IDE COMPARISON

Flame vs Cursor

Keep your agent choices. Bring the whole stack into view.

Flame is the stronger fit when you want supported coding-agent runtimes and the tools to run your whole stack in one IDE. Use Claude Code, Codex, or Gemini via Antigravity beside project groups, API requests, databases, and containers. Cursor offers its own agent experience, Tab completion, and cloud Project coordination. Both support parallel work and browser debugging; Flame brings the surrounding development workflow together.

Published by Flame · Official references linked below
WHERE FLAME IS THE STRONGER FIT

Your stack and your existing AI providers.

You use Claude Code, Codex, or Gemini via Antigravity and want to keep those agent choices while managing several repos. Flame adds shared commands, worktree setup, a task manager, and built-in API, database, and container tools around your development work.

See the Flame advantages →
WHEN TO CONSIDER CURSOR

Cursor's coordinated cloud agent workflow.

You want Cursor to coordinate a larger implementation through its cloud Projects workflow, or you already rely on Cursor’s agent tools and Tab completion. That cloud coordinator is a different capability from Flame’s independent local or SSH-hosted jobs.

Explore Cursor's approach ↗
THE FLAME ADVANTAGE

More of your development workflow, built in.

The difference shows up between editing and shipping. Here is where Flame brings the tools and project context together.

01

Use the coding runtimes you already know

Connect supported Claude Code, Codex, or Antigravity sign-ins and run those coding agents inside Flame. Choose the runtime as well as the model, with tools and permissions determined by that integration.

Explore agent integrations ↗
02

Investigate beyond the code

Reproduce a request in the API client, inspect stored data, and check container logs beside your agent conversation. These are built-in development workspaces you can operate directly.

Explore the API client ↗
03

Keep multi-service work organized

Group the frontend, API, and workers, reuse launch recipes, and broadcast commands to selected projects. Follow independent agent jobs and their review state in Agents Manager.

Explore multi-repository work ↗
CAPABILITIES & SETUP

Feature comparison

Compare the capability and how you set it up. Built-in tools, extensions, and external integrations are described separately so you can evaluate the workflow your project actually needs.

Flame and Cursor: workflow comparison
WorkflowFlame IDECursor
Existing AI accounts and keysUse supported Claude, Codex/ChatGPT, and Antigravity sign-ins. Configure API, compatible, or local endpoints for supported AI surfaces.Flame feature guide ↗Supports provider API keys for chat models. Tab completion continues to use Cursor's built-in models.Official documentation ↗
Project and service workflowProject discovery and groups, shared launch recipes, and Broadcast Terminal for selected repositories.Flame feature guide ↗Cloud Projects organize coordinator-led agent work around a repository. This differs from grouping local services and their commands.Official documentation ↗
API, database & container toolsBuilt-in HTTP/GraphQL client, database workspace, and Docker/Compose management for direct inspection beside the code.Flame feature guide ↗MCP connects the agent to external tools and data sources. Dedicated client interfaces depend on the extensions and tools you choose.Official documentation ↗
Agent coordinationAgents Manager tracks independent project jobs; supported Claude sessions also offer read-only delegated research and review workers.Flame feature guide ↗Projects in the Agents Window use a coordinator to plan and delegate work to implementation agents on Cloud Agents.Official documentation ↗
Worktree setupCreate linked checkouts with optional local-file copying and initialization commands; review each task's landing state.Flame feature guide ↗Documents isolated worktrees and setup through .cursor/worktrees.json. UI-native worktree controls are in the Agents Window; IDE workflows use worktree skills.Official documentation ↗
Browser evidenceInternal browser context, element screenshots, console evidence, and a separately paired Chrome Browser Bridge.Flame feature guide ↗Browser tools let agents navigate, interact with pages, inspect console output, and test applications.Official documentation ↗
ExtensionsLocal declarative extensions for scoped contributions. Check essential language and debugger tools individually.Flame feature guide ↗Uses Open VSX through its marketplace proxy, with replacements for some unavailable extensions. Compatibility is not universal.Official documentation ↗

Sources: Flame feature guides and official Cursor documentation, reviewed October 28, 2026. This is a comparison of documented workflows, not a performance benchmark. Worktrees separate working files; ports, databases, and credentials can still be shared.

DEVELOPMENT WORKFLOWS

The same task in Flame and Cursor

01

Run your API fix and frontend task side by side

In Flame: Assign independent jobs to Claude Code and Codex in separate project worktrees. Track both jobs in Agents Manager while keeping the frontend, API, and worker projects available for manual work.

In Cursor: Use isolated checkouts in Cursor’s Agents Window or worktree commands in the IDE. Cloud Projects add a coordinator that delegates implementation work. Flame emphasizes independent jobs alongside your local or SSH-hosted development environment.

See Agents Manager ↗
Flame IDE · Run your API fix and frontend task side by side
02

Choose how you access the model

In Flame: Connect an existing supported coding-agent account, a provider API, or a local endpoint. Choose providers for chat, agent tasks, completion, and focused actions according to the supported surface.

In Cursor: Cursor supports custom provider keys for chat. Its Tab completion uses Cursor’s built-in models. Selecting a model through an API key is different from running that provider’s native coding-agent runtime.

See supported providers ↗
Flame IDE · Choose how you access the model
03

Trace a UI error to the API and stored data

In Flame: Reproduce the bug in Flame’s browser, inspect the request in the API client, and query the relevant database record. Attach the useful evidence to chat, then inspect the fix and repeat the failing action.

In Cursor: Cursor’s browser tools let its agent interact with the page and inspect console and network evidence. MCP can connect additional tools and data sources for the investigation.

See the built-in API client ↗
Flame IDE · Trace a UI error to the API and stored data
TRY FLAME ON YOUR CODE

See the difference on your own stack.

Give an agent a small bug in a separate worktree while you continue another change. Follow its approvals, run its tests, and inspect exactly how the branch returns for review.

Compare the setup steps, tools you need to open, and the path from a failing check to a reviewed change.

FAQ

Switching and compatibility questions