by jenkinsci · Agent Tool · ★ 97
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= Docker inbound agents [IMPORTANT] ==== 🛑 This repository is archived and in read-only mode. All associated Docker images are also archived in the DockerHub. You can keep using the images but they are not maintained or updated anymore. You should start using custom images built on top of link:https://hub.docker.com/repository/docker/jenkins/inbound-agent[jenkins/inbound-agent]. ==== Details in link:https://github.com/jenkinsci/docker-inbound-agents/issues/51[]. == README before archiving This repository is a collection of Docker images which combine the basics to run a Jenkins inbound agent with a standard Docker image. This makes it easy to use upstream images from as Kubernetes pod templates, Azure Container Instances, AWS ECS/Fargate, or within other Jenkins agent systems which rely on using an inbound agent.
| Stars | 97 |
| Forks | 60 |
| Language | Dockerfile |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 45.7817969177778/100 |
| Last Updated | 2026-05-07 |
| Created | 2019-03-10 |
| Platforms | docker |
| Est. Tokens | ~7k |
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docker-inbound-agents is Jenkins docker inbound agents with tools built in.. It is categorized as a Agent Tool with 97 GitHub stars.
docker-inbound-agents is primarily written in Dockerfile. It covers topics such as docker.
You can find installation instructions and usage details in the docker-inbound-agents GitHub repository at github.com/jenkinsci/docker-inbound-agents. The project has 97 stars and 60 forks, indicating an active community.
docker-inbound-agents is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to docker-inbound-agents on Agent Skills Hub include azure-ai-travel-agents, palico-ai, mcp-server-code-execution-mode. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.