OpenFrame Alpha - Unified MSP Operations Platform

Version: 0.0.2

AI INTEGRATIONMSPOPENFRAMEPLATFORM UPDATES

MAJOR

Release Type

ALPHA

Release Status

October 13, 2025

Release Date

Michael Assraf

Michael Assraf

Founder and CEO

OpenFrame Alpha delivers the first full slice of the OpenFrame platform for MSPs: a managed cloud deployment option, unified dashboard and API, deep endpoint visibility, and integrated remote access. This release also introduces Fae, a read-only AI assistant for querying infrastructure, plus basic chat-based ticketing and Google SSO to make day-to-day operations faster, safer, and easier to manage.

Features Added
12

  • Managed Cloud Deployment (Turnkey SaaS OpenFrame)

    Provides a fully managed cloud deployment of OpenFrame with automated provisioning, updates, scaling, backups, and disaster recovery, giving MSPs a turnkey SaaS option with high availability, predictable pricing, and no infra overhead.

  • OpenFrame CLI for Self-Hosted Deployments

    Introduces a command-line interface to deploy, configure, and manage self-hosted OpenFrame, with guided install flows, config validation, backup/restore, diagnostics, and support for k3d, helm, argocd and infra-as-code workflows.

  • Basic Chat-Based Ticketing

    Adds foundational ticketing through a chat interface so users can create, track, and manage support requests conversationally, with automatic categorization, assignment, email notifications, and ticket history tied into OpenFrame user management.

  • Fae Chat – Read-Only AI-Powered Client Assistant

    Launches the initial read-only version of Fae, allowing users to query infrastructure, devices, logs, and documentation via natural language, with context-aware responses, source citations, and integrations to OpenFrame data sources.

  • MeshCentral Remote Access Integration

    Integrates MeshCentral to provide secure remote desktop, terminal, file transfer, and Intel AMT out-of-band management across Windows, macOS, and Linux, including agent deployment automation, certificate handling, relay configuration, and OpenFrame auth/logging integration.

  • Custom Google SSO for OpenFrame

    Implements Google Workspace SSO for secure, frictionless login with automated user provisioning, group-based roles, MFA enforcement, session management, audit logging, and conditional access controls for MSPs using Google Workspace.

  • Unified OpenFrame Logging

    Introduces a centralized logging layer that aggregates structured logs from TacticalRMM, FleetDM, MeshCentral, the API gateway, and auxiliary services into a searchable repository with correlation, retention policies, and advanced query capabilities.

  • Unified OpenFrame Dashboard

    Adds a single operations dashboard that brings together health monitoring, alerts, performance metrics, and quick-action workflows across TacticalRMM, FleetDM, MeshCentral, and security tools, with customizable widgets, role-based views, and multi-tenant isolation.

  • Unified OpenFrame API Layer

    Provides a unified API gateway with consistent auth, normalized data models, rate limiting, REST endpoints, WebSocket support, webhooks, and SDK-friendly documentation, forming the integration surface for third-party platforms and future extensions.

  • Osquery Endpoint Visibility Integration

    Deploys osquery as the core telemetry layer, enabling SQL-style queries over system state, scheduled queries for continuous monitoring, on-demand investigations, and integrations with threat intel to support security investigations and posture management.

  • FleetDM Integration for Endpoint Management

    Connects OpenFrame with FleetDM to deliver real-time endpoint inventory, vulnerability data, compliance monitoring, and policy-based configuration management across Windows, macOS, and Linux fleets, with support for automated remediation workflows.

  • TacticalRMM Integration for RMM & Automation

    Brings TacticalRMM into OpenFrame to power remote monitoring, management, and automation, including agent management, real-time monitoring dashboards, patch management coordination, automated scripts, and event-driven alerting across all managed endpoints.

Related Links

Github Release0.0.2
Michael Assraf

Founder and CEO

Hey everyone, I'm Michael - founder and CEO of Flamingo. Before this, I built Vicarius, a cybersecurity company focused on vulnerability remediation, where I raised over $60M in funding. Working closely with service providers through that journey, I saw firsthand how MSPs were losing money to vendor payouts and inefficient systems - and that's when the idea for Flamingo clicked. I set out to build an open-source platform that dramatically increases MSP margins while helping them deliver better service to their clients.

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Frequently Asked Questions

MSP AI Agents

Yes. In production MSP shops today, 10% to 25% of tickets close before a human opens them. Thread alone has processed 173 million tickets across 750-plus MSP partners at 96% triage accuracy, handing back 490,000-plus technician hours. Agents own the low-risk, high-volume work (password resets, MFA enrollment, known installs, onboarding and offboarding) and flag anything that touches production data or needs judgment for a human to take.
On a five-person desk, reported deployments show $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Broader MSP adoption data adds ticket handling time cut by 45% and five to 12 points of margin, all from reclaimed capacity rather than headcount cuts.

AI MSP

MSPs use AI to triage and route tickets, cut alert noise, schedule patches, assist L1 security work, and draft client reports. Kaseya's 2025 benchmark found 30% already use it to eliminate tedious tasks, with ticket triage the most common starting point.
Most MSPs start with AI features inside their existing PSA, RMM, and ticketing systems rather than standalone products. Common categories include AI ticket triage, alert correlation, scripting assistants, and AI-native all-in-one platforms like OpenFrame that run intelligence across the whole stack.
Start with a readiness assessment, not a tool purchase. Confirm your ticket history is clean and your RMM, PSA, and monitoring systems connect. Then pick one high-volume, low-risk workflow, usually ticket triage, and pilot it on internal tickets before any client sees it.
Automate high-volume, low-risk tasks first. Ticket triage and alert noise reduction top the list because they run constantly and a human still resolves the underlying issue. Save security approvals, billing changes, and client-facing actions for later, always with a human in the loop.

AI Safety

It can be, with governance. Keep a human in the loop on high-risk actions, log every automated step for audit, and choose platforms that keep your data yours with no vendor lock-in. Pilot on internal data first so you catch issues before client systems are involved.

AI for MSPs

Set a baseline before rollout, then track tickets closed per technician, mean time to resolution, percentage of tickets resolved with no human touch, technician hours reclaimed, and cost per ticket. AI-driven automation commonly cuts operational cost per ticket by 25 to 40%.

About OpenFrame

OpenFrame isn't built to plug into your stack. It replaces it. Instead of duct-taping a dozen tools together (RMM, MDM, SIEM, patching, remote access, each its own login and bill), we bundle it into one unified platform: RMM, MDM, monitoring, automation, remote access, patch management, security monitoring, and ticketing, plus built-in AI copilots. So "does it integrate with X?" usually means: you won't need X anymore.

Getting Started

OpenMSP is The MSP Knowledge Hub & Community Platform designed specifically for Managed Service Providers seeking to optimize their technology stack, reduce vendor costs, and discover open-source alternatives. We combine a comprehensive vendor directory, open-source solution catalog, and integrated community discussions to help MSPs make informed decisions.