The site above only runs local in browser models and uses a local user account. So it’s easy for infinite people to play with and costs me nothing to host.

It’s still a ways away from a Show HN post, and is more capable with remote frontier models, or with gguf over onnx (maybe?) whenever I get the local app out.

[0]: https://google.github.io/adk-docs/

Got part way through their tutorial, seemed okay. Haven't used it in prod, though.

0: https://mastra.ai/

If you use it with OpenAI responses api, there’s not even any need to store input items in your own DB

> AI agents: Individual agents that use LLMs to process user inputs, call tools and MCP servers to perform actions, and generate responses. Agents support model providers including Azure OpenAI, OpenAI, and Azure AI.

> Workflows: Graph-based workflows that connect multiple agents and functions to perform complex, multi-step tasks. Workflows support type-based routing, nesting, checkpointing, and request/response patterns for human-in-the-loop scenarios.

It’s a modern cross platform open source language with very good performance

I remember Microsoft Agents as the enforcement arm of the Business Software Association.

They'd perform copyright raids on small biz, typically after some disgruntled employee phoned in an infringement tip.

Unfortunately, the API died in Windows Vista, and was only widely available in Windows XP at the latest.

API documentation seems rather sparse too, though it looks like an LLM somewhere found a pirated book or something with example code because generated code seems to understand the API and its restrictions decently well. Writing the kind of C++ that still compiles on old versions of Windows is what broke my will to finish the project, though.