Sourcegraph Cody vs AZMX AI

Selecting an AI coding assistant usually comes down to a trade-off between managed convenience and sovereign control. Sourcegraph Cody offers deep enterprise indexing and seamless integration, while AZMX AI provides a native, account-less environment with total model flexibility and strict approval gates. This guide breaks down the technical and financial differences to help you decide.

TL;DR: AZMX AI wins for developers who prioritize privacy, BYOK flexibility, and a lightweight native footprint; Sourcegraph Cody wins for large enterprises requiring centralized management and massive-scale codebase indexing.

Feature	Sourcegraph Cody	AZMX AI
Pricing	Freemium / Per-user monthly	Free / Pro / Teams + BYOK
Privacy / Data	Cloud-managed (Enterprise options)	Local-first, no telemetry, no account
BYOK Support	Limited / Enterprise	Native (OpenAI, Anthropic, Groq, etc.)
Offline Mode	No	Yes (Ollama, LM Studio)
MCP Support	Limited	Full (stdio and HTTP)
Approval Gates	Variable by integration	Mandatory for all shell/edit ops
Sub-agents	No	Yes
Architecture	IDE Extension / Cloud	Native Rust App (~7MB)
Platform	VS Code, JetBrains	macOS, Windows, Linux

Where Sourcegraph Cody is actually better

• Enterprise Indexing: Cody excels at indexing massive, multi-repo codebases across an entire organization, making it easier to find symbols and patterns in millions of lines of code.
• IDE Integration: As a plugin for VS Code and JetBrains, Cody lives inside your existing editor, removing the need to switch windows for basic completions.
• Managed Experience: For teams that do not want to manage API keys or model selection, Cody's managed service provides a turnkey experience.

Where AZMX wins

• Sovereign Control: AZMX is a native Rust app with a system webview, not an Electron wrapper. It requires no account and performs no telemetry. The only outbound call is a signed updater check.
• Model Agnostic (BYOK): You are not locked into a vendor. Use an Anthropic key today, switch to Groq for speed tomorrow, or run DeepSeek locally via Ollama for total privacy.
• Security by Default: While most agents have broad access, AZMX implements a strict deny-list for .env, .ssh, and credential files. Every shell command and file edit must pass through an approval gate.
• Extensibility via MCP: Support for the Model Context Protocol (MCP) over both stdio and HTTP allows AZMX to connect to external tools and data sources as first-class citizens.
• Project Memory: Using AZMX.md, the agent maintains persistent, human-readable project memory that you can edit manually to steer the AI's understanding of your architecture.

How to switch from Sourcegraph Cody

Migrating to AZMX AI is straightforward because it does not rely on proprietary lock-in formats. Follow these steps:

1. Export Context: If you have custom prompts or context files in Cody, copy them into a new AZMX.md file in your project root. This serves as the agent's long-term memory.
2. Install AZMX: Download the native binary from /download. It is approximately 7 MB and requires no installer overhead.
3. Configure Keys: Navigate to settings and enter your API keys for your preferred provider (e.g., Anthropic or OpenAI). Alternatively, start Ollama to run models locally.
4. Define Deny-lists: Review the default security settings to ensure your sensitive directories are protected beyond the default .env and .ssh blocks.
5. Connect MCP Servers: If you use external tools, add your MCP server configurations via the settings panel to enable sub-agent capabilities.

Pricing Breakdown

Sourcegraph Cody typically follows a per-seat monthly model. For a team of 10 developers, this often results in a fixed annual cost regardless of actual token usage.

Sourcegraph Cody (Example): $9/user/mo (Pro) $\times$ 10 users $\times$ 12 months = $1,080/year.

AZMX AI: Free to download. You pay only for the tokens you consume via your own API keys. For power users, the Pro plan ($20/mo) or Teams plan ($40/seat/mo) provides advanced platform features, but the core agent functionality remains self-serve.

For teams with erratic usage, the BYOK model of AZMX is significantly more cost-effective as you pay for exactly what you use from providers like Groq or Cerebras.

If you are tired of account requirements and telemetry, AZMX AI offers a professional, sovereign alternative. It is free to download, uses BYOK, and requires no account to get started. Visit /download to install the native binary.