Velane
n8n is built for humans dragging nodes on a canvas. That breaks down at B2B scale (embedding in a product, multi-tenant scalability, etc). n8n does have an MCP server so agents can create workflows too, but it outputs raw JSON. That's fine for n8n's engine, but painful for a coding agent (or a human reviewing its output) to read, write, diff, or debug. I'm building an alternative where workflows are authored by a coding agent in [a more dev-legible format] instead of JSON blobs, and execute it at scale.
Velane launched on July 25, 2026 with 95 votes, #451 of 24,623 launches that month and more than 95% of that year's launches.
What it does
Velane is the one platform for your AI Agent's tools and function. It is agent first, and fully controlled by your AI Agent (Claude, Codex, Cursor,..) It has: 1. Code Sandbox (with 0 cold start) 2. Version Control 3. Enviroments (dev, staging, prod) 4. 800+ Integrations (it replaces your iPaaS)
Deploy agents, APIs, and small software with version control, managed environments, secrets, zero-cold-start secure sandboxes, and 800+ integrations, all within your cloud.
Does a similar job
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n8n AI Workflow Builder2025 · docs.n8n.io · ▲691Build AI automations & agents using natural language
TaskWand2025 · taskwand.io · ▲140Hello HN, I built TaskWand (https://taskwand.io) to make creating n8n workflows faster and less error-prone. The Problem I love n8n, but building complex workflows from scratch takes time. While standard LLMs can suggest logic, they often "hallucinate" nodes that don't exist, get parameter names wrong, or output JSON structures that n8n can't actually import. The Solution I built a specialized RAG (Retrieval-Augmented Generation) system. I indexed two thousands of working, verified n8n workflows. When you describe a task, the system retrieves relevant, valid workflow snippets to…
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