PegaProxAI apps
Project Pegaprox
project-pegaprox
A self-hosted multi-cluster management panel for Proxmox VE covering VM/container operations, monitoring, backups, access control, and automation; XCP-ng support remains Tech Preview.
- DevOps
- Operations
- Team management
- Security
- Monitoring / Observability
- Automation
- Web
- Windows
- macOS
- Linux
- Browser
- Self-hostable
- Runs locally
- Docker supported

- Popularity
- 1.5k Stars
- GitHub stars
- Recent activity
- 8/18/2026
- Updated in the last 30 days
- License
- AGPL-3.0
- Strong copyleft
Key highlights
- 🖥️ Unified Dashboard - Manage all your Proxmox clusters from one place
- 📊 Live Metrics - Real-time CPU, RAM, and storage monitoring via SSE
- 🔄 Live Migration - Migrate VMs between nodes with one click
Quick start
How it is installed, how hard it is, and where to start.
Where it runs
Self-hosted (your own server)
Difficulty
Medium — some setup needed
- 01For production, prefer the documented versioned Debian package or a pinned container release rather than tracking main directly.
- 02After deployment, complete admin setup and add the first Proxmox cluster with least-privilege credentials, validating read-only monitoring first.
- 03Once monitoring is stable, add migrations, backups, automation, and identity integrations incrementally; validate XCP-ng separately as Tech Preview.
Best for
- Teams that want data on their own servers
- Developers who want to try it on their machine
- People who prefer Docker deploys
Watch outs
- 5 inferred from materials — review under Sources below
More about it
PegaProx places multiple Proxmox VE clusters behind one web control plane for node and VM/container status, configuration, snapshots, backups, consoles, migrations, scheduled tasks, and alerts. It also includes team-oriented access controls such as RBAC and custom roles, API tokens, TOTP, WebAuthn, LDAP/OIDC, and audit logging, and can expose cluster metrics for Prometheus. Documented deployment paths include versioned Debian packages, Docker Compose/container images, and running from source. The README also describes XCP-ng management and ESXi migration capabilities, but the XCP-ng integration is explicitly labeled Tech Preview, so it should be evaluated separately from the more established Proxmox workflow for production use.
Sources
Each field shows its status and source — expand to review.
11 · Expand
Sources
Each field shows its status and source — expand to review.
capability tags
Verifiedmonitoring, automation, security
Source: admin_cms · cms editor · 8/17/2026
Latest release
Verifiedv1.0.2
Source: GitHub API · latest_release=v1.0.2 · 8/19/2026
License
VerifiedAGPL-3.0
Source: GitHub API · license.spdx_id=AGPL-3.0 · 8/19/2026
One-liner
VerifiedThe ultimate datacenter management solution for Proxmox VE and XCP-NG. Unified multi-cluster control, intelligent load balancing, and seamless cross-cluster VM migrations — all in one beautiful interface.
Source: GitHub API · from description/readme first line · 8/19/2026
Platforms
Inferred from materialswindows, macos, linux, browser
Source: Project README · windows,macos,linux,browser · 8/19/2026
Category hint
Inferred from materialsai-apps
Source: Project README · hint=ai-apps · 8/19/2026
product forms
Verifiedweb
Source: admin_cms · cms editor · 8/17/2026
role tags
Verifieddevops, operations, management, security
Source: admin_cms · cms editor · 8/17/2026
supports docker
VerifiedYes
Source: Repository file · dockerfile=true; compose=true · 8/19/2026
supports local
Inferred from materialsYes
Source: Project README · matched local keywords · 8/19/2026
supports self host
Inferred from materialsYes
Source: Project README · matched self-host keywords · 8/19/2026
Related projects
Other verified projects matched by category, capabilities, and intended roles.
omnigent
An open-source orchestration layer for running, switching, and collaborating across multiple AI agents through terminal, web, desktop, and cloud-sandbox sessions.
hermes-agent
A personal AI agent that runs locally or on remote infrastructure with terminal, messaging, memory, skills, and scheduled automation.
ragflow
An open-source RAG engine fusing deep document understanding and agent capabilities to build grounded context layers for LLMs.
LobsterAI
A desktop agent for local files, terminal, browser, and office workflows with multi-agent setup, skills, MCP, scheduled tasks, and IM remote control.
ollama
A local model runner for Windows, macOS, and Linux with a REST API plus Python and JavaScript clients.
unsloth
A desktop and developer toolkit for running, fine-tuning, and deploying language and diffusion models locally on Windows, macOS, and Linux.
