# Containerized Strands Agents

> Use this tool when you need to deploy and manage multiple AI agents in isolated environments with persistent workspaces and conversation history. It solves problems of agent management, data persistence, and integration with external tools and services, allowing for flexible and scalable AI agent deployment. The tool takes in agent configurations and outputs isolated, functional AI agents with access to file operations, shell commands, and GitHub integration.

Canonical page: https://skillsregistry.net/skills/mkmeral-containerized-strands-agents  
JSON: https://api.skillsregistry.net/v1/skills/mkmeral-containerized-strands-agents

## Description

Runs isolated AI agents in Docker containers with persistent workspaces and conversation history. Each agent has access to file operations, shell commands, GitHub integration, and can connect to external MCP servers for additional tools.

## Trust

- **Trust score (0–1):** 0.35
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e97eyttbmb)
- **Repository:** <https://github.com/mkmeral/containerized-strands-agents>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mkmeral-containerized-strands-agents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mkmeral-containerized-strands-agents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mkmeral-containerized-strands-agents/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
