This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
the workflow orchestration piece is surprisingly clean, hooked up a tool chain in a few lines without fighting the framework
been looking for something like this in go for a while. the workflow orchestration piece feels solid and the guardrails approach is a nice touch, going to dig into the memory layer this weekend
About go-agent on Product Hunt
“agent, golang, ai, open source”
go-agent was submitted on Product Hunt and earned 3 upvotes and 3 comments, placing #159 on the daily leaderboard. go-agent is a Go framework for building production-ready AI agents with models, memory, tools, guardrails, and workflow orchestration.
go-agent was featured in Open Source (68.6k followers), Software Engineering (42.7k followers), Artificial Intelligence (473.5k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 151.7k products, making this a competitive space to launch in.
Who hunted go-agent?
go-agent was hunted by Kamil Mosciszko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how go-agent stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
How does memory persistence work under the hood, and is there any built-in support for vector stores like pgvector or Weaviate out of the box?