GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Harbor is a rapid deployment tool for AI stacks using Docker and docker-compose.
Good fit when
- - When you need to deploy an AI stack quickly with minimal configuration
- - For environments where hundreds of services need streamlined orchestration without setting up each manually
Avoid when
- - If detailed customization at a service level is required beyond what the default setup offers
- - In cases where the project does not align well with the pre-wired services and configurations harbor provides by default
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No MCP manifest
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install harborSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A comprehensive suite to deploy an AI stack quickly using containers and orchestration tools like Docker and docker-compose.
Capability facts
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Sep 20, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Sep 20, 2026
- Languages
- python, javascript
Source: github.language+package.json+pyproject.toml · Sep 20, 2026
Categories
Tags
README
Eject from Harbor into a standalone Docker Compose setup Convenience tools for docker setup harbor logs llamacpp harbor exec llamacpp ./scripts/llama bench help harbor shell vllm
For agents
This page has a .md twin and JSON over the API.