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OpenLivery

Open-source multi-tenant WhatsApp AI agents for agencies

Open Source
GitHub
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Hunted byAndres SarrazolaAndres Sarrazola

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.

Top comment

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?

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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.

OpenLivery was featured in Open Source (68.8k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 43.9k products, making this a competitive space to launch in.

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.

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