Augment Code vs LM Studio
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Augment Code if you want ai coding agent built for large, complex enterprise codebases (Supervised agent, subscription); choose LM Studio if you want desktop app to discover, download, and run open-weight llms locally, with a local api (Assistant, freemium).
| Augment Code | LM Studio | |
|---|---|---|
| What it is | AI coding agent built for large, complex enterprise codebases | Desktop app to discover, download, and run open-weight LLMs locally, with a local API |
| Type | agent | framework |
| Autonomy | Supervised agent | Assistant |
| Pricing | subscription · Plans from ~$20/mo; Enterprise custom (reported) | freemium · Free for personal and work use; Enterprise plan (contact sales) |
| Best for | enterprise, mid-market, developers | developers, smb, enterprise |
| Deployment | saas | self-hosted, api |
| Modalities | text, code | text, code, image, api |
| Models | model-agnostic | open-source, model-agnostic, llama |
| Protocols | mcp, function-calling, rest-api | rest-api, function-calling, mcp |
| Integrations | VS Code, JetBrains, GitHub, GitLab, Slack | llama.cpp, Apple MLX, Hugging Face, Python SDK, JavaScript SDK, MCP servers |
| Capabilities | 3 documented | 4 documented |
Augment Code
- +Context engine designed for very large, multi-repo codebases
- +Agent mode handles multi-file changes and refactors with system-wide awareness
- +Enterprise security: SOC 2 Type II, ISO 42001, SSO/SCIM
- -Strongest value is at enterprise scale; overkill for small projects
- -Enterprise pricing is custom and reportedly high
LM Studio
- +Polished cross-platform desktop GUI (macOS, Windows, Linux) with a built-in model browser and chat, easier for non-CLI users than raw runtimes
- +Runs both GGUF (via llama.cpp) and Apple MLX models, and exposes an OpenAI-compatible local server plus Python/JS SDKs
- +Free for personal and commercial use (since July 8, 2025), private and offline by default, with an MCP client built in
- -Infrastructure and chat client, not an agent: it serves models but does not plan, act, or orchestrate on its own
- -The core desktop app is not open source (unlike some local-runtime peers), though its SDKs and CLI are on GitHub
Which should you choose?
Augment Code is ai coding agent built for large, complex enterprise codebases, best for enterprise, mid-market, developers. LM Studio is desktop app to discover, download, and run open-weight llms locally, with a local api, best for developers, smb, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.