Kestra

n8n

Fair-code workflow automation for developers

n8n is an extendable workflow automation tool enabling users to integrate various data layers via native node APIs. It offers extreme flexibility with both hosted cloud and self-hostable options.

Browser Use

Open-source web browsing AI agent for Python & LangChain

Browser Use is an open-source Python library that connects LLMs to browser automation pipelines, enabling AI agents to navigate websites, interact with dynamic DOM elements, bypass multi-step forms, and extract structured data autonomously. Built on top of Playwright and LangChain, it provides vision-augmented element detection and deterministic state tracking. Unlike traditional headless scrapers, Browser Use feeds DOM tree snapshots and viewport screenshots to multimodal models like Claude 3.7 Sonnet or GPT-4o, allowing agents to understand complex UI layouts, handle popups, solve interactive workflows, and execute sequential tasks in plain English.

MeetStream AI

Unified meeting bot API and real-time audio/video infrastructure.

MeetStream AI is a cloud infrastructure platform and unified REST/WebSocket API that enables engineering teams to deploy intelligent meeting bots across Zoom, Google Meet, Microsoft Teams, and Webex. Instead of managing complex headless browser clusters, audio capture pipelines, and conferencing lobby bypasses, developers use MeetStream to send bots into meetings with a single API call.

vLLM

High-throughput and memory-efficient LLM serving engine powered by PagedAttention.

vLLM is the industry-standard open-source LLM serving and inference engine designed for ultra-high throughput and minimal memory waste. Developed by UC Berkeley researchers, vLLM introduced PagedAttention—a revolutionary memory management algorithm that manages attention key-value (KV) cache like virtual memory in operating systems, virtually eliminating memory fragmentation. Capable of delivering 2x to 4x higher throughput than Hugging Face TGI and standard PyTorch runtimes, vLLM powers production AI inference infrastructure across enterprise cloud clusters and high-volume API providers worldwide.

Smolagents

Lightweight, code-first multi-agent framework by Hugging Face

Smolagents is an ultra-lightweight, code-first Python framework created by Hugging Face for building, orchestrating, and executing autonomous AI agents in minimal lines of code. Rejecting the bloated, multi-layered abstractions of legacy agent libraries, Smolagents emphasizes 'Code Agents'—agents that express their reasoning and tool actions directly in executable Python code rather than rigid JSON string payloads. By letting LLMs write executable Python logic, Smolagents achieves vastly superior composability for data manipulation, mathematical operations, and complex loops while cutting prompt token overhead by up to 30%.

Modal Labs

Serverless cloud for AI models, batch jobs, and GPU workloads in Python

Modal Labs is a high-performance serverless cloud platform that enables AI engineers and developers to run Python code in the cloud with instant access to thousands of CPUs, GPUs, and persistent network volumes. Founded by former Spotify CTO Erik Bernhardsson, Modal reimagines cloud computing with sub-second cold starts and zero infrastructure configuration. With Modal, you define your container image, dependencies, and GPU hardware directly inside standard Python code using simple decorators (e.g. `@app.function(gpu="H100")`). Modal handles container building, volume mounting, GPU scheduling, and automatic scaling down to zero in milliseconds, making it the premier choice for running generative AI models, ComfyUI video pipelines, and massive parallel batch jobs.