AI Agents
The AI Agents page provides a centralized, organization-wide view of all AI agents detected across developer machines. This page helps security and platform teams understand which AI tools are being used, who is using them, and how widely they are deployed.

Filter chips let you scope the list by agent category:
CLI Tools: command-line AI coding assistants (for example, Claude Code, Codex)
Frameworks: local AI runtimes and inference frameworks (for example, Ollama)
Agents: general-purpose and IDE-integrated AI agents
Each chip shows the number of unique items detected in that category.
You can also search the list by agent name.
The agent table shows the following columns:
Agent: the agent name and a category badge (
CLI Tool,Agent, orFramework)Vendor: the publisher or origin (for example, Anthropic, OpenAI, Google, Cursor, OpenSource)
Devices: the number of devices where the agent is installed
Supported AI Agents
StepSecurity Dev Machine Guard automatically detects the following AI agents and tools installed on developer machines.
IDE & Desktop Apps
Visual Studio Code
Microsoft
Cursor
Cursor
Windsurf
Codeium
Antigravity
Zed
Zed
Claude Desktop
Anthropic
Microsoft Copilot
Microsoft
AI CLI Tools
Claude Code
Anthropic
Codex
OpenAI
Gemini CLI
Amazon Q / Kiro CLI
Amazon
GitHub Copilot CLI
Microsoft
Microsoft AI Shell
Microsoft
Aider
Open Source
General-Purpose AI Agents
OpenClaw
Open Source
ClawdBot
Open Source
MoltBot
Open Source
MoldBot
Open Source
GPT-Engineer
Open Source
Claude Cowork
Anthropic
Note: Claude Cowork is detected as a mode within Claude Desktop (v0.7.0+).
AI Frameworks & Runtimes
Ollama
Open Source
LocalAI
Open Source
LM Studio
LM Studio
Text Generation WebUI
Open Source
Expanding an Agent
Each agent row can be expanded to view device-level details.
When expanded, you can see:
Device ID – The unique identifier of the developer machine
Agent Version – The installed version on that device
This allows you to:
Identify which machines are running a specific AI agent
Compare versions across devices
Detect outdated or inconsistent deployments
Investigate usage patterns
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