Melaya is a platform for building and running AI agents across business tools, browsers and Android apps, with six connected products:
Shared USPs
The future of software will be running AI agents, without a provider lock-in and using open-weight models. We are building the toolset to enable humans and enterprises to automate their business.
How it fits together
Every Melaya product plugs into the same core, so a workflow you build in Melaya Agents can trigger a browser action, drive an Android app, run a marketing task, or answer a question in the Assistant, all from one place. The Melaya runner executes on your own machine or your own cloud, which keeps your data and credentials with you and lets agents reach private systems that public tools cannot.
Built for trust and control
Agentic automation only works if you can trust it. Melaya wraps every run in guardrails: configurable human approvals before any consequential action, scoped and revocable access per tool and per site, live observation with instant manual takeover, and a complete, replayable audit trail of every tool call. Built in evaluations let you measure and improve agent quality over time, so your automations stay reliable as they scale.
No provider lock-in
Melaya is model agnostic by design. Bring your own API keys or run open-weight models locally through 28 supported providers, and switch at any time without rewriting your work. You are never tied to a single vendor, a single cloud, or a single price.
Who it is for
Founders and small teams use Melaya to do the work of a much larger team. Marketers use it to get found on Google and on AI search, build backlinks, and run ads from one copilot. Developers hand their CLI, browser, and phone to agents for QA and testing. Operations teams automate repetitive web and mobile workflows that never had an API. Enterprises adopt it for governed, auditable automation across their existing stack.

Hey Fazier folks, maker here. Melaya started because I kept writing the same glue code over and over. Every time I wanted an AI agent to do something useful, like triage my inbox, post to a few socials or pull numbers from a sheet, I ended up with a pile of scripts, API keys in random .env files and no idea what the agent had actually done while I wasn't looking. So I built the thing I wanted: a visual builder where you drop agents into a pipeline, connect the tools they're allowed to use, and watch them work live. A few things mattered a lot to me along the way: Agents can run on your own machine through a small runner, so your credentials and files stay with you. Anything that sends, posts or pays can be set to wait for your approval first. I don't trust an agent with my outbox on day one, and I don't think you should either. You can see every step, every tool call and what it cost, so when something goes wrong you know why. Part of my background is in trading software, where the UI has to keep up with a firehose of updates without freezing. I borrowed a lot of those tricks for the live canvas, which is why you can watch a dozen agents stream at once without the page choking. It's still early and there are rough edges. I read every comment, so tell me what breaks, what's confusing, or what you'd want an agent to take off your plate first. That last one especially, it shapes what I build next. Thanks for checking it out!

Hey Fazier folks, maker here. Melaya started because I kept writing the same glue code over and over. Every time I wanted an AI agent to do something useful, like triage my inbox, post to a few socials or pull numbers from a sheet, I ended up with a pile of scripts, API keys in random .env files and no idea what the agent had actually done while I wasn't looking. So I built the thing I wanted: a visual builder where you drop agents into a pipeline, connect the tools they're allowed to use, and watch them work live. A few things mattered a lot to me along the way: Agents can run on your own machine through a small runner, so your credentials and files stay with you. Anything that sends, posts or pays can be set to wait for your approval first. I don't trust an agent with my outbox on day one, and I don't think you should either. You can see every step, every tool call and what it cost, so when something goes wrong you know why. Part of my background is in trading software, where the UI has to keep up with a firehose of updates without freezing. I borrowed a lot of those tricks for the live canvas, which is why you can watch a dozen agents stream at once without the page choking. It's still early and there are rough edges. I read every comment, so tell me what breaks, what's confusing, or what you'd want an agent to take off your plate first. That last one especially, it shapes what I build next. Thanks for checking it out!
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