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Karve

Karve is a fast, native Windows workspace for the .http and .rest files already scattered across your repos. Organize, run, and inspect API requests offline - no account, no subscription.

Karve is a native Windows workspace for developers who already keep API requests as .http or .rest files across their repositories. Instead of importing those requests into a proprietary collection, Karve works directly with the files on disk. They remain plain text, stay next to the code they exercise, diff cleanly in Git, and continue to work in Visual Studio, VS Code REST Client, JetBrains HTTP Client, and other compatible tools.

Karve adds the workspace features that basic IDE runners usually lack: virtual folders across multiple repos, tabs with session restore, per-file environments, persistent searchable request and response history, and a structured response viewer for JSON, raw bodies, headers, timing, and the exact resolved request that was sent.

Karve also includes an opt-in MCP server. When enabled, AI coding agents such as Claude Code can find, run, fix, and author requests in the real workspace, while resolved URLs, environment values, and stored request history stay inside Karve and never reach the agent. The server is off by default and listens on localhost only.

The application is built natively with WinUI 3 for Windows 10 and Windows 11, with x64 and ARM64 support. Requests run locally from the user's machine, no account is required, and there is no subscription. Karve starts with a 15-day free trial and is purchased once.

A startup from Seoul, South Korea that is founded by Pavel Osadchuk.

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Karve Reviews and Details

This page is designed to help you find out whether Karve is good and if it is the right choice for you.

#API Tools #Developer Tools #HTTP Clients

Screenshots and images

One Workspace //
2026-08-03
Local Files //
2026-08-03
Enviroments //
2026-08-03
MCP Support //
2026-08-03

Features & Specs

Native Performance

Built with WinUI 3 on .NET 10 and compiled with Native AOT. Cold start is under two seconds. Native x64 and ARM64 builds, so it runs properly on Snapdragon X laptops. Not Electron.
Offline Functionality

No sign-in, no cloud sync, no telemetry beyond Sentry crash reports. Requests run from your machine and never pass through a vendor server.
Files

Requests stay as plain text files on disk, in your repositories, in the standard .http format. No import, no proprietary collection, no export needed if you leave. The same files keep working in Visual Studio, VS Code REST Client, and JetBrains HTTP Client.
Easy to Use

Each request file can carry its own .env environment, with a global active environment injected into {{variable}} resolution. Switch environments without editing the request.
Persistent Storage

Every send is stored locally in SQLite with the full request and response, searchable across sessions and re-openable later. History never leaves the machine.
Structured Data Output

JSON tree, raw body, headers, timing, and the exact resolved request that was actually sent, including which variable values were substituted.

Questions & Answers

As answered by people managing Karve.

How would you describe the primary audience of Karve?

Windows developers who already keep API requests as .http or .rest files next to their code, most of them working in .NET, and most of them using Visual Studio, VS Code, or a JetBrains IDE. They tend to be backend and full-stack engineers who treat requests as part of the repository rather than as something living in a SaaS account, and small teams that want request files reviewed in pull requests like any other code. A growing part of the audience runs AI coding agents locally and wants those agents to exercise real API requests without handing over tokens and environment values.
What makes Karve unique?

Karve does not own your requests. It reads and writes the .http and .rest files already sitting in your repositories, so requests stay plain text, diff in Git, and keep working in Visual Studio, VS Code REST Client, and JetBrains IDEs. There is no import step and no proprietary collection format. What Karve adds is the workspace those files never had: virtual folders that gather request files from many repos without moving them, per-file .env environments, tabs with session restore, a structured response viewer, and a persistent searchable history of every request and response. It also ships an opt-in MCP server, so AI coding agents can operate that workspace while resolved URLs, environment values, and stored history stay inside Karve.
Why should a person choose Karve over its competitors?

Three reasons, and they are all about ownership. First, your data stays yours in a format you can read: no cloud sync, no account, no login wall in front of an HTTP client, and nothing to export if you stop using Karve, because the files were never converted in the first place. Second, it is a real native Windows application built with WinUI 3 rather than a browser in a window, which shows up as sub-second cold start, low memory use, native ARM64 builds, and correct behavior with Mica, dark mode, and DPI scaling. Third, it is a one-time purchase instead of a per-seat subscription.

Karve is also honest about where it does not win. If one repository and one .http file is your whole workflow, VS Code REST Client is free and excellent, and Karve is file-compatible with it. Karve earns its place when those files spread across several repositories and environments. It is Windows only, and there is no WebSocket or gRPC support today.
What's the story behind Karve?
Karve started from a simple annoyance: my API requests already lived as .http files (the format Visual Studio, VS Code REST Client and JetBrains use) in my microservices' repos, but the moment they spread across projects there was no workspace for them, just a runner buried in each editor. That was quite annoying and every tool to launch them was slow and heavy (especially my daily driver - VS)

So I built a workspace, a tool, and made three stubborn choices:
1. Files stay files. Karve doesn't import your requests into a proprietary database. It organizes the .http/.rest files you already have, from any repo, without moving them. They keep diffing, branching, and reviewing like code.
2. Native or nothing. It's Windows native WinUI 3 app: cold start under 2 seconds, Mica themes, x64 and ARM64. No Electron shell, no cloud. Requests never leave your PC.
3. Your agent can drive it, without seeing your secrets. Karve ships a built-in MCP server, so Claude Code (or any MCP client) can find, run, fix, and author requests in your real workspace. But it only ever sees your requests as raw text with {{placeholders}} - resolved URLs, environment values, and stored history never cross to the agent. Off by default, because I'm not sure if it's coold or not, one toggle in Settings, localhost only.
Which are the primary technologies used for building Karve?
- C# on .NET 10
- WinUI 3 and the Windows App SDK
- Native AOT compilation for Release builds, which is what keeps cold start under two seconds
- CommunityToolkit.Mvvm for the MVVM layer
- SQLite for persistent local request and response history
- A custom .http editor that highlights syntax at render time inside the text control
- MSIX packaging, distributed through the Microsoft Store, with native x64 and ARM64 builds
- Sentry for crash reporting, which is the only telemetry in the application

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