source: dev.to / over 1 year ago
Consume open-source queuing services โ customers can deploy message brokers such as ActiveMQ or RabbitMQ, to develop asynchronous applications, and when moving to the public cloud, use the cloud providers managed services alternatives. - Source: dev.to / over 1 year ago
Apache ActiveMQ is an open-source Java-based message queue that can be accessed by clients written in Javascript, C, C++, Python and .NET. There are two versions of ActiveMQ, the existing โclassicโ version and the next generation โArtemisโ version, which is currently being worked on. - Source: dev.to / about 3 years ago
For real-time streaming, we have other frameworks and tools like Apache Kafka, ActiveMQ, and AWS Kinesis. - Source: dev.to / over 3 years ago
The back-end is designed as a set of microservices communicating through a message broker, ActiveMQ, with a custom configuration to support delayed delivery and other features. - Source: dev.to / about 4 years ago
Mem - Capture and access information from anywhere
RabbitMQ - RabbitMQ is an open source message broker software.
OpenMemory - Give AI agents long-term memory.
IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
Mengram - AI memory API with 3 types: facts, events, and workflows
ChannelGrabber - ChannelGrabber is omnichannel eCommerce software for product content optimization, listings, inventory, order, shipping, invoice and message management. Integrates with eBay, Amazon, Shopify, and more.
