workflow-automation

Flow-Like: Strongly Typed Enterprise Scale Workflows. Built for scalability, speed, seamless AI integration and rich customization.

Temporal Rust & Core SDKs

Build automated workflows, apps, and AI agents with WOML

AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).

A small, provider-neutral agent harness written in Rust

Automatically commit all edits to a wip branch with ChatGPT commit messages

Intent as Code: say what you want done, keep it as a file. Checked before it runs, run with the model you choose, proven afterwards. Rust engine, CLI/TUI and TypeScript SDK. AGPL-3.0 🦋

Nuphus — 本地优先的 AI Agent：真实桌面执行力 + 手机第二块屏幕。Local-first AI agent with real desktop execution and dual-device real-time sync.

Workflow builder for coding agents 🐶

Open-source Agentic workflows built using Rust

Sayiir: simple, embeddable durable workflow engine in Rust with Node.js & Python bindings. Checkpoint-based recovery, no deterministic replay. A simplified alternative to Temporal, Restate, and Airflow.

Manage upto 1000 agents using automations and workflows

Database-Backed Durable Rust Workflows

Open-source visual flow engine for workflow automation, AI pipelines, and IoT - built with Rust + React. Self-hosted alternative to n8n and Node-RED.

Build micro-vertical AI products with memory, workflows, human approvals, and governed improvement. The open-source engine behind every Areev Store product.

Build local-first desktop workflow tools with TypeScript, embedded SQLite, consent-scoped files, and native installers—without owning a Rust backend.

Open-source agentic software development platform for building, orchestrating and monitoring autonomous AI coding agents.

Flow function examples for flows.network

Workflow transpilation and execution framework - import LangChain, Airflow, GitHub Actions, Kubernetes, Docker Compose

Multiplayer harness where humans and AI agents work together and build on shared context.