Build your first AI Agent for Postgres on Azure

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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  1. neon-azure-ai-agent-service-get-started

    Build your first AI Agent for Postgres on Azure

    All the code and sample data are available in this GitHub repository. You can clone or download the project.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. neon

    Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.

    We’ll use Neon Serverless Postgres as our database. It’s a fully managed, cloud-native Postgres that’s free to start, scales automatically, and works great for AI agents that need to query data on demand without managing infrastructure.

  4. autogen

    A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

    AI agents are getting a lot of attention lately, but getting started can be confusing. You may have heard about tools like LangChain/LangGraph, Semantic Kernel, AutoGen, or LlamaIndex. They are powerful, but sometimes all you need is something simple that works.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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