Lissy93/portainer-templates — 🚢 500+ 1-click Portainer app templates

Description and use

**Summary**
Lissy93/portainer-templates is an open‑source collection of +500 one‑click Portainer app templates that let you spin up AI‑enabled services (RAG pipelines, agents, model servers, etc.) without building a stack from scratch. With over 2.8 k stars, active maintenance (last commit 2026‑05‑10) and a Python‑centric codebase, it’s ready for pilot projects and can be evaluated quickly via its exposed API/SDK/CLI metadata.

**Value**
The repo supplies pre‑configured Docker‑Compose/Portainer stacks that embed popular LLMs, vector stores, and tooling, dramatically cutting the time to prototype AI features or evaluate new model ecosystems. By handling networking, environment variables, and persistent volumes out of the box, teams can focus on business logic rather than infrastructure plumbing.

**Practical adoption path**

1. **Explore** the template catalog in the Portainer UI or clone the repo to review the templates/ directory.
2. **Select** a template that matches the desired use case (e.g., “RAG‑with‑Chroma”, “OpenAI‑agent”).
3. **Deploy** with a single click in Portainer or run the provided docker-compose.yml locally for testing.
4. **Integrate** via the generated API endpoints, SDK wrappers, or CLI commands, adjusting only the minimal configuration (API keys, data sources).
5. **Iterate** by forking the repo to add custom components or extend existing templates.

**Production readiness**
The project shows high production readiness: recent commits, a vibrant community (2.8 k stars, 300+ forks), clear documentation, and a Python‑first implementation that aligns with most AI toolchains. While the license and security posture still need a final audit, the strong activity signals, adoption by other OSS projects, and ready‑to‑run Docker artifacts make it suitable for a serious pilot or even production deployment after standard hardening.

Problem

Lissy93/portainer-templates helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

🚢 500+ 1-click Portainer app templates

Source