Melaya

Melaya is a visual platform for building, deploying, and governing AI agents that perform real work across software, data, APIs, and mobile applications.

It can be used as an agentic alternative to workflow automation tools such as n8n, Zapier, and Make. Instead of building only fixed trigger-action automations, users can create adaptive AI pipelines from models, prompts, scoped tools, files, RAG knowledge stores, memory, schedules, webhooks, API triggers, reusable subagents, and human approval steps.

Melaya supports individual agents and multi-agent crews for research, operations, reporting, support, engineering, outreach, content, data processing, and internal business workflows. Pipelines are assembled in a visual graph and every model call, tool action, result, approval, and failure can be inspected and replayed.

The platform includes more than 1,500 scoped tools and over 110 reusable subagents. Users can work with cloud providers such as OpenAI, Anthropic, and Gemini, or connect local models through Ollama and LM Studio. Tools are explicitly granted per agent, reducing the risk of an agent accessing capabilities it does not need.

Human-in-the-loop controls can pause sensitive actions such as sending messages, publishing content, changing code, or making payments. Team workspaces add shared projects, connectors, permissions, templates, and execution history.

Melaya Device Control is the platform’s flagship capability. It gives AI agents controlled access to authorized Android applications, including apps with no public API or native integration. An agent can read the visible screen, open apps, tap, type, scroll, swipe, and navigate one verified action at a time. Access is granted per app, remains revocable, and write actions can require human approval before execution.

Device Control can be used for mobile application testing, authenticated app routines, cross-app operations, social media workflows, support processes, and repetitive administrative work.

Melaya is available as a hosted SaaS platform, with local execution options for workflows that need to keep models, credentials, or data inside the user’s own infrastructure.