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Dock

trydock.ai

Multiplayer workspace where AI agents work together as a team, coordinating autonomously without requiring constant human intervention.

Overview

Dock is a multiplayer workspace designed for teams that want to run multiple AI agents as coordinated colleagues rather than isolated chat windows. Instead of manually copy-pasting context between separate agents, Dock's agents communicate directly with each other, hand off work autonomously, and pursue shared goals—so you steer the team rather than babysitting each agent individually.

The platform supports any AI model (Claude, OpenAI, Kimi, GLM) and gives each agent persistent memory, schedules, and access to shared tools and data. Humans and AI agents work in the same workspace on the same record, with everything logged as it happens. Use cases include sales outreach, executive assistance, content creation, SEO, product development, and operations management.

Key features

  • Multi-agent orchestration and coordination
  • Agent-to-agent messaging and handoffs
  • Persistent memory per agent
  • Support for multiple AI models (Claude, OpenAI, Kimi, GLM)
  • Shared workspace for humans and agents
  • Real-time activity logging and audit trail
  • Cloud and local execution options
  • Integration with external tools and data sources
  • Proactive agent behavior without constant prompting
Pros
  • Agents coordinate autonomously, reducing manual context-switching
  • Persistent memory allows agents to improve over time
  • Unified workspace keeps all work visible and auditable
  • Supports multiple leading AI models with bring-your-own-key options
  • Agents work overnight and keep working after you close the laptop
  • No terminal required; agents run in minutes
Cons
  • Still in early access (waitlist-based)
  • Limited public documentation on advanced features
  • Pricing details not yet publicly available
  • Requires integration setup for custom tools and data sources
Use this if
You run multiple AI agents and want them to coordinate autonomously; you need persistent agent memory and audit trails; you want to reduce manual context-switching between tools; you're building workflows that span sales, content, operations, or product development.
Skip this if
You only need a single AI chat interface; you require on-premise-only deployment; you need a fully mature, production-hardened system with extensive public documentation.

Best for

Small teams wanting to scale output without hiringSales and outreach automationExecutive assistance and meeting prepContent creation and SEO workflowsProduct development and operationsAny team running multiple AI agents that need to coordinate
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