Graph Compose – Temporal workflows with visual builder, SDK, and AI
Hey HN. Graph Compose is a hosted platform for orchestrating API workflows on Temporal. You define workflows as graphs of nodes (HTTP calls, AI agents, iterators, error boundaries) and everything runs as a durable Temporal workflow under the hood. Three ways to build the same graph: a React Flow visual builder, a typed TypeScript SDK (@graph-compose/client), and an AI assistant that turns plain English into a graph. Open-core: the execution foundations and integrations service are AGPL-3.0. The platform orchestrator, visual builder, and AI assistant are proprietary. Longer backstory on…
Graph Compose – Temporal workflows with visual builder, SDK, and AI launched on April 21, 2026 with 13 votes, #1,135 of 21,248 launches that month and more than 90% of that year's launches.
In plain words
Graph Compose is a hosted platform for building and running API workflows using Temporal as the underlying execution engine. Users define workflows as visual graphs containing nodes for HTTP calls, AI agents, iterators, and error handling. The platform offers three ways to create the same workflow: a visual builder using React Flow, a typed TypeScript SDK, or an AI assistant that converts plain English descriptions into executable graphs. The execution layer and integrations are open-source under AGPL-3.0, while the orchestrator, builder interface, and AI components are proprietary.
written from the facts on this page · September 2026
From the sources
Build, orchestrate, and monitor complex API workflows effortlessly with Graph Compose. The developer-first, Temporal-powered platform for resilient, zero-deployment automation. Features TypeScript SDK, Visual Builder, AI assistance & more.
Keep your existing HTTP services. Define how they connect as a JSON graph, build it visually, or let AI generate it . Submit via API and it runs instantly on hosted Temporal with automatic retries, durable state, and error boundaries . No Temporal cluster to run. No workers to deploy. No build step. Just workflows that execute on demand. Your APIs already exist. Define how they connect as a workflow graph, whether hand-crafted, AI-generated, or built visually. Submit it via API and it runs immediately on hosted Temporal. No deploy step, no infrastructure to manage. Graph Compose handles scheduling, retries, error boundaries, and state persistence. Every Graph Compose workflow is a JSON…from graphcompose.io
In the maker’s words, at launch
Hey HN. Graph Compose is a hosted platform for orchestrating API workflows on Temporal. You define workflows as graphs of nodes (HTTP calls, AI agents, iterators, error boundaries) and everything runs as a durable Temporal workflow under the hood. Three ways to build the same graph: a React Flow visual builder, a…
Does a similar job
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Flow – A dynamic task engine for building AI agents2024 · github.com · ▲160I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…
React Flow – library for creating node based editors and apps2021 · github.com · ▲224React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable. - xyflow/xyflow
GraphFlow – A lightweight Rust framework for multi-agent orchestration2025 · github.com · ▲10It all started with a conversation among friends about limitations in current multi-agent orchestration frameworks. We faced issues like limited control over agent memory and state, complicated persistence, scaling problems, and lack of type safety in Python-based tools. These challenges inspired us to try something different. The result was GraphFlow, a Rust-based lean framework for orchestrating multi-agent workflows that's simple, scalable, and robust. Its key features include: Graph-based orchestration: Easily define workflows using nodes and edges. Lean Execution Engine: A minimal and…
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