Sourcify
Effortlessly find and manage open-source dependencies for your projects.

The serverless integration platform for developers to build AI-driven workflows with code-level control.

Pipedream is a developer-centric integration platform that provides a serverless runtime for connecting APIs and AI models. By 2026, it has solidified its position as the premier orchestrator for AI agents and RAG (Retrieval-Augmented Generation) pipelines. Unlike traditional no-code tools, Pipedream treats code as a first-class citizen, allowing users to write Node.js, Python, Golang, or Bash scripts directly within any workflow step. This architecture enables highly complex logic, such as custom data transformations, multi-step LLM reasoning, and state management via built-in Data Stores. The platform handles managed OAuth for over 2,200 integrations, abstracting the complexities of authentication while providing a high-concurrency execution environment. Its 2026 market position is defined by its 'Compute-as-a-Service' model for AI, where it serves as the glue between vector databases, LLM providers (OpenAI, Anthropic, DeepSeek), and downstream enterprise applications. For AI architects, Pipedream offers the precision of a custom-built backend with the speed of a pre-integrated ecosystem, making it the go-to choice for production-grade AI automation.
Pipedream is a developer-centric integration platform that provides a serverless runtime for connecting APIs and AI models.
Explore all tools that specialize in orchestrate ai agents. This domain focus ensures Pipedream delivers optimized results for this specific requirement.
Explore all tools that specialize in ai agent orchestration. This domain focus ensures Pipedream delivers optimized results for this specific requirement.
Execute Node.js, Python, Go, or Bash in a managed environment with integrated NPM and PyPi support.
Handles token refresh and secure credential storage for over 2,200 applications.
Built-in key-value storage accessible via API or code steps to maintain state across executions.
Advanced listeners that poll APIs or receive webhooks to trigger workflows instantly.
Automatically captures data from every step to be used as JSON inputs in subsequent steps.
Programmable error-handling steps that allow for retries or alternative logic paths.
Secure storage for secrets and configuration accessible via `process.env` or `os.environ`.
Create a free account at pipedream.com and verify your developer profile.
Initialize a new 'Project' to group related workflows and environment variables.
Select a Trigger, such as an HTTP Webhook, a Schedule (Cron), or an app-specific event like a New Stripe Charge.
Authenticate third-party apps using Pipedream's managed OAuth provider (e.g., connect OpenAI and Slack).
Add a 'Code Step' to the workflow to write custom logic in Node.js or Python.
Import the @pipedream/platform SDK to interact with step exports and managed auth tokens.
Utilize 'Data Stores' to persist state across different workflow executions (crucial for AI memory).
Use the 'Step-by-Step' debugger to test the workflow with real-time event data.
Deploy the workflow to the Pipedream production environment with auto-scaling capabilities.
Set up monitoring alerts and inspect execution logs for performance optimization.
All Set
Ready to go
Verified feedback from other users.
"Highly praised by developers for its flexibility and the ability to write actual code rather than dragging blocks. Users value the extensive pre-built integration library."
Post questions, share tips, and help other users.
Effortlessly find and manage open-source dependencies for your projects.

End-to-end typesafe APIs made easy.

Page speed monitoring with Lighthouse, focusing on user experience metrics and data visualization.

Topcoder is a pioneer in crowdsourcing, connecting businesses with a global talent network to solve technical challenges.

Explore millions of Discord Bots and Discord Apps.

Build internal tools 10x faster with an open-source low-code platform.

Open-source RAG evaluation tool for assessing accuracy, context quality, and latency of RAG systems.

AI-powered synthetic data generation for software and AI development, ensuring compliance and accelerating engineering velocity.