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bytedance/UI-TARS-desktop

Sat, 07 Feb 2026 00:07:28 GMT

bytedance/UI-TARS-desktop

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

Language: TypeScript

Stars: 27,100

Forks: 2,642

Stars today: 573 stars today

README

## Introduction English | [简体中文](./README.zh-CN.md) [![](https://trendshift.io/api/badge/repositories/13584)](https://trendshift.io/repositories/13584) TARS^\* is a Multimodal AI Agent stack, currently shipping two projects: [Agent TARS](#agent-tars) and [UI-TARS-desktop](#ui-tars-desktop):

Agent TARS	UI-TARS-desktop

Agent TARS is a general multimodal AI Agent stack, it brings the power of GUI Agent and Vision into your terminal, computer, browser and product. It primarily ships with a CLI and Web UI for usage. It aims to provide a workflow that is closer to human-like task completion through cutting-edge multimodal LLMs and seamless integration with various real-world MCP tools.	UI-TARS Desktop is a desktop application that provides a native GUI Agent based on the UI-TARS model. It primarily ships a local and remote computer as well as browser operators.

## Table of Contents - [News](#news) - [Agent TARS](#agent-tars) - [Showcase](#showcase) - [Core Features](#core-features) - [Quick Start](#quick-start) - [Documentation](#documentation) - [UI-TARS Desktop](#ui-tars-desktop) - [Showcase](#showcase-1) - [Features](#features) - [Quick Start](#quick-start-1) - [Contributing](#contributing) - [License](#license) - [Citation](#citation) ## News - **\[2025-11-05\]** 🎉 We're excited to announce the release of [Agent TARS CLI v0.3.0](https://github.com/bytedance/UI-TARS-desktop/releases/tag/v0.3.0)! This version brings streaming support for multiple tools (shell commands, multi-file structured display), runtime settings with timing statistics for tool calls and deep thinking, Event Stream Viewer for data flow tracking and debugging. Additionally, it features exclusive support for [AIO agent Sandbox](https://github.com/agent-infra/sandbox) as isolated all-in-one tools execution environment. - **\[2025-06-25\]** We released a Agent TARS Beta and Agent TARS CLI - [Introducing Agent TARS Beta](https://agent-tars.com/blog/2025-06-25-introducing-agent-tars-beta.html), a multimodal AI agent that aims to explore a work form that is closer to human-like task completion through rich multimodal capabilities (such as GUI Agent, Vision) and seamless integration with various real-world tools. - **\[2025-06-12\]** - 🎁 We are thrilled to announce the release of UI-TARS Desktop v0.2.0! This update introduces two powerful new features: **Remote Computer Operator** and **Remote Browser Operator**—both completely free. No configuration required: simply click to remotely control any computer or browser, and experience a new level of convenience and intelligence. - **\[2025-04-17\]** - 🎉 We're thrilled to announce the release of new UI-TARS Desktop application v0.1.0, featuring a redesigned Agent UI. The application enhances the computer using experience, introduces new browser operation features, and supports [the advanced UI-TARS-1.5 model](https://seed-tars.com/1.5) for improved performance and precise control. - **\[2025-02-20\]** - 📦 Introduced [UI TARS SDK](./docs/sdk.md), is a powerful cross-platform toolkit for building GUI automation agents. - **\[2025-01-23\]** - 🚀 We updated the **[Cloud Deployment](./docs/deployment.md#cloud-deployment)** section in the 中文版: [GUI模型部署教程](https://bytedance.sg.larkoffice.com/docx/TCcudYwyIox5vyxiSDLlgIsTgWf#U94rdCxzBoJMLex38NPlHL21gNb) with new information related to the ModelScope platform. You can now use the ModelScope platform for deployment.
## Agent TARS

Agent TARS is a general multimodal AI Agent stack, it brings the power of GUI Agent and Vision into your terminal, computer, browser and product.

It primarily ships with a CLI and Web UI for usage. It aims to provide a workflow that is closer to human-like task completion through cutting-edge multimodal LLMs and seamless integration with various real-world MCP tools. ### Showcase ``` Please help me book the earliest flight from San Jose to New York on September 1st and the last return flight on September 6th on Priceline ``` https://github.com/user-attachments/assets/772b0eef-aef7-4ab9-8cb0-9611820539d8

Booking Hotel	Generate Chart with extra MCP Servers

Instruction: I am in Los Angeles from September 1st to September 6th, with a budget of $5,000. Please help me book a Ritz-Carlton hotel closest to the airport on booking.com and compile a transportation guide for me	Instruction: Draw me a chart of Hangzhou's weather for one month

For more use cases, please check out [#842](https://github.com/bytedance/UI-TARS-desktop/issues/842). ### Core Features - 🖱️ **One-Click Out-of-the-box CLI** - Supports both **headful** [Web UI](https://agent-tars.com/guide/basic/web-ui.html) and **headless** [server](https://agent-tars.com/guide/advanced/server.html)) [execution](https://agent-tars.com/guide/basic/cli.html). - 🌐 **Hybrid Browser Agent** - Control browsers using [GUI Agent](https://agent-tars.com/guide/basic/browser.html#visual-grounding), [DOM](https://agent-tars.com/guide/basic/browser.html#dom), or a hybrid strategy. - 🔄 **Event Stream** - Protocol-driven Event Stream drives [Context Engineering](https://agent-tars.com/beta#context-engineering) and [Agent UI](https://agent-tars.com/blog/2025-06-25-introducing-agent-tars-beta.html#easy-to-build-applications). - 🧰 **MCP Integration** - The kernel is built on MCP and also supports mounting [MCP Servers](https://agent-tars.com/guide/basic/mcp.html) to connect to real-world tools. ### Quick Start ```bash # Launch with `npx`. npx @agent-tars/cli@latest # Install globally, required Node.js >= 22 npm install @agent-tars/cli@latest -g # Run with your preferred model provider agent-tars --provider volcengine --model doubao-1-5-thinking-vision-pro-250428 --apiKey your-api-key agent-tars --provider anthropic --model claude-3-7-sonnet-latest --apiKey your-api-key ``` Visit the comprehensive [Quick Start](https://agent-tars.com/guide/get-started/quick-start.html) guide for detailed setup instructions. ### Documentation > 🌟 **Explore Agent TARS Universe** 🌟

Category	Resource Link	Description
🏠 Central Hub		Your gateway to Agent TARS ecosystem
📚 Quick Start		Zero to hero in 5 minutes
🚀 What's New		Discover cutting-edge features & vision
🛠️ Developer Zone		Master every command & features
🎯 Showcase		View use cases built by the official and community
🔧 Reference		Complete technical reference

## UI-TARS Desktop

UI-TARS Desktop is a native GUI agent for your local computer, driven by [UI-TARS](https://github.com/bytedance/UI-TARS) and Seed-1.5-VL/1.6 series models.

📑 Paper | 🤗 Hugging Face Models | 🫨 Discord | 🤖 ModelScope
🖥️ Desktop Application | 👓 Midscene (use in browser)

### Showcase | Instruction | Local Operator | Remote Operator | | :----------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------: | | Please help me open the autosave feature of VS Code and delay AutoSave operations for 500 milliseconds in the VS Code setting. | | | | Could you help me check the latest open issue of the UI-TARS-Desktop project on GitHub? | | | ### Features - 🤖 Natural language control powered by Vision-Language Model - 🖥️ Screenshot and visual recognition support - 🎯 Precise mouse and keyboard control - 💻 Cross-platform support (Windows/MacOS/Browser) - 🔄 Real-time feedback and status display - 🔐 Private and secure - fully local processing ### Quick Start See [Quick Start](./docs/quick-start.md) ## Contributing See [CONTRIBUTING.md](./CONTRIBUTING.md). ## License This project is licensed under the Apache License 2.0. ## Citation If you find our paper and code useful in your research, please consider giving a star :star: and citation :pencil: ```BibTeX @article{qin2025ui, title={UI-TARS: Pioneering Automated GUI Interaction with Native Agents}, author={Qin, Yujia and Ye, Yining and Fang, Junjie and Wang, Haoming and Liang, Shihao and Tian, Shizuo and Zhang, Junda and Li, Jiahao and Li, Yunxin and Huang, Shijue and others}, journal={arXiv preprint arXiv:2501.12326}, year={2025} } ```

likec4/likec4

Sat, 07 Feb 2026 00:07:27 GMT

likec4/likec4

Visualize, collaborate, and evolve the software architecture with always actual and live diagrams from your code

Language: TypeScript

Stars: 1,804

Forks: 136

Stars today: 40 stars today

README

# Architecture as a code

Visualize, collaborate on, and evolve your software architecture with always up-to-date, live diagrams generated from your code.

[docs](https://likec4.dev/) - [playground](https://playground.likec4.dev/) - [demo](https://template.likec4.dev/view/index)

 ![NPM Version](https://img.shields.io/npm/v/likec4) 
![NPM Downloads](https://img.shields.io/npm/dm/likec4)
![VSCode Installs](https://img.shields.io/visual-studio-marketplace/azure-devops/installs/total/likec4.likec4-vscode?label=vscode%20installs)
![Open VSX Installs](https://img.shields.io/open-vsx/dt/likec4/likec4-vscode?label=open-vsx&color=%23A60EE5)

![vscode extension](https://github.com/likec4/likec4/assets/824903/d6994540-55d1-4167-b66b-45056754cc29)

## What is LikeC4? Why "like"?

LikeC4 is a modeling language for describing software architecture and tools to generate diagrams from the model.

LikeC4 is inspired by [C4 Model](https://c4model.com/) and [Structurizr DSL](https://github.com/structurizr/dsl), but provides some flexibility.
You customize or define your own notation, element types, and any number of nested levels in architecture model.\
Perfectly tailored to your needs.

## What does LikeC4 look like?

LikeC4 source:


  


Run [CLI](./packages/likec4/README.md) to preview:

```sh
npx likec4 start
```

And result:


  


Template repository - [likec4/template](https://github.com/likec4/template)\
Deployed - [https://template.likec4.dev](https://template.likec4.dev/view/index)

[![Open in StackBlitz](https://developer.stackblitz.com/img/open_in_stackblitz.svg)](https://stackblitz.com/~/github.com/likec4/template)

Check [Tutorial](https://likec4.dev/tutorial/) - for a quick overview of LikeC4.

## Getting help

We are always happy to help you get started:

- [Join Discord community](https://discord.gg/86ZSpjKAdA) – it is the easiest way to get help
- [GitHub Discussions](https://github.com/likec4/likec4/discussions) – ask anything about the project or give feedback

## Contributors


  


[Become a contributor](./CONTRIBUTING.md)

## Support development

LikeC4 is a MIT-licensed open source project with its ongoing development made possible entirely by your support.\
If you like the project, please consider contributing financially to help grow and improve it.\
You can support us via [OpenCollective](https://opencollective.com/likec4) or [GitHub Sponsors](https://github.com/sponsors/likec4).

## License

This project is released under the [MIT License](LICENSE)

thedotmack/claude-mem

Sat, 07 Feb 2026 00:07:26 GMT

thedotmack/claude-mem

A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.

Language: TypeScript

Stars: 24,298

Forks: 1,601

Stars today: 799 stars today

README

Official $CMEM Links: Bags.fm • Jupiter • Photon • DEXScreener

Official CA: 2TsmuYUrsctE57VLckZBYEEzdokUF8j8e1GavekWBAGS (on Solana)

🇨🇳 中文 • 🇹🇼 繁體中文 • 🇯🇵 日本語 • 🇧🇷 Português • 🇰🇷 한국어 • 🇪🇸 Español • 🇩🇪 Deutsch • 🇫🇷 Français 🇮🇱 עברית • 🇸🇦 العربية • 🇷🇺 Русский • 🇵🇱 Polski • 🇨🇿 Čeština • 🇳🇱 Nederlands • 🇹🇷 Türkçe • 🇺🇦 Українська • 🇻🇳 Tiếng Việt • 🇮🇩 Indonesia • 🇹🇭 ไทย • 🇮🇳 हिन्दी • 🇧🇩 বাংলা • 🇵🇰 اردو • 🇷🇴 Română • 🇸🇪 Svenska • 🇮🇹 Italiano • 🇬🇷 Ελληνικά • 🇭🇺 Magyar • 🇫🇮 Suomi • 🇩🇰 Dansk • 🇳🇴 Norsk

Persistent memory compression system built for Claude Code.

Quick Start • How It Works • Search Tools • Documentation • Configuration • Troubleshooting • License

Claude-Mem seamlessly preserves context across sessions by automatically capturing tool usage observations, generating semantic summaries, and making them available to future sessions. This enables Claude to maintain continuity of knowledge about projects even after sessions end or reconnect.

Zerobyte

Powerful backup automation for your remote storage
Encrypt, compress, and protect your data with ease

Backup management with scheduling and monitoring

> [!WARNING] > Zerobyte is still in version 0.x.x and is subject to major changes from version to version. I am developing the core features and collecting feedbacks. Expect bugs! Please open issues or feature requests

SigNoz

All your logs, metrics, and traces in one place. Monitor your application, spot issues before they occur and troubleshoot downtime quickly with rich context. SigNoz is a cost-effective open-source alternative to Datadog and New Relic. Visit signoz.io for the full documentation, tutorials, and guide.

Documentation • ReadMe in Chinese • ReadMe in German • ReadMe in Portuguese • Slack Community • Twitter

## Features ### Application Performance Monitoring Use SigNoz APM to monitor your applications and services. It comes with out-of-box charts for key application metrics like p99 latency, error rate, Apdex and operations per second. You can also monitor the database and external calls made from your application. Read [more](https://signoz.io/application-performance-monitoring/). You can [instrument](https://signoz.io/docs/instrumentation/) your application with OpenTelemetry to get started. ![apm-cover](https://github.com/user-attachments/assets/fa5c0396-0854-4c8b-b972-9b62fd2a70d2) ### Logs Management SigNoz can be used as a centralized log management solution. We use ClickHouse (used by likes of Uber & Cloudflare) as a datastore, ⎯ an extremely fast and highly optimized storage for logs data. Instantly search through all your logs using quick filters and a powerful query builder. You can also create charts on your logs and monitor them with customized dashboards. Read [more](https://signoz.io/log-management/). ![logs-management-cover](https://github.com/user-attachments/assets/343588ee-98fb-4310-b3d2-c5bacf9c7384) ### Distributed Tracing Distributed Tracing is essential to troubleshoot issues in microservices applications. Powered by OpenTelemetry, distributed tracing in SigNoz can help you track user requests across services to help you identify performance bottlenecks. See user requests in a detailed breakdown with the help of Flamegraphs and Gantt Charts. Click on any span to see the entire trace represented beautifully, which will help you make sense of where issues actually occurred in the flow of requests. Read [more](https://signoz.io/distributed-tracing/). ![distributed-tracing-cover](https://github.com/user-attachments/assets/9bfe060a-0c40-4922-9b55-8a97e1a4076c) ### Metrics and Dashboards Ingest metrics from your infrastructure or applications and create customized dashboards to monitor them. Create visualization that suits your needs with a variety of panel types like pie chart, time-series, bar chart, etc. Create queries on your metrics data quickly with an easy-to-use metrics query builder. Add multiple queries and combine those queries with formulae to create really complex queries quickly. Read [more](https://signoz.io/metrics-and-dashboards/). ![metrics-n-dashboards-cover](https://github.com/user-attachments/assets/a536fd71-1d2c-4681-aa7e-516d754c47a5) ### LLM Observability Monitor and debug your LLM applications with comprehensive observability. Track LLM calls, analyze token usage, monitor performance, and gain insights into your AI application's behavior in production. SigNoz LLM observability helps you understand how your language models are performing, identify issues with prompts and responses, track token usage and costs, and optimize your AI applications for better performance and reliability. [Get started with LLM Observability →](https://signoz.io/docs/llm-observability/) ![llm-observability-cover](https://github.com/user-attachments/assets/a6cc0ca3-59df-48f9-9c16-7c843fccff96) ### Alerts Use alerts in SigNoz to get notified when anything unusual happens in your application. You can set alerts on any type of telemetry signal (logs, metrics, traces), create thresholds and set up a notification channel to get notified. Advanced features like alert history and anomaly detection can help you create smarter alerts. Alerts in SigNoz help you identify issues proactively so that you can address them before they reach your customers. Read [more](https://signoz.io/alerts-management/). ![alerts-cover](https://github.com/user-attachments/assets/03873bb8-1b62-4adf-8f56-28bb7b1750ea) ### Exceptions Monitoring Monitor exceptions automatically in Python, Java, Ruby, and Javascript. For other languages, just drop in a few lines of code and start monitoring exceptions. See the detailed stack trace for all exceptions caught in your application. You can also log in custom attributes to add more context to your exceptions. For example, you can add attributes to identify users for which exceptions occurred. Read [more](https://signoz.io/exceptions-monitoring/). ![exceptions-cover](https://github.com/user-attachments/assets/4be37864-59f2-4e8a-8d6e-e29ad04298c5)

## Why SigNoz? SigNoz is a single tool for all your monitoring and observability needs. Here are a few reasons why you should choose SigNoz: - Single tool for observability(logs, metrics, and traces) - Built on top of [OpenTelemetry](https://opentelemetry.io/), the open-source standard which frees you from any type of vendor lock-in - Correlated logs, metrics and traces for much richer context while debugging - Uses ClickHouse (used by likes of Uber & Cloudflare) as datastore - an extremely fast and highly optimized storage for observability data - DIY Query builder, PromQL, and ClickHouse queries to fulfill all your use-cases around querying observability data - Open-Source - you can use open-source, our [cloud service](https://signoz.io/teams/) or a mix of both based on your use case ## Getting Started ### Create a SigNoz Cloud Account SigNoz cloud is the easiest way to get started with SigNoz. Our cloud service is for those users who want to spend more time in getting insights for their application performance without worrying about maintenance. [Get started for free](https://signoz.io/teams/) ### Deploy using Docker(self-hosted) Please follow the steps listed [here](https://signoz.io/docs/install/docker/) to install using docker The [troubleshooting instructions](https://signoz.io/docs/install/troubleshooting/) may be helpful if you face any issues.

### Deploy in Kubernetes using Helm(self-hosted) Please follow the steps listed [here](https://signoz.io/docs/deployment/helm_chart) to install using helm charts

We also offer managed services in your infra. Check our [pricing plans](https://signoz.io/pricing/) for all details. ## Join our Slack community Come say Hi to us on [Slack](https://signoz.io/slack) 👋

### Languages supported: SigNoz supports all major programming languages for monitoring. Any framework and language supported by OpenTelemetry is supported by SigNoz. Find instructions for instrumenting different languages below: - [Java](https://signoz.io/docs/instrumentation/java/) - [Python](https://signoz.io/docs/instrumentation/python/) - [Node.js or Javascript](https://signoz.io/docs/instrumentation/javascript/) - [Go](https://signoz.io/docs/instrumentation/golang/) - [PHP](https://signoz.io/docs/instrumentation/php/) - [.NET](https://signoz.io/docs/instrumentation/dotnet/) - [Ruby](https://signoz.io/docs/instrumentation/ruby-on-rails/) - [Elixir](https://signoz.io/docs/instrumentation/elixir/) - [Rust](https://signoz.io/docs/instrumentation/rust/) - [Swift](https://signoz.io/docs/instrumentation/swift/) You can find our entire documentation [here](https://signoz.io/docs/introduction/).

## Comparisons to Familiar Tools ### SigNoz vs Prometheus Prometheus is good if you want to do just metrics. But if you want to have a seamless experience between metrics, logs and traces, then current experience of stitching together Prometheus & other tools is not great. SigNoz is a one-stop solution for metrics and other telemetry signals. And because you will use the same standard(OpenTelemetry) to collect all telemetry signals, you can also correlate these signals to troubleshoot quickly. For example, if you see that there are issues with infrastructure metrics of your k8s cluster at a timestamp, you can jump to other signals like logs and traces to understand the issue quickly.

### SigNoz vs Jaeger Jaeger only does distributed tracing. SigNoz supports metrics, traces and logs - all the 3 pillars of observability. Moreover, SigNoz has few more advanced features wrt Jaeger: - Jaegar UI doesn’t show any metrics on traces or on filtered traces - Jaeger can’t get aggregates on filtered traces. For example, p99 latency of requests which have tag - customer_type='premium'. This can be done easily on SigNoz - You can also go from traces to logs easily in SigNoz

### SigNoz vs Elastic - SigNoz Logs management are based on ClickHouse, a columnar OLAP datastore which makes aggregate log analytics queries much more efficient - 50% lower resource requirement compared to Elastic during ingestion We have published benchmarks comparing Elastic with SigNoz. Check it out [here](https://signoz.io/blog/logs-performance-benchmark/?utm_source=github-readme&utm_medium=logs-benchmark)

### SigNoz vs Loki - SigNoz supports aggregations on high-cardinality data over a huge volume while loki doesn’t. - SigNoz supports indexes over high cardinality data and has no limitations on the number of indexes, while Loki reaches max streams with a few indexes added to it. - Searching over a huge volume of data is difficult and slow in Loki compared to SigNoz We have published benchmarks comparing Loki with SigNoz. Check it out [here](https://signoz.io/blog/logs-performance-benchmark/?utm_source=github-readme&utm_medium=logs-benchmark)

## Contributing We ❤️ contributions big or small. Please read [CONTRIBUTING.md](CONTRIBUTING.md) to get started with making contributions to SigNoz. Not sure how to get started? Just ping us on `#contributing` in our [slack community](https://signoz.io/slack) ### Project maintainers #### Backend - [Ankit Nayan](https://github.com/ankitnayan) - [Nityananda Gohain](https://github.com/nityanandagohain) - [Srikanth Chekuri](https://github.com/srikanthccv) - [Vishal Sharma](https://github.com/makeavish) - [Shivanshu Raj Shrivastava](https://github.com/shivanshuraj1333) - [Ekansh Gupta](https://github.com/eKuG) - [Aniket Agarwal](https://github.com/aniketio-ctrl) #### Frontend - [Yunus M](https://github.com/YounixM) - [Vikrant Gupta](https://github.com/vikrantgupta25) - [Sagar Rajput](https://github.com/SagarRajput-7) - [Shaheer Kochai](https://github.com/ahmadshaheer) - [Amlan Kumar Nandy](https://github.com/amlannandy) - [Sahil Khan](https://github.com/sawhil) - [Aditya Singh](https://github.com/aks07) - [Abhi Kumar](https://github.com/ahrefabhi) #### DevOps - [Prashant Shahi](https://github.com/prashant-shahi) - [Vibhu Pandey](https://github.com/therealpandey)

## Documentation You can find docs at https://signoz.io/docs/. If you need any clarification or find something missing, feel free to raise a GitHub issue with the label `documentation` or reach out to us at the community slack channel.

## Community Join the [slack community](https://signoz.io/slack) to know more about distributed tracing, observability, or SigNoz and to connect with other users and contributors. If you have any ideas, questions, or any feedback, please share on our [Github Discussions](https://github.com/SigNoz/signoz/discussions) As always, thanks to our amazing contributors!

backstage/backstage

Sat, 07 Feb 2026 00:07:15 GMT

backstage/backstage

Backstage is an open framework for building developer portals

Language: TypeScript

Stars: 32,507

Forks: 7,078

Stars today: 10 stars today

README

[![headline](docs/assets/headline.png)](https://backstage.io/)

# [Backstage](https://backstage.io)

English \| [한국어](README-ko_kr.md) \| [中文版](README-zh_Hans.md) \| [Français](README-fr_FR.md)

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![CNCF Status](https://img.shields.io/badge/cncf%20status-incubation-blue.svg)](https://www.cncf.io/projects)
[![Discord](https://img.shields.io/discord/687207715902193673?logo=discord&label=Discord&color=5865F2&logoColor=white)](https://discord.gg/backstage-687207715902193673)
![Code style](https://img.shields.io/badge/code_style-prettier-ff69b4.svg)
[![Codecov](https://img.shields.io/codecov/c/github/backstage/backstage)](https://codecov.io/gh/backstage/backstage)
[![](https://img.shields.io/github/v/release/backstage/backstage)](https://github.com/backstage/backstage/releases)
[![OpenSSF Best Practices](https://bestpractices.coreinfrastructure.org/projects/7678/badge)](https://bestpractices.coreinfrastructure.org/projects/7678)
[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/backstage/backstage/badge)](https://securityscorecards.dev/viewer/?uri=github.com/backstage/backstage)

## What is Backstage?

[Backstage](https://backstage.io/) is an open source framework for building developer portals. Powered by a centralized software catalog, Backstage restores order to your microservices and infrastructure and enables your product teams to ship high-quality code quickly without compromising autonomy.

Backstage unifies all your infrastructure tooling, services, and documentation to create a streamlined development environment from end to end.

![software-catalog](docs/assets/header.png)

Out of the box, Backstage includes:

- [Backstage Software Catalog](https://backstage.io/docs/features/software-catalog/) for managing all your software such as microservices, libraries, data pipelines, websites, and ML models
- [Backstage Software Templates](https://backstage.io/docs/features/software-templates/) for quickly spinning up new projects and standardizing your tooling with your organization’s best practices
- [Backstage TechDocs](https://backstage.io/docs/features/techdocs/) for making it easy to create, maintain, find, and use technical documentation, using a "docs like code" approach
- Plus, a growing ecosystem of [open source plugins](https://github.com/backstage/backstage/tree/master/plugins) that further expand Backstage’s customizability and functionality

Backstage was created by Spotify but is now hosted by the [Cloud Native Computing Foundation (CNCF)](https://www.cncf.io) as an Incubation level project. For more information, see the [announcement](https://backstage.io/blog/2022/03/16/backstage-turns-two#out-of-the-sandbox-and-into-incubation).

## Project roadmap

For information about the detailed project roadmap including delivered milestones, see [the Roadmap](https://backstage.io/docs/overview/roadmap).

## Getting Started

To start using Backstage, see the [Getting Started documentation](https://backstage.io/docs/getting-started).

## Documentation

The documentation of Backstage includes:

- [Main documentation](https://backstage.io/docs)
- [Software Catalog](https://backstage.io/docs/features/software-catalog/)
- [Architecture](https://backstage.io/docs/overview/architecture-overview) ([Decisions](https://backstage.io/docs/architecture-decisions/))
- [Designing for Backstage](https://backstage.io/docs/dls/design)
- [Storybook - UI components](https://backstage.io/storybook)

## Community

To engage with our community, you can use the following resources:

- [Discord chatroom](https://discord.gg/backstage-687207715902193673) - Get support or discuss the project
- [Contributing to Backstage](https://github.com/backstage/backstage/blob/master/CONTRIBUTING.md) - Start here if you want to contribute
- [RFCs](https://github.com/backstage/backstage/labels/rfc) - Help shape the technical direction
- [FAQ](https://backstage.io/docs/faq) - Frequently Asked Questions
- [Code of Conduct](CODE_OF_CONDUCT.md) - This is how we roll
- [Adopters](ADOPTERS.md) - Companies already using Backstage
- [Blog](https://backstage.io/blog/) - Announcements and updates
- [Newsletter](https://spoti.fi/backstagenewsletter) - Subscribe to our email newsletter
- [Backstage Community Sessions](https://github.com/backstage/community) - Join monthly meetups and explore Backstage community
- Give us a star ⭐️ - If you are using Backstage or think it is an interesting project, we would love a star ❤️

## Governance

See the [GOVERNANCE.md](https://github.com/backstage/community/blob/main/GOVERNANCE.md) document in the [backstage/community](https://github.com/backstage/community) repository.

## License

Copyright 2020-2026 © The Backstage Authors. All rights reserved. The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page: https://www.linuxfoundation.org/trademark-usage

Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0

## Security

Please report sensitive security issues using Spotify's [bug-bounty program](https://hackerone.com/spotify) rather than GitHub.

For further details, see our complete [security release process](SECURITY.md).

_{Sagar Soni} 💻	_{Sahil Gupta} 💻	_{Vaibhav Nigam} 💻	_{Parth Bhardwaj} 💻	_{Rohan Mathur} 💻	_{Nafees Nehar} 💻	_{Navdeep Singh Rathore} 💻
_{Sachin Jain} 💻	_{ashishsangle707} 📆	_{Shrey Gupta} 💻 📆	_{Charanaraj N} 💻	_{Muhammad-Daniyal-Jawad1} 💻	_{PIYUSH NEGI} 💻

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