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Moxt is an AI-native team-building platform designed for long-term collaboration, enabling users to assemble automated work teams composed of multiple specialized AI agents to handle complex tasks spanning days. It offers a unified workspace that integrates workflow orchestration, AI agent coordination, lightweight internal applications (MiniApps), persistent context storage, and visual task boards, allowing humans and AI agents to jointly use the same set of tools and data infrastructure.

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What is Moxt?

Moxt provides an integrated environment for building, orchestrating, and running teams composed of multiple specialized AI agents, covering long-cycle tasks from content production and product delivery to bug fixes. It supports human–AI collaboration on internal tools such as KOL tracking spreadsheets and task boards, while all agents maintain contextual coherence based on real databases and structured files (Markdown/HTML/CSV/JSON). Additionally, the Agent Board enables real-time monitoring of progress at each stage, allowing for timely intervention and adjustments.

Key features

  • Workflow decomposition: Complex tasks are divided into stages and assigned to different specialized agents with tailored optimizations—such as Researcher → DraftWriter → Reviewer → Publisher—enabling the entire process to run unattended for several days.

  • Agent-native workspaces: Each AI agent continuously receives context via Markdown, HTML, CSV, and structured configuration files like agent-config.json, ensuring consistent and traceable behavior across sessions.

Use cases and audience

Teams requiring long-running, multi-stage collaborative AI workflows—including content operations, product development, growth teams, and customer support teams.

  • Build long-cycle workflows involving cross-disciplinary AI agents, such as a content production pipeline (topic selection → writing → review → publishing).
  • Automated product delivery workflow, covering PRD drafting, AI review, development collaboration, and launch acceptance
  • A multi-agent collaborative closed-loop for bug troubleshooting and fixing, from issue reproduction and patch development to validation and closure
Input

Structured files (Markdown, HTML, CSV, JSON), user instructions, and real-time feedback data.

Output

Phased deliverables (such as PRD drafts, initial content drafts, or bug-fix patches), end-to-end status dashboards (Agent Board), and traceable execution logs.

Frequently asked questions

Does Moxt support integration with users’ own AI agents?

Not supported; currently, this is the ‘Bring Your Own Agent’ feature, with a status of ‘Coming Soon’.

Are seats on Moxt subject to charges?

No charges apply; the official statement clearly indicates “Seats are free” and “No seat caps while we're growing.”

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