Aquesta és una versió anterior. La versió actual és la 0.5.17. Harbor 0.5.17 · Data de publicació:
Fitxers d’instal·lació 0.5.0
| Arquitectura | Tipus | Àmbit | Mida del fitxer | Baixa | SHA256 |
|---|---|---|---|---|---|
| 64 bits | EXE (NSIS) | Usuari actual | — | github.com | VirusTotal |
| 64 bits | MSI | Tots els usuaris | — | github.com | VirusTotal |
L’enllaç i l’SHA256 provenen del manifest comunitari del Gestor de paquets del Windows. Convé comparar el hash del fitxer baixat abans d’executar-lo.
Notes de la versió
TL;DR
Four new backends - DMR (Docker Model Runner), MLX, oMLX, and Daytona sandbox - with cross-service integrations rolled out to 26 services each. llamacpp replaces Ollama as the default backend (harbor defaults add ollama to restore the old behavior). The Tauri app now handles the entire install workflow in-app. New CLI features: tab completion, port conflict detection, smart pull routing, custom volume mounts, fuzzy service suggestions, and harbor skills for AI agent discovery.
llamacpp default backend (breaking change)
llamacpp is now the default backend, replacing Ollama. Running harbor up with no arguments starts llamacpp instead of Ollama. Existing users who rely on harbor up launching Ollama should explicitly run harbor up ollama or set their default via harbor defaults add ollama. Cross-service integrations for llamacpp have been rolled out to 38 services.
Agent Skills
New harbor skills command exposes agent-facing CLI documentation, letting AI coding agents discover and use Harbor commands without manual prompting.
harbor skills # list available skills
harbor skills get <name> # show a skill's content
In-App Install
The Tauri app now ships a full guided setup flow — Docker detection, dependency installation, platform-specific package management, and CLI bootstrapping all happen inside the app. Covers macOS, WSL, Fedora, openSUSE, and minimal environments with cancel-between-steps, error recovery, and disk space checks.
DMR (Docker Model Runner)
Run models through Docker Desktop's built-in Model Runner with OpenAI-compatible API, auto-bootstrapped on harbor up.
harbor up dmr
MLX
Apple Silicon native inference via mlx-lm, with auto-bootstrap and host component setup on first run.
harbor up mlx
oMLX
OpenAI-compatible MLX inference server for Apple Silicon.
harbor up omlx
Daytona
Self-hosted sandbox environment service for AI agent workloads.
harbor up daytona
Misc
- Tab completion for bash, zsh, and fish shells.
- Port conflict pre-detection warns before harbor up fails.
- Smart pull routing automatically directs model downloads to the right backend.
- Custom volume mounts via harbor volumes CLI.
- Fuzzy service name suggestions when you mistype a service handle.
- MiniMax default model upgraded to M3.
- Comprehensive integration test suites added for CLI, config, and service lifecycle.
Full Changelog: https://github.com/av/harbor/compare/v0.4.19...v0.5.0
