nangohq/nango

Build product integrations with AI.

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Summary Information

Updated 4 minutes ago
Added to GitGenius on September 5th, 2026
Created on April 9th, 2020
Open Issues & Pull Requests: 127 (+1)
GitHub issues: Enabled
Number of forks: 1,294
Total Stargazers: 11,761 (+0)
Total Subscribers: 37 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.0 days
Mean response time: 53.7 days
90th percentile: 122.8 days
Tracked items: 113

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 11% of issues opened in the past year have been closed. Three people close 59% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 31
New in 7 days: 5
Closed in 7 days: 5
Avg open age: 48 days
Stale 30+ days: 7
Stale 90+ days: 1

Recent activity

Opened in 7 days: 4
Closed in 7 days: 5
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • Stale (59)
  • GitHub (11)
  • Product (3)
  • wontfix (3)
  • Provider Authorization (2)
  • Eng (1)
  • Later (1)
  • Roadmap (1)

Detailed Description

Nango is an open-source platform for building product integrations that connects applications and AI agents with over 900 APIs through managed authentication, request proxying, and serverless functions.

The platform addresses the complexity of integrating multiple external APIs by providing three core primitives. Auth handles OAuth, API keys, and token refresh across supported providers, with a white-label flow that can be embedded in applications. The Proxy primitive allows authenticated API requests on behalf of users, managing credential injection, retries, and rate limiting. Functions let developers write integration logic as TypeScript code deployed to Nango's runtime, with the option to generate functions via AI from use-case descriptions. This approach eliminates the need to build authentication flows, manage credentials, handle scaling, or maintain observability infrastructure separately.

Nango suits teams building multi-API integrations, AI tool calling systems, data syncing pipelines, webhook processing, or API unification layers. It works with any backend language and integrates with AI coding tools and agent SDKs. The platform is particularly valuable for products that need to support integrations across many customer-specific APIs without maintaining separate integration code for each one. Developers can start with a free account and embed authentication flows directly into their applications.

The project maintains active development with regular updates to its integration library and platform capabilities. The codebase is written in TypeScript and actively maintained with ongoing improvements to the runtime, proxy, and function execution systems. The project sustains a public community presence through documentation and community channels, indicating ongoing engagement with users building integrations.