AZMX AI

Guide · 2026-05-29 · 6 min read

Break the Copilot Tax

Stop paying per-seat premiums for a locked-in ecosystem and move to a sovereign, BYOK agent architecture.

Many engineering leads find GitHub Copilot business pricing too expensive not because of the monthly fee, but because of the lack of flexibility. When you pay for Copilot, you pay for a specific set of models and a closed environment. For teams requiring strict data sovereignty, offline capabilities, or the ability to swap between Claude 3.5, GPT-4o, and DeepSeek based on the task, the fixed-cost model becomes a liability rather than an asset.

TL;DR

AZMX AI wins when you need model flexibility (BYOK), strict privacy (no telemetry/accounts), and local execution; GitHub Copilot wins when you want a zero-config, integrated experience and don't mind vendor lock-in.

FeatureGitHub CopilotAZMX AI
PricingPer seat/monthFree / Pro / Teams + BYOK
PrivacyEnterprise termsNo account, no telemetry
BYOK SupportNoYes (Full)
Offline ModeNoYes (Ollama/LM Studio)
MCP SupportLimitedFull (stdio & HTTP)
Approval GatesImplicit/NoneExplicit per op
Sub-agentsNoYes
PlatformIDE ExtensionNative App (~7MB)
AvailabilityCross-platformmacOS, Windows, Linux

Where GitHub Copilot is actually better

  • Zero Setup: If you use VS Code and GitHub, Copilot is a one-click install. There is no need to manage API keys or local model binaries.
  • Deep Ecosystem Integration: Its integration with GitHub Issues and PRs is seamless and native to the platform.
  • Predictable Billing: A flat monthly fee per user simplifies budgeting for procurement departments who dislike variable API spend.

Where AZMX wins

  • Model Sovereignty: You aren't locked into one provider. Use Groq for speed, DeepSeek for logic, or a local Llama 3 instance via Ollama for sensitive IP.
  • Security by Default: AZMX includes a hard deny-list for .env, .ssh, and credentials. While Copilot filters data, AZMX prevents the agent from even seeing the files.
  • Native Performance: Unlike Electron-based wrappers, AZMX is a ~7 MB native binary using a Rust backend and system webview, reducing memory overhead.
  • Agentic Control: Every shell command and file edit requires an approval gate. You see the diff in CodeMirror 6 before it hits your disk.
  • Extensibility: Full MCP (Model Context Protocol) support allows you to connect your agent to any internal tool via stdio or HTTP.

How to switch from GitHub Copilot

Migrating from a managed service to a sovereign platform requires a shift in how you handle context and keys.

  1. Export Project Context: Create an AZMX.md file in your project root. Move your project rules, architectural decisions, and onboarding notes here. This serves as the persistent memory for the AZMX agent.
  2. Provision API Keys: Gather keys from your preferred providers (Anthropic, OpenAI, Google, etc.) or start an Ollama instance for local-only work.
  3. Install AZMX: Download the binary from /download. Since there is no account creation, you are ready to code immediately.
  4. Configure Deny-lists: Review the default security settings in /security to ensure your specific sensitive directories are blocked.

Pricing breakdown

For a team of 20 developers over one year:

  • GitHub Copilot Business: $19/user/month × 20 users × 12 months = $4,560/year (Fixed).
  • AZMX AI: $0 (Free) or $20/mo (Pro) + actual token usage. For most teams, using a mix of Groq and DeepSeek via BYOK reduces costs by 40-60% compared to per-seat licensing, especially for developers with varying usage patterns.

If your organization finds GitHub Copilot business pricing too expensive or restrictive, the move to a sovereign agent is a move toward technical independence. AZMX AI provides the tooling to run your own AI stack with no account, no telemetry, and full control over your data. Download the binary at /download to start with a free, BYOK setup.

One window. The whole loop.