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Breeze

Remote Monitoring and Management

Open Source
Free Tier
Paid Plans
E
Enterprise
OpenMSP Score
0
N/A
Reddit Impact Score
Github Score
7K
19Stars
2Forks
228Commits
AGPL-3.0License
Feb 25, 2026Last commit

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Breeze is an open-source remote monitoring and management platform with AI built into its core. Licensed under AGPL-3.0, it ships 44 modules in every deployment with zero add-ons or per-device fees. The platform's defining feature is its AI brain – a tool-equipped agent (powered by Anthropic's Claude Agent SDK) that investigates alerts, diagnoses root causes, executes remediations, and documents everything automatically. Every AI action passes through a 4-tier risk engine: low-risk actions auto-resolve, medium-risk actions execute with notification, high-risk actions require human approval, and critical actions are blocked entirely. Core capabilities include device management with hardware/software inventory across Windows, macOS, and Linux; remote access via WebRTC (terminal, file browser, remote desktop); patch management with approval workflows; SNMP monitoring; network discovery; configuration policies; automation and scripting (PowerShell, Bash); and alerting with multi-channel routing. Built on a modern stack (Astro + React frontend, Hono TypeScript API, Go agent, PostgreSQL), Breeze is multi-tenant from day one with a Partner → Organization → Site → Device Group → Device hierarchy. The Go-based agent is 15MB – roughly 10–20x smaller than commercial RMM agents. Self-hosted deployment runs via Docker Compose.

Key Features

AI-Native Brain

Built-in AI agent (Anthropic Claude Agent SDK) that investigates alerts, diagnoses root causes, executes remediations, and documents everything. Not a chatbot – a tool-equipped agent with risk-classified guardrails.

Device Management

Hardware and software inventory, real-time health monitoring, configurable policies, and advanced fleet filtering across Windows, macOS, and Linux endpoints.

Remote Access & Control

WebRTC-based remote terminal, file browser, remote desktop, and activity monitoring from a single web interface. No third-party remote access tool required.

Patch Management

Automated OS and application patching with approval workflows, maintenance windows, and compliance reporting.

44 Modules, Zero Add-Ons

Every feature ships in every deployment: SNMP monitoring, network discovery, automations, scripting, DNS security, backup, branding, reports, and more. No per-device fees or feature gating.

Pros and Cons

Pros

AI-Native Architecture

AI agent is core to the platform, not a bolt-on. Investigates, remediates, and documents autonomously with a 4-tier risk engine that enforces guardrails at the RMM level.

No Per-Device Pricing

Free self-hosted with unlimited devices and all 44 modules. No add-on fees, no feature gating, no per-endpoint billing.

Lightweight Agent

15MB Go binary compared to 200-300MB agents from commercial competitors. Cross-platform (Windows, macOS, Linux) with minimal resource footprint.

Modern Tech Stack

Astro + React frontend, Hono TypeScript API, Go agent, PostgreSQL. Clean codebase under active development with 228 commits and 22 releases.

Cons

Very Early Stage

19 GitHub stars, 4 contributors, still at v0.10.x. Pre-1.0 with several features marked as in progress (network discovery, backup). Limited production deployments to reference.

No PSA Integration Yet

ConnectWise, Autotask, and HaloPSA integrations are on the "Later" roadmap. MSPs who need PSA connectivity today will need to wait or build custom API bridges.

Small Community

Discord community is nascent. Limited third-party tutorials, community scripts, or battle-tested deployment guides compared to TacticalRMM or commercial alternatives.

Cloud Hosting Not Yet Available

Self-hosted only. Managed cloud is on a waitlist with no confirmed launch date. MSPs without Docker/Linux skills face a higher barrier to entry.

Feature Comparison

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