Decision comparison
Berth vs Cursor
Berth and Cursor occupy fundamentally different positions in the developer workflow. Cursor is an AI-powered IDE that helps you write and edit code, while Berth is a deployment platform that runs AI-generated code on your own infrastructure. They complement each other rather than compete directly.
Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.
All 2 are AI coding assistants.
Quick Comparison
| Decision factor | Berth | Cursor |
|---|---|---|
| Best For | Deploying AI-generated code to your own infrastructure with zero configuration | AI-assisted code writing, editing, and reasoning inside a full IDE |
| Architecture | Mac-native app with Rust-based remote agents, NATS relay, and MCP server | VS Code fork with built-in AI agents, cloud agents, and codebase indexing |
| Pricing Model | Contact for pricing | Business Plans $40/user, $20/mo, $60/mo, $200/mo |
| Ease of Use | One-command deploy workflow; no Docker or YAML required | Familiar VS Code interface with AI features layered into the editing experience |
| Scalability | Multi-agent deployment across Mac, VPS, and on-prem servers | Supports teams of thousands with centralized billing and analytics |
| Community/Support | Early-stage open-source project with small but growing community | Large community; trusted by over half of Fortune 500 companies |
Berth
- Best For:
- Deploying AI-generated code to your own infrastructure with zero configuration
- Architecture:
- Mac-native app with Rust-based remote agents, NATS relay, and MCP server
- Pricing Model:
- Contact for pricing
- Ease of Use:
- One-command deploy workflow; no Docker or YAML required
- Scalability:
- Multi-agent deployment across Mac, VPS, and on-prem servers
- Community/Support:
- Early-stage open-source project with small but growing community
Cursor
- Best For:
- AI-assisted code writing, editing, and reasoning inside a full IDE
- Architecture:
- VS Code fork with built-in AI agents, cloud agents, and codebase indexing
- Pricing Model:
- Business Plans $40/user, $20/mo, $60/mo, $200/mo
- Ease of Use:
- Familiar VS Code interface with AI features layered into the editing experience
- Scalability:
- Supports teams of thousands with centralized billing and analytics
- Community/Support:
- Large community; trusted by over half of Fortune 500 companies
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | Berth | Cursor |
|---|---|---|
| GitHub commits, 90d(Product adoption) | 0 | Not available |
| GitHub stars(Product adoption) | 3 | Not available |
| Search interest(Market interest) | 0 | 1 |
| Product Hunt comments(Community interest) | 1 | 0 |
| Product Hunt reviews(Community interest) | 0 | 0 |
| Product Hunt votes(Community interest) | 0 | 23 |
| GitHub commits, 90d(Developer adoption) | Not available | 0 |
| GitHub stars(Developer adoption) | Not available | 33,000+ |
| Hacker News mentions, 90d(Community interest) | Not available | 0 |
| npm weekly downloads(Developer adoption) | Not available | 396.8k |
| Stack Overflow questions(Community interest) | Not available | 59 |
As of September 21, 2026 — updated weekly.
Health & risk evidence
Observed public-source checks for mapped package versions and repositories.
Berth
Package vulnerabilities
Not available
Repository security score
Not available
Cursor
September 21, 2026Package vulnerabilities
npm · @cursor/sdk@1.0.31
0 vulnerabilities
across 1 package
Repository security score
Not available
Interface Preview
Berth
Feature Comparison
| Feature | Berth | Cursor |
|---|---|---|
| AI Integration | ||
| MCP Support | 17 MCP tools for deploy, monitor, schedule, and manage | Full MCP support with apps, plugins, and team marketplaces |
| AI Agent Capabilities | Works with Claude Code, Cursor, Codex, Windsurf, and any MCP client | Built-in autonomous agents that plan, code, test, and run in parallel |
| AI Code Generation | Not verified | Agents turn ideas into code with multi-file editing and planning |
| AI Autocomplete | Not verified | Specialized Tab model predicts next edits with high accuracy |
| Deployment & Runtime | ||
| One-Command Deployment | Deploy code with a single command to Mac or Linux servers | Not verified |
| Runtime Detection | Auto-detects Python, Node, Go, Rust, Shell from config files | Not verified |
| Remote Agents | Single Rust binary on Linux with persistent execution and NATS relay | Cloud agents run autonomously to build, test, and demo features |
| Cron Scheduling | Agent-side scheduling with cron expressions; runs when Mac is asleep | Not verified |
| Development Environment | ||
| Code Editor / IDE | Not verified | Full VS Code-based IDE with extensions and integrated terminal |
| Codebase Indexing | Not verified | Semantic search and indexing across entire codebase at any scale |
| Multi-Model Support | Not verified | Access to OpenAI, Anthropic, Gemini, xAI, and Cursor models |
| GitHub and Slack Integration | Not verified | Reviews PRs in GitHub, collaborates in Slack, runs in terminal |
| Infrastructure & Security | ||
| Self-Hosted Deployment | Fully self-hosted; code runs on your own machines exclusively | Not verified |
| Sandbox Isolation | gVisor sandboxed containers with user-space kernel isolation | Not verified |
| Automatic TLS Certificates | Each app gets its own subdomain with automatic TLS certificates | Not verified |
| Live Log Streaming | Real-time stdout/stderr via xterm.js with ANSI color support | Not verified |
| Persistent Storage | Built-in /data directory and REST API that survive rebuilds | Not verified |
| Secrets Management | Encrypted secrets stored on server, injected at runtime, never exposed | Not verified |
AI Integration
MCP Support
AI Agent Capabilities
AI Code Generation
AI Autocomplete
Deployment & Runtime
One-Command Deployment
Runtime Detection
Remote Agents
Cron Scheduling
Development Environment
Code Editor / IDE
Codebase Indexing
Multi-Model Support
GitHub and Slack Integration
Infrastructure & Security
Self-Hosted Deployment
Sandbox Isolation
Automatic TLS Certificates
Live Log Streaming
Persistent Storage
Secrets Management
Which to choose
Berth and Cursor occupy fundamentally different positions in the developer workflow. Cursor is an AI-powered IDE that helps you write and edit code, while Berth is a deployment platform that runs AI-generated code on your own infrastructure. They complement each other rather than compete directly.
Best-fit scenarios
Choose Berth if:
Choose Berth when you need to deploy AI-generated code to your own Mac or Linux servers without Docker, YAML, or complex infrastructure configuration. It is ideal for developers who want self-hosted deployment with zero-config simplicity, cron scheduling, and MCP-native workflows.
Choose Cursor if:
Choose Cursor when you need an AI-powered IDE for writing, editing, and reasoning about code. It is the right pick for developers and teams who want intelligent autocomplete, autonomous coding agents, codebase-wide understanding, and deep integrations with GitHub and Slack.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
Can Berth and Cursor be used together?
Yes. Berth is designed to work alongside AI coding tools like Cursor. You write code in Cursor using its AI-powered editing features, then deploy that code through Berth using its MCP integration. Cursor even appears as one of the supported MCP clients in Berth's documentation.
Is Berth free to use?
Berth is free and open source under the Apache-2.0 license. You can install it via Homebrew on macOS with no account required. The remote agent is a single Rust binary that runs on any Linux server. There are no subscription fees or usage limits.
What AI models does Cursor support?
Cursor supports frontier models from OpenAI, Anthropic, Google Gemini, xAI, and its own proprietary models. Users on paid plans can switch between models like GPT-5, Claude Opus 4.6, and Gemini 3 Pro depending on the task.
Does Berth require Docker or Kubernetes?
No. Berth eliminates the need for Docker, YAML configuration files, or container orchestration. It auto-detects runtimes from your project files and handles deployment with a single command. For isolation, it uses gVisor sandboxed containers rather than traditional Docker setups.
Can Cursor deploy code on its own, without Berth?
Cursor is an editor, not a deployment platform. It writes, edits and reasons about code inside a VS Code fork with built-in AI agents and codebase indexing, and it stops at the point the code has to run somewhere. Berth takes over there: it auto-detects the runtime from your project files and ships the result to a Mac, a VPS or an on-prem server in one command, with no Docker or YAML. If you use Cursor alone you still need a separate path to production, which is why Berth lists Cursor as a supported MCP client rather than a competitor.