Agent Development Kit
n8n.io
tavily
Wellfound
Google Cloud Search
Google Cloud Machine Learning
CouchBase
MongoDB
Redis
ArangoDB
CouchDB
Apache Cassandra
OrientDB
Azure Cosmos DB
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Based on our record, Agent Development Kit should be more popular than CouchBase. It has been mentiond 9 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.
In this guide, you will learn how to build a frontend for your Agent Development Kit (ADK) Agents using AG-UI Protocol and CopilotKit. ADK will power the AI agents backend, while CopilotKit powers the frontend, and then AG-UI creates a bridge that enables the frontend to communicate with the backend. - Source: dev.to / 11 days ago
We will be using the Google ADK Library in this case. Prior knowledge of the library isn’t strictly necessary, as the examples are straightforward and easy to understand. - Source: dev.to / about 1 month ago
ADK offers flexibility in the way you interact with your agents: CLI, Web UI, API Server and API (Python). The way you define your agent (the core logic within agent.py) is the same regardless of how you choose to interact with it. The difference lies in how you initiate and manage the interaction. For all you find examples in the ADK documentation. - Source: dev.to / 3 months ago
I used a mix of tools to build this project, each handling a different part of the process. Google ADK helps run the AI agents, Couchbase stores past Kubecon talks data and performs the vector search, and Nebius Embedding model for generating embeddings and LLM models (Example: Qwen) generates summaries and talk abstracts. - Source: dev.to / 3 months ago
Google Agent Development Kit is is a flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic (fancy word for saying that it can use any agent like openAI,etc), deployment-agnostic, and is built for compatibility with other frameworks. ADK was designed to make agent development feel more like software development, to make it... - Source: dev.to / 3 months ago
I used a mix of tools to build this project, each handling a different part of the process. Google ADK helps run the AI agents, Couchbase stores past Kubecon talks data and performs the vector search, and Nebius Embedding model for generating embeddings and LLM models (Example: Qwen) generates summaries and talk abstracts. - Source: dev.to / 3 months ago
It is therefor with great satisfaction we hereby announce that we might sponsor your Open Source project with your own custom AI chatbot built on top of ChatGPT and our AI chatbot technology. To show you an example of how this might look like, consider the following chatbot we've created for CouchBase. - Source: dev.to / over 2 years ago
I think the URL is linked from https://couchbase.com/ or cloud.couchbase.com. Source: almost 4 years ago
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
tavily - Autonomous agent designed for comprehensive online research
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Wellfound - Where the startup world goes to find what’s next.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
