Enterprise API and SDK that connects a live conversation to named AI agents. A transcript while the session is open, then one file per agent when it ends.
Resum connects a live conversation to the AI agents you name.
You open a session and wait until the speech socket is ready. Then you send audio from a microphone, a file, or a live stream. While people are still talking, finalized turns append to a transcript. When the session ends, each named agent gets one file. notes and summary have a fixed shape. Any other name you pass is plain text.
Audio does not move until that socket is open. The same recording is saved as it is sent. Stopping the session still finishes the work: it flushes, then writes the agent files.
As an SDK, a session is five calls. Create it, wait until it is ready, pipe the audio in, listen while it is live, and end it.
Congrats on the launch, Williams! The "one file per named agent" idea is neat. We run a job search platform and keep thinking about interviews: a candidate_notes agent and an interviewer_summary agent on the same call would save HR a lot of rewriting. Does it handle two speakers switching languages (e.g. Armenian and English) within one session?
the end session step doing the final flush is a detail i'm glad u spelled out
partial transcripts are useful live but i'd want the final files clearly marked complete before another agent acts on them
About Resum on Product Hunt
“API and SDK for live conversations”
Resum launched on Product Hunt on November 4th, 2026 and earned 65 upvotes and 3 comments, placing #29 on the daily leaderboard. Enterprise API and SDK that connects a live conversation to named AI agents. A transcript while the session is open, then one file per agent when it ends.
Resum was featured in API (98.8k followers), Developer Tools (522.5k followers) and Artificial Intelligence (482.9k followers) on Product Hunt. Together, these topics include over 239.8k products, making this a competitive space to launch in.
Who hunted Resum?
Resum was hunted by Williams Isaac. 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.
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Williams Isaac
Hi, I’m Williams. I built Resum.
Resum connects a live conversation to the AI agents you name.
You open a session and wait until the speech socket is ready. Then you send audio from a microphone, a file, or a live stream. While people are still talking, finalized turns append to a transcript. When the session ends, each named agent gets one file. notes and summary have a fixed shape. Any other name you pass is plain text.
Audio does not move until that socket is open. The same recording is saved as it is sent. Stopping the session still finishes the work: it flushes, then writes the agent files.
As an SDK, a session is five calls. Create it, wait until it is ready, pipe the audio in, listen while it is live, and end it.
https://resum.viroke.com
If you want to run it with your own conversations, write to williams@viroke.com. I’m here for questions about the flow.