Build one customer-facing AI agent and launch it everywhere
Build one customer-facing AI agent and launch it across SMS, iMessage, WhatsApp, Slack, Telegram, and email. Give it your knowledge, memory, voice, tools, and boundaries so it can answer questions, use business systems, complete work, and hand off when human judgment is needed. Keiki runs the shared infrastructure behind every channel and gives you one place to inspect conversations, approve sensitive actions, and improve the agent over time.
Hey Product Hunt! Nizzy here, one of the makers of Keiki.
When we started Orchid, we wanted to build an AI assistant that felt as easy to use as texting another person. The model could produce a useful answer early. Turning that answer into a dependable product took almost a year.
We had to build messaging infrastructure, conversation management, durable memory, browser and tool execution, background jobs, observability, failure recovery, billing, and human controls.
At some point, we realized we were building two products: Orchid, and the platform required to make Orchid possible.
Keiki is that platform, now available to other teams.
The idea is simple: the agent is the product; channels are distribution.
With Keiki, you define one customer-facing agent: what it knows, how it behaves, what it remembers, which tools it can use, and where its boundaries are. Then you launch it across iMessage and SMS, WhatsApp, Slack, Telegram, and email.
The same identity, knowledge, memory, tools, and safeguards go everywhere.
A Keiki agent can do more than answer questions. It can search connected knowledge, browse the web, call business tools, complete workflows, request approval before sensitive actions, and hand a conversation to a person when judgment is needed.
Every conversation and agent run is inspectable, so you can understand what happened and improve the agent over time.
You can build visually or define the same agent in code. Keiki can run it for you, while teams that need more control can run it on their own infrastructure.
We built the platform we wish we had a year ago: the shortest path from an agent idea to someone your customers can actually reach.
We’d love your feedback:
• What customer conversation would you give an agent first?
• Which channel would it need to live in?
• What action would make it genuinely useful, not just another chatbot?
We’ll be here all day, and hard questions are welcome.
About Keiki on Product Hunt
“Build one customer-facing AI agent and launch it everywhere”
Keiki launched on Product Hunt on September 1st, 2026 and earned 105 upvotes and 8 comments, placing #15 on the daily leaderboard. Build one customer-facing AI agent and launch it across SMS, iMessage, WhatsApp, Slack, Telegram, and email. Give it your knowledge, memory, voice, tools, and boundaries so it can answer questions, use business systems, complete work, and hand off when human judgment is needed. Keiki runs the shared infrastructure behind every channel and gives you one place to inspect conversations, approve sensitive actions, and improve the agent over time.
On the analytics side, Keiki competes within Messaging, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Keiki performed against the three products that launched closest to it on the same day.
Who hunted Keiki?
Keiki was hunted by Nizar Abi Zaher. 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 Keiki including community comment highlights and product details, visit the product overview.
Nizar Abi Zaher