YOUR NEW SPACE FOR MONGODB

MongoDB IDE.
Free and open source.

KapibaraStudio is a free, open source MongoDB IDE for Windows and Linux. Write queries with autocomplete, browse databases and collections, inspect BSON documents and export results as JSON or CSV.

Download KapibaraStudioExplore on GitHub

Free and open source · Windows and Linux

A space to think in data.

Explore the project
KapibaraStudio em Full HD, com o Explorer e o painel Agente IA abertos.
Captura real do aplicativo · Full HD · URI e credenciais não visíveis
MongoDB/.NET 10/Avalonia/MIT

FROM YOUR FIRST FIND TO YOUR NEXT INSIGHT

Tools to query and explore MongoDB.

A direct path between you, your queries and your data.

01

Explore with context

Browse databases and collections. Know which connection you are using, without running queries when selecting a collection.

02

Write with clarity

A query editor with deterministic autocomplete and formatting. Execute when you are ready, with the context of your tab.

03

Look beyond JSON

Inspect results as JSON or a tree while preserving BSON types such as ObjectId, UUID and dates.

04

Edit with intention

Review changes before writing. Explicit confirmations and read-only profiles help you control operations.

05

Take your results along

Export the loaded page as Extended JSON or CSV and keep working with the tools you already use.

06

Open by nature

Open source under the MIT license. Follow decisions, report issues and help shape the project.

ONE FLOW, START TO FINISH

Connect. Explore. Understand.

From your database to an answer, without losing your train of thought.

  1. 01

    Connect your MongoDB

    Set up a profile, test the connection and choose your database.

  2. 02

    Write your query

    Open a collection and prepare what you want to execute.

  3. 03

    Work with the answer

    Inspect documents, review edits and export results.

Current priority: Phase 8 / v0.12.0, local AI and contextual productivity; next, Phase 5 / v0.9.0, GitHub Copilot. Local AI remains optional and experimental. See all 11 phases, goals and completion criteria in the Portuguese documentation. Documentation

LOCAL, OPEN AND OPTIONAL AI

KapiCoder models for MongoDB.

Compact models fine-tuned for MongoDB query autocomplete (fill-in-the-middle). They are published on Hugging Face as ONNX builds, to run locally on the CPU with KapibaraStudio, and as Transformers weights, for study and further fine-tuning.

Links open the model repositories on Hugging Face.

The models are optional and experimental. They were trained on synthetic data, and the published metrics have not been independently verified. Apache-2.0 license, separate from the app’s MIT license; see the model card and notices in each repository.

READY TO EXPLORE?

Your next step starts on GitHub.

Download KapibaraStudio for free from the official releases. Choose a Windows or Linux package for x64 (x86-64) or ARM64.

Latest publication v0.9.5ExperimentalPublished on

How to download

  1. Open the GitHub releases page.
  2. Under Assets, choose your system and architecture.
  3. Download the archive and extract it.
View releases on GitHub

Continue on GitHub to choose and download your file.

Release notesExplore on GitHub

Packages in the latest release

Windows

ZIP archive · self-contained app

x64
81 MiB
ARM64
175 MiB

Linux

TAR.GZ archive · self-contained app

x64
75 MiB
ARM64
72 MiB

SHA256SUMS.txt is available under Assets to verify your file.

Experimental project, without a full human review or security audit yet. Use test data; for production, keep backups and read-only credentials. Connection profiles are stored locally without encryption.

OPEN CODE. REAL SUPPORT.

Help this capybara go further.

If KapibaraStudio makes your day easier, consider supporting the project. Your contribution helps sustain development, testing and documentation.

BEFORE YOU START

Questions about the open source MongoDB IDE.

Is KapibaraStudio a free and open source MongoDB IDE?

Yes. The project is free and open source under the MIT license. Donations are optional and help sustain development.

Which operating systems are supported?

Packages are available for Windows and Linux on x64 (x86-64) and ARM64. Each package’s availability is shown in the downloads section. There is no official macOS package.

Do I need AI to use the app?

No. Connections, queries and deterministic autocomplete work without an AI model. Local AI features are optional and experimental; see the documentation for limits and requirements.

Can I use it in production?

The product is still experimental and has not undergone a full human review, security audit or production validation. Prefer test databases. If accessing production, use backups and read-only credentials.

How can I contribute?

Visit the GitHub repository to read the guidelines, open an issue or propose a change. You can also contribute financially through GitHub Sponsors.