Moxt

What is Moxt?

Moxt is an agent-native workspace built from the ground up for human-AI collaboration. Every team member gets a personal AI assistant called momo, which retains persistent memory and improves over time. Beyond personal assistants, teams can deploy specialized AI Teammates that work autonomously across functions — research, writing, operations, and more. With shared memory, Skills, Rules, and deep integrations, Moxt acts as a full operating system for your agents, letting small teams operate at the scale of much larger ones.

Key Features

• Personal AI Teammate (momo)

  Every user gets momo — a persistent AI assistant that remembers your work style, context, and preferences, getting sharper the more you use it.

• Team-Wide AI Workforce

  Deploy specialized AI Teammates across roles — researcher, operator, strategist — that work autonomously and share context across your entire organization.

• Shared Memory & Compounding Learning

  All agents share a unified memory layer. Fix one agent's mistake and every agent on the team learns from it — context compounds over time.

• Skills & Rules Engine

  Define agent behavior through reusable Skills and Rules — customize for individuals or standardize across the team to ensure consistent outputs.

• Automation & Integrations

  Schedule recurring tasks, trigger workflows via Webhooks, connect GitHub in one click, and bring AI Teammates directly into Slack as independent bots.

• AI-Native Document Workspace

  Supports Markdown, CSV, HTML, and other AI-readable formats. All agent outputs are saved as files directly in the workspace, with version history, comments, and @mentions.

Use Cases

• Autonomous Business Operations : Agents handle recurring tasks like morning briefings, overnight metric scans, and exec report drafts — before the team even sits down.
• Sales & Client Onboarding : When a deal closes, agents auto-generate welcome decks, onboarding trackers, and kick-off agendas without any manual setup.
• Growth & Data Analysis : Agents diagnose performance issues, build dashboards, and draft experiment proposals — so teams walk into meetings with a plan already in hand.
• Content & Document Production : From investor updates to board decks, agents pull live data, assemble structured documents, and format final outputs ready for review.
• Competitive Intelligence : Agents run continuous monitoring of competitor pages, pricing changes, and media mentions — surfacing insights without human intervention.

FAQs