AUTOMATION

Deploy AI Agents to Sandboxes with AnyFrame

Point Claude or Codex at any repo and get a fresh sandbox running in seconds with cached images and MCP connectors

Updated: 5/28/2026
Difficulty
medium
Time
5m
Use Case
Rapidly sandbox and test AI agents against arbitrary codebases with tool integrations
Popularity
0 views

About this automation

AnyFrame enables defining an agent once with repo, install commands, skills, and MCP connectors, then baking a cached image for instant sandbox boot. Chat with the agent via web UI or Python SDK on the same channel, and toggle MCP connectors (Linear, Sentry, etc.) per-agent session.

How to implement

1

Define agent configuration: repo URL, install command, skills, and desired MCP connectors

2

AnyFrame bakes a cached Docker image from the definition

3

Boot a sandbox session from the cached image

4

Chat with the agent via web interface or Python SDK

5

Toggle MCP connectors (Linear, Sentry, etc.) per-agent as needed

6

Iterate and redeploy with fresh sandbox instances