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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
OpenLivery
Open-source multi-tenant WhatsApp AI agents for agencies
Run WhatsApp AI agents for multiple agency clients from one self-hosted installation. OpenLivery is MIT licensed, with separate client workspaces, knowledge bases, conversations, branded portals and human handoff. Connect your own model providers and extend agents with HTTP tools or MCP servers. Full frontend, backend and Docker deployment included.
Hi, I’m Andrés, the developer of OpenLivery. The project focuses on an agency workflow: one WhatsApp agent workspace per client, managed from one installation, with branded client portals.
The MIT-licensed repository includes the frontend, backend, migrations and Docker deployment: https://github.com/sarrazola/ope...
You can connect your own AI providers, add client knowledge, extend agents with HTTP tools or MCP servers, and hand conversations over to a person. Self-hosting requires your own infrastructure and provider accounts.
I’d love feedback from agencies and self-hosters: what is the biggest friction point when onboarding another client?
About OpenLivery on Product Hunt
“Open-source multi-tenant WhatsApp AI agents for agencies”
OpenLivery was submitted on Product Hunt and earned 8 upvotes and 1 comments, placing #74 on the daily leaderboard. Run WhatsApp AI agents for multiple agency clients from one self-hosted installation. OpenLivery is MIT licensed, with separate client workspaces, knowledge bases, conversations, branded portals and human handoff. Connect your own model providers and extend agents with HTTP tools or MCP servers. Full frontend, backend and Docker deployment included.
On the analytics side, OpenLivery competes within Open Source and GitHub — topics that collectively have 110.2k followers on Product Hunt. The dashboard above tracks how OpenLivery performed against the three products that launched closest to it on the same day.
Who hunted OpenLivery?
OpenLivery was hunted by Andres Sarrazola. 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.
For a complete overview of OpenLivery including community comment highlights and product details, visit the product overview.
Andres Sarrazola