Cline vs AZMX AI – Which Open Agent Wins?

When evaluating AI coding agents, the choice often comes down to trade‑offs between convenience and control. Cline offers a familiar VS Code extension experience, while AZMX AI delivers a lightweight native desktop app with full BYOK, offline operation and strict approval gates. This guide breaks down every relevant dimension so you can decide which agent aligns with your workflow, security needs and budget.

TL;DR

AZMX wins when you need a lightweight native desktop agent with full BYOK, offline capability, and strict approval gates; Cline wins when you prefer a VS Code extension with tighter IDE integration and a larger extension ecosystem.

Feature	AZMX AI	Cline
Pricing	Free to download; Pro $20/mo, Teams $40/seat·mo	Free and open source; no paid tiers currently
Privacy / data handling	No account, no telemetry; only signed updater check; deny‑list blocks .env/.ssh/credentials by default	Extension may send usage telemetry unless disabled; no built‑in deny‑list for credentials
BYOK support	OpenAI, Anthropic, Google, Groq, xAI, Cerebras, DeepSeek, NVIDIA NIM, Azure OpenAI, Sarvam; offline via Ollama/LM Studio	OpenAI, Anthropic, Google, Groq, etc.; limited offline options
Offline mode	Fully offline through LM Studio and Ollama; no network calls except updater	Requires internet to reach model API; offline via local models is possible but less seamless
MCP support	Native MCP over stdio and HTTP; sub‑agents; project memory in AZMX.md	No native MCP; relies on VS Code extension APIs; limited sub‑agent support
Approval gates	Approval required for every shell/edit operation; deny‑list refuses credentials by default	No built‑in approval gates; user must vet actions manually
Sub‑agents	Yes – can spawn sub‑agents that share AZMX.md memory	No formal sub‑agent mechanism
Open source / proprietary	Proprietary client (free download) with closed source core	Open source (MIT)
Platform availability	Native macOS, Windows, Linux (~7 MB binary)	VS Code extension – runs wherever VS Code runs (macOS, Windows, Linux, web)

Where Cline is actually better

• Deep IDE integration: being a VS Code extension, Cline inherits the editor’s autocomplete, debugging and workspace features without leaving the editor.
• Extension ecosystem: you can combine Cline with other VS Code extensions (linters, formatters, language packs) for a unified development experience.
• Lower friction for existing VS Code users: no new binary to install, settings sync via your VS Code profile.
• Community‑driven plugins: as an open‑source project, Cline benefits from community contributions that add new model providers or tooling quickly.

Where AZMX wins

• Native desktop performance: ~7 MB binary, no Electron overhead, faster startup and lower RAM usage.
• True BYOK freedom: supports every major cloud provider plus local runtimes (Ollama, LM Studio) so you can switch models without changing the agent.
• Full offline capability: run the agent entirely off‑grid; the only outbound call is the signed updater check.
• Strict approval gates: every shell command and file edit requires explicit approval, and the deny‑list blocks .env, .ssh and credential files by default.
• MCP and sub‑agents: native Model Context Protocol over stdio/HTTP lets you orchestrate multi‑agent workflows and persist project state in AZMX.md.
• No account, no telemetry: privacy‑first design means no data leaves your machine unless you explicitly send it to a model.

How to switch from Cline

1. Export your Cline settings: open VS Code, open Settings → Extensions → Cline, copy your API keys and any custom model endpoints.
2. Save any custom prompts or snippets you store in Cline’s workspace folder.
3. Download AZMX AI from the download page and install the native app for your OS.
4. Launch AZMX AI, open the Settings pane, and paste the API keys you exported from Cline under the “Providers” section.
5. If you used local models with Cline (e.g., Ollama), add the same endpoint in AZMX AI’s “Local Models” tab.
6. Create or copy your project’s AZMX.md file (you can start with an empty file; AZMX AI will populate it with context as you work).
7. Adjust approval‑gate preferences: by default AZMX AI requires approval for every shell/edit op; you can fine‑tune the deny‑list in Settings → Security.
8. Import any keybindings or snippets you rely on: AZMX AI mirrors common VS Code shortcuts, but you can remap them in Settings → Keyboard.
9. Test the workflow: run a simple shell command, verify the approval prompt appears, then try an AI‑assisted edit to see the diff‑based review.
10. Optional: enable MCP over stdio if you plan to run sub‑agents; see the documentation for example configurations.

Pricing breakdown

Consider a team of five developers over one year.

• Cline: free and open source → $0 in licensing costs.
• AZMX AI: free download; if you need the Pro tier for each seat: $20/mo × 5 × 12 = $1,200. Teams tier would be $40/seat·mo × 5 × 12 = $2,400.
• If you stay on the free tier and rely solely on your own BYOK (e.g., OpenAI API usage at $0.02 per 1k tokens), the agent itself adds no extra cost beyond your model provider bills.

Thus, AZMX AI’s cost is entirely optional; you can run it completely free with your own keys, or pay for Pro/Teams features such as priority updates, centralized policy management and enhanced support.

Download AZMX AI today — free, BYOK, no account — and start building with a native agent that respects your privacy.