dockerAI apps
Docker Agent
docker-agent
Docker CLI plugin to define, run, and share AI agents with YAML, tools, and multi-agent orchestration.
- Docker supported
- Needs API key
- Popularity
- 4.3k Stars
- GitHub stars
- Recent activity
- 10/10/2026
- Updated in the last 30 days
- License
- APACHE-2.0
- Permissive
Why it matters
We look beyond stars: what problem it solves, whether it creates real utility, and what makes its approach worth noticing.
Problem
The packaging, distribution, and cross-environment execution of AI agent applications remain fragmented without standardized container and configuration norms.
Practical value
Integrated as a Docker plugin, it supports YAML declarations, multi-agent collaboration, the MCP protocol, and OCI image distribution for practical engineering deployment.
Innovation / differentiation
Directly combines traditional container ecosystem OCI image distribution mechanisms with large language model agents and the MCP tool ecosystem.
Leverage potential
Enables direct reuse of existing Docker CLI tools and OCI registry infrastructure for agent distribution.
Why now
Arrives at a critical period when AI agent development transitions from code scripts to engineering distribution and multi-tool coordination.
Community activity
In the last 90 days there were 146 new issues and 802 pull requests; the bounded issue/PR samples include 19 issue authors and 11 PR contributors, with at least 44 releases.
Maintainer responsiveness
The 100-issue window sample had a 90% close rate, and the 99-pull-request sample had a 95% merge rate. Maintainer-response observations covered 67% of that issue sample, with a 1% response rate and median first response of 10.8 hours.
Key highlights
- type: mcp
- Multi-agent architecture — Create teams of specialized agents that delegate tasks automatically
- Rich tool ecosystem — Built-in tools + any MCP server (local, remote, or Docker-
Quick start
How it is installed, how hard it is, and where to start.
Best for
- People who prefer Docker deploys
Watch outs
- 3 inferred from materials — review under Sources below
More about it
docker-agent treats agents as first-class Docker citizens: declare models, tools, and collaboration in YAML, then run and share them via the docker agent CLI plugin. Building a working agent should feel closer to writing Compose than wiring a custom runtime.
It optimizes for environment and distribution, not a single vertical use case. Teams already living in Docker get versioned, reproducible agent configs; MCP and the tool ecosystem are useful, but the core idea is packaging agents like other Docker workloads.
Sources
Each field shows its status and source — expand to review.
8 · Expand
Sources
Each field shows its status and source — expand to review.
Latest release
Verifiedv1.150.0
Source: GitHub API · latest_release=v1.150.0 · 10/10/2026
License
VerifiedApache-2.0
Source: GitHub API · license.spdx_id=Apache-2.0 · 10/10/2026
logo url
VerifiedNone
Source: admin_cms · cms editor · 8/28/2026
needs api key
Inferred from materialsYes
Source: Project README · matched api key keywords · 8/13/2026
One-liner
Verified{"en":"Docker CLI plugin to define, run, and share AI agents with YAML, tools, and multi-agent orchestration.","zh":"Docker Agent 是一个将 AI Agent 构建与运行标准化、容器化的工具。它通过声明式 YAML 配置和对 MCP 协议的原生支持，解决了 AI Agent 开发中环境配置复杂、工具集成困难及分发不便的问题。"}
Source: heuristic_batch_publish · batch-publish-tools heuristic write · 8/24/2026
Category hint
Inferred from materialsai-apps
Source: Project README · hint=ai-apps · 8/13/2026
screenshot url
VerifiedNone
Source: admin_cms · cms editor · 8/28/2026
supports docker
VerifiedYes
Source: Repository file · dockerfile=true; compose=true · 10/10/2026
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