Moxt positions itself as the place where a company stops being a group of people who use software and starts being a team of humans and agents working from one shared context. The product bundles four primitives: Workflow, which splits complex jobs across tuned specialist agents so a pipeline can run unattended for days; Agent Board, a Kanban-style view of what each agent has finished, is currently running, and is waiting on you to unblock; MiniApp, a builder for small internal tools backed by real databases that both humans and agents can operate; and an Agent-Native Workspace where Markdown, HTML, CSV and structured files keep agents grounded across sessions.
Rather than presenting a blank chat box, Moxt ships pre-orchestrated starting points. There are ready-made AI teammate roles such as a Social Media Manager, Cold Outreach Rep, Contract Reviewer and Competitor Watcher, plus templates for content production pipelines, product delivery, bug triage and fix, KOL outreach and startup Kanban boards. You can also pick a model per task from a catalog spanning Claude, GPT, Gemini, Qwen, GLM, Kimi, DeepSeek and image models, with the provider's public rates displayed alongside the credit cost.
The pricing philosophy is deliberately seat-free. Workspace access, member invitations, features and even the number of AI teammates are unlimited and free; the company says people cost little to host while AI work does not, so billing is purely consumption-based on AI credits. You buy credit packs (starting around $20 for 10,000 credits, with $1 equal to 100 credits) that never expire, and agent sandbox runtime is currently offered at no charge. This makes Moxt attractive for small teams that expect heavy agent usage but want to avoid per-seat licenses for occasional collaborators.
