docker/docker-agent

Score7.8

Popularity75.0

Risknone

TierGold

Score breakdown

Usefulness8.0

Novelty8.0

Momentum7.0

Maturity7.7

Open-source/build8.4

Evidence7.2

Workflow potential9.3

Setup ease8.8

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for platform and dev teams that want to define, run, version-control, and share AI agents as declarative YAML — with Docker-native distribution, multi-provider model support, and any MCP server as a tool — without writing Python orchestration glue or building a custom OCI pipeline.

Who should use it

platform teams that want declarative YAML agents instead of code-first (LangChain / AutoGen) or low-code UI (Dify / n8n)Docker-native teams that want to ship agents via OCI registries with the same supply-chain guarantees as containersdevelopers who want the `docker agent` CLI plugin (pre-installed in Docker Desktop 4.63+) without a Python installmulti-provider teams that need OpenAI / Anthropic / Gemini / AWS Bedrock / Mistral / xAI / Docker Model Runner (local) under one configteams that need pluggable RAG (BM25, embeddings, hybrid, rerank) wired into the agent runtime, not bolted on as a separate service

Who should skip it

Skip if the source link, docs, or setup requirements do not match your workflow.

Risk explanation

3,087 stars is healthy but the project is still in the 0.x / pre-GA window — pin versions and review changelogs before production; Docker-vendor-owned: monitor Docker's roadmap in case priorities shift (Docker Desktop's commercial direction has changed before).

Evidence links

github.com

Closest alternatives / related signals

agent-runtimedeclarative-yamldockerocimcpmulti-providercli-plugindocker-desktop