langflow-ai/langflow
Langflow is a powerful open-source platform for building, testing, and deploying AI-powered agents and workflows with visual authoring, multi-agent orchestration, and API integration capabilities.
Awesome AI Agents › AI Workflow Orchestrators
bubblelabai/BubbleLab
BubbleLab is the open-core workflow execution engine that powers Bubble Lab, a Slack-native AI operator platform whose assistant, Pearl, runs workflows and reaches internal systems on request. The repository contains the same engine the hosted product uses, and it can be run, hosted and extended independently of the platform. What ships in the repository is the workflow execution runtime, agent and integration primitives called Bubbles, a local workflow studio for building and editing flows, execution tracing and logging for observability, CLI tooling, and exportable workflows that can be deployed elsewhere or embedded in another product. Workflows are written as TypeScript classes extending BubbleFlow, parameterised by a trigger type such as a webhook, with a handle() method that receives the payload. Inside a flow, work is composed from Bubble objects: tool bubbles such as RedditScrapeTool that fetch external data, and AIAgentBubble which sends a prompt to a configured model and returns its response, so a typical scrape-then-summarise pipeline fits in about fifty lines. Local setup is two commands with pnpm, after which Bubble Studio serves on localhost:3000 for building and running flows in the browser. A scaffolding command, npx create-bubblelab-app, generates a new project with TypeScript configured, the core packages and runtime installed, and sample templates such as a basic flow or a Reddit scraper. Model access requires an API key; Gemini is the default generator for authoring flows with the AI assistant, and code edits use fast find-and-replace. The project positions itself for teams already on the hosted platform, developers who want full control over workflow execution, organisations requiring self-hosted automation infrastructure, and engineers writing custom agents or integrations. It is Apache 2.0 licensed with documentation at docs.bubblelab.ai.
https://github.com/bubblelabai/BubbleLab
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