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Showing 10 results from 15,588
rocketride-org/rocketride-server
GitHub Python MIT LicenseHigh-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
External source
GitHub
Avaiga/taipy
GitHub Python Apache License 2.0Turns Data and AI algorithms into production-ready web applications in no time.
External source
GitHub
spotify/luigi
GitHub Python Apache License 2.0Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
External source
GitHub
windmill-labs/windmill
GitHub Rust OtherCode-first platform for workflows, apps and AI agents, on the fastest self-hostable orchestrator (benchmarked against Airflow, Prefect and Temporal). Business teams build with AI, engineers control what ships. Open-source alternative to Lovable, Retool and n8n.
External source
GitHub
google/web-starter-kit
GitHub HTML Apache License 2.0Web Starter Kit - a workflow for multi-device websites
External source
GitHub
microsoft/mcp-for-beginners
GitHub Jupyter Notebook MIT LicenseThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI wor... Read more
External source
GitHub
composio-community/awesome-codex-skills
GitHub PythonA curated list of practical Codex skills for automating workflows across the Codex CLI and API.
External source
GitHub
argoproj/argo-workflows
GitHub Go Apache License 2.0Workflow Engine for Kubernetes
External source
GitHub
google/artemis
GitHub Python Apache License 2.0ARTEMIS turns natural-language instructions into reliable Android automation. It automates end-to-end workflows, captures logs, and integrates seamlessly with AI coding assistants such as Antigravity, Codex, and Claude Code. It also achieves 99%+ success rate on AndroidWorld Benchmark.
External source
GitHub
triggerdotdev/trigger.dev
GitHub TypeScript Apache License 2.0Trigger.dev โ build and deploy durable AI agents and workflows
External source
GitHub
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