Runwork
For AI Agents

Your agent joins
your team.

Connect any AI agent to your team's work cloud: the same skills your team writes, the same data they query, the same integrations and channels they use. One workspace. Every AI tool. A teammate's seat, not a guest pass.

Supported agents

runwork setup auto-detects and configures these agents.

ChatGPT ChatGPT Light support · MCP-only
Codex Codex Full support
Claude Desktop Claude Desktop Full support
Claude Code Claude Code Full support
Cursor Cursor Full support
Windsurf Windsurf Full support
Copilot (VSCode) Copilot (VSCode) Full support
Copilot CLI Copilot CLI Full support
Gemini CLI Gemini CLI Full support
Antigravity Antigravity Full support

Full support means runwork setup wires up the desktop app, CLI, local agent config, skills, and MCP automatically. Light support connects over MCP only. Any MCP-compatible tool can also connect manually using your workspace endpoint URL and API key.

What's in your work cloud

Everything your agent gets access to the moment it connects.

3,200+
integrations
callable as tools
8,000+
workflow recipes
importable from n8n
10
AI agents
auto-configured
team-built skills
+ skills.sh + MCP Registry

Plus your team's own entities, workflows, agents, components, channels, and apps. The agent sees the same surface area your humans do.

How agents connect

MCP (Model Context Protocol)

Every workspace exposes an MCP server. Your AI agent connects once and gets tools for everything: entities, workflows, schedules, integrations, files, channels, skills.

Streamable HTTP and SSE transports. Standard protocol. Works with any MCP-compatible tool.

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Runwork CLI

Full terminal interface to the workspace. Every command supports --json for machine-readable output that AI agents parse natively.

runwork agents, runwork entities, runwork workflows, runwork integrations, runwork files, and more.

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Skills (SKILL.md)

Every app auto-generates a skill file with capability descriptions, API references, and domain knowledge. Your agent reads it and understands what's available.

YAML frontmatter + markdown. Portable to any AI tool. Downloaded from dashboard or synced via CLI.

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Knowledge files (CLAUDE.md, AGENTS.md)

When any AI agent creates or opens a Runwork app (via runwork init or runwork dev), the platform generates knowledge files on the fly. This works for any agent: Claude Cowork on the desktop creating a workflow, Claude Code building a full app, or Cursor adding an endpoint. The agent understands Runwork from the first prompt.

Created automatically. Always up to date. Works with Claude Cowork, Claude Code, Cursor, Codex, and any agent that reads project files.

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Community sync (skills.sh + MCP Registry)

Pull skills and MCP servers from public sources directly into your workspace. Your agent can install community-built tools from skills.sh + MCP Registry the same way it loads team-authored ones.

Discoverable from the marketplace, installable via CLI or dashboard, isolated per workspace.

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What your agent can do

Three modes once connected. Your agent talks with the team, operates the workspace, and builds new things.

Know

Work with full context of your business.

  • Full workspace context

    Your agent sees your data, connected integrations, and team skills from the first prompt, with no pasting background into every chat.

  • Tap team skills

    Use skills your teammates have built. What one person teaches their agent, every agent on the team can do.

  • Hand off conversations

    Pass an AI conversation to a teammate; they resume it natively in their own agent, with the full thread and context intact.

  • Persistent memory

    Conversations, prior apps you built together, and team context carry across sessions. Your agent picks up where it left off.

Do

Operate the workspace through the MCP server.

  • Query and write entities

    Read and update your team's data model: customers, projects, leads, vendors, anything you've defined.

  • Call 3,200+ integrations

    HubSpot, Stripe, Slack, Google, Notion, Linear. Every connected integration becomes a tool the agent can call directly.

  • Trigger workflows & schedules

    Run multi-step automations with parameters or kick off scheduled jobs on demand.

  • Files & storage

    Upload reports, download data, manage workspace buckets the same way humans do.

  • Call public endpoints

    Hit any HTTP endpoint your team has exposed from a workspace app: webhooks, APIs, internal tools.

Build

Create new apps, skills, and agents from conversation.

  • Vibe-code full apps

    Spin up a full-stack app from a prompt: runwork initrunwork devrunwork deploy. Frontend, backend, schema, integrations.

  • Author skills & agents

    Write team-shared skills, register MCP servers, deploy task agents. Anything you build syncs to every teammate's tools.

  • Drop in components

    Reusable UI building blocks for the apps your agent assembles. No styling guesswork.

  • Import 8,000+ workflow recipes

    Convert any n8n workflow into a Runwork workflow in one command. Your agent picks the right recipe and wires it up.

  • Delegate to agent sandboxes

    Hand off heavy or long-running work to isolated compute environments with full code execution.

Connect in 60 seconds

Terminal
# Install the CLI
$ curl -fsSL https://runwork.ai/install.sh | sh
# Authenticate against your team workspace
$ runwork login
# Connect every local AI agent to the team work cloud
$ runwork setup
Detected agents:
✓ Claude Code
✓ Claude Desktop
✓ Cursor
✓ Codex
Syncing from team workspace…
✓ 23 team skills installed
✓ Workspace MCP server wired up
✓ 12 agents available
✓ Channels accessible: #sales · #engineering · #customer-success
✓ Your agents joined the team work cloud.

That's it. Every connected agent now sees the same skills, data, integrations, and channels your team uses, and stays in sync as the workspace evolves.

Setting up Runwork for non-technical teammates? Send them to the Desktop app instead. Same `runwork setup`, guided UI.

Connect your agents today.

One workspace. Every AI tool your team uses.

Get started