Vellum

Best Vellum Alternatives in 2025

5 alternatives found

Overview of Vellum

Vellum is a no-code AI agent builder that lets you create working agents simply by describing your task in plain English. You can run agents on a schedule, trigger them via API, or use them through a UI. It’s designed for users who want automation without any setup or coding—just describe what you need, and Vellum turns it into a functional agent.

Why Look for Alternatives

While Vellum excels at simplicity and speed for straightforward automation, it may not fit every use case. Users looking for deeper integrations with hundreds of external services, more control over complex multi-step workflows, or production-grade features like sandboxing, observability, and custom code may find Vellum too limited. Additionally, developers who prefer a code-first approach or need to manage multiple coding agents might want more flexibility. The alternatives below cover a range of needs from no-code to developer-centric solutions.

Top Alternatives

  1. Aident AI (Score: 85/100) – Aident AI offers a broader integration library with 1000+ tools and 23000+ actions, making it ideal for extensive automation across many services. It provides a live dashboard for monitoring, approvals, and managing automations at scale. It supports both Express Mode for single-agent tasks and Deep Mode for complex multi-agent workflows. You can also reuse automations as MCP-compatible skills for other AI agents like Claude or Cursor. Choose Aident AI when you need to connect many external services in complex, multi-step automations that require oversight and reuse.

  2. Demonstrate by Notte (Score: 65/100) – Demonstrate generates production-ready code from recorded browser tasks, giving developers granular control over automation logic. It includes an Automation Studio with live browser previews, supports deployment as serverless functions, and handles authentication and anti-bot measures out of the box. Choose Demonstrate over Vellum when you need to automate complex browser tasks that require custom logic, authentication, or production-grade deployment, and you have the technical skills to edit code.

  3. 21st Agents SDK (Score: 65/100) – This is a code-first TypeScript SDK that gives developers full control and flexibility. It comes with built-in production infrastructure: sandboxing, auth, UI components, observability, and billing. One-command deployment reduces DevOps overhead. It supports custom tools with Zod schemas and MCP servers. Choose 21st Agents SDK when you are a developer who wants to build and deploy custom AI agents with full control and production features out of the box.

  4. 1Code (Score: 45/100) – 1Code supports multiple coding agents (Claude Code and Codex) in one app and runs them in parallel to speed up feature development. It provides a visual UI with git integration, staging, diffs, and PR creation, plus background agents that continue working even when your laptop is closed. It includes live browser previews and MCP protocol integrations. Choose 1Code when you are a developer who needs to run multiple coding agents in parallel and manage git workflows visually.

  5. Skillkit (Score: 45/100) – Skillkit is an open-source, locally-run CLI tool that offers full data privacy and no vendor lock-in. It supports 46+ AI coding agents and provides a package manager for skills with automated installation and updates. It includes memory, security scanning, and team workflows. Choose Skillkit if you are a developer who wants to manage and distribute AI agent skills across multiple coding assistants from a single CLI and prefer a local, open-source solution.

How to Choose

When selecting an alternative to Vellum, consider the following factors:

  • Ease of use: If you need a no-code, plain-English interface, Vellum is hard to beat. Alternatives like Aident AI also offer no-code options but with more complexity.
  • Integration needs: For connecting many external services (Slack, Twitter, Shopify, etc.), Aident AI’s extensive library is superior.
  • Technical skill: Developers who want full control should consider 21st Agents SDK, Demonstrate, 1Code, or Skillkit. Non-technical users should stick with Vellum or Aident AI.
  • Workflow complexity: Simple, one-off automations are best with Vellum. Complex multi-step workflows with monitoring and approvals favor Aident AI. Browser automation with custom logic suits Demonstrate.
  • Production features: If you need sandboxing, auth, observability, and billing, 21st Agents SDK is a strong choice.
  • Coding agent focus: For managing multiple coding agents and git workflows, 1Code or Skillkit are better fits.

Evaluate your specific use case, technical comfort, and required integrations to pick the best alternative.

Alternatives

Aident AI
1. Aident AITop Match

Aident AI is an agentic automation editor. Describe what you want in plain English and Aiden turns it into a Playbook that compiles into scripts + prompts. Connect 250+ tools and keep updating the automation through chat as your process changes.

Pros

  • + Offers a broader integration library with 1000+ tools and 23000+ actions, enabling more extensive automation across many services.
  • + Provides a live dashboard for monitoring, approvals, and managing automations at scale, which Vellum may lack.
  • + Supports both Express Mode (single-agent, fast) and Deep Mode (multi-agent, complex), giving flexibility for different workflow complexities.
  • + Allows reuse of automations as MCP-compatible skills that can be called from other AI agents like Claude or Cursor.

Cons

  • - Vellum focuses on turning plain English descriptions directly into working agents with minimal setup, while Aident AI compiles into scripts and prompts, which may require more technical understanding.
  • - Vellum may offer a more streamlined, no-code experience for simple agent creation, whereas Aident AI's dashboard and multi-mode approach could be overkill for basic tasks.
  • - Vellum's scheduling, API, and UI triggers might be simpler to configure for users who just need a straightforward agent.

Choose Aident AI over Vellum when you need to connect a wide range of external services (e.g., Slack, Twitter, Shopify) in complex, multi-step automations that require monitoring, approvals, and the ability to reuse automation skills across different AI tools.

Demonstrate by Notte

Record any browser task once and get production-ready code instantly with Demonstrate Mode. Edit further your code in our Automation Studio with live browsers, deploy automation code as a serverless function, and schedule it to run autonomously. Managed sessions, proxies, identities, and vaults handle everything behind the scenes. The fastest path from prototype to production in one unified platform.

Pros

  • + Demonstrate generates production-ready code from recorded browser tasks, offering more flexibility for developers who want to customize and deploy automation.
  • + It provides an Automation Studio for editing code with live browser previews, giving users granular control over automation logic.
  • + Supports deployment as serverless functions and scheduling, making it suitable for complex, scalable automation workflows.
  • + Includes managed sessions, proxies, identities, and vaults for handling authentication and anti-bot measures out of the box.

Cons

  • - Vellum requires no code at all—users describe tasks in plain English—while Demonstrate requires recording and possibly editing code, which may be less accessible to non-technical users.
  • - Vellum offers a simpler, more abstracted experience for quick automation without setup, whereas Demonstrate has a steeper learning curve for those unfamiliar with coding or browser automation.
  • - Vellum's natural language interface may be faster for simple, one-off automations compared to Demonstrate's record-and-edit workflow.

Choose Demonstrate over Vellum when you need to automate complex, multi-step browser tasks that require custom logic, authentication handling, or production-grade deployment, and you have the technical skills to edit and manage code.

21st Agents SDK

21st Agents SDK is the fastest way to add an AI agent to your app. Define your agent in TypeScript, deploy in one command, and embed a production-ready chat UI with Built-in streaming, session management, usage billing, and observability — so you can focus on what makes your agent unique, not infrastructure. Backed by Y Combinator (W26).

Pros

  • + Code-first approach gives developers full control and flexibility in TypeScript
  • + Built-in production infrastructure: sandboxing, auth, UI components, observability, and billing
  • + One-command deployment to a managed environment, reducing DevOps overhead
  • + Supports custom tools with Zod schemas and MCP servers for extensibility

Cons

  • - Requires TypeScript coding skills, unlike Vellum's no-code plain English interface
  • - Less accessible to non-technical users who want to describe tasks in natural language
  • - No built-in scheduling or trigger system for running agents on a timer or via API without additional setup

Choose 21st Agents SDK over Vellum when you are a developer who wants to build and deploy custom AI agents with full control over code and infrastructure, and you need production-grade features like sandboxing, auth, and observability out of the box.

1Code

Whats 1Code? An app to run your Claude Code agents in parallel that works on Mac and Web. On Mac - run locally, with or without worktrees. On Web - run in remote sandboxes with live previews of your app, mobile included, so you can check on agents from anywhere. Running multiple Claude Codes in parallel dramatically sped up how we build features.

Pros

  • + Supports multiple coding agents (Claude Code and Codex) in one app, offering flexibility
  • + Runs agents in parallel, dramatically speeding up feature development
  • + Provides a visual UI with git integration, staging, diffs, and PR creation
  • + Offers background agents that continue working even when laptop is closed
  • + Includes live browser previews for web and mobile views
  • + Supports MCP protocol for integrations with tools like Notion, Linear, GitHub

Cons

  • - Requires more setup and technical knowledge compared to Vellum's no-code approach
  • - Focused on coding agents rather than general-purpose AI automation
  • - Does not offer plain English task description to agent generation
  • - Lacks scheduling and API trigger capabilities for non-developer workflows
  • - Primarily targets developers, not business users seeking simple automation

Choose 1Code over Vellum when you are a developer who needs to run multiple coding agents in parallel, manage git workflows visually, and want the ability to switch between Claude Code and Codex for different tasks.

Skillkit

The universal skill platform for AI coding agents. Auto-generate instructions with Primer, persist learnings with Memory, and distribute across Mesh networks. One CLI for Claude, Cursor, Windsurf, Copilot, and 28 more.

Pros

  • + Skillkit is open source and runs entirely locally, offering full data privacy and no vendor lock-in.
  • + Supports a vast ecosystem of 46+ AI coding agents, making it highly portable across different tools.
  • + Provides a CLI-based package manager for skills, enabling automated installation and updates.
  • + Includes memory, security scanning, and team workflows out of the box.

Cons

  • - Requires command-line proficiency and setup, whereas Vellum offers a no-code, plain-English interface.
  • - Skillkit focuses on coding agents and developer workflows, while Vellum targets broader automation tasks (scheduling, API triggers, UI).
  • - Skillkit's skill aggregation is more technical and less accessible to non-developers compared to Vellum's natural language agent creation.
  • - Vellum provides a managed UI and scheduling capabilities; Skillkit is primarily a CLI tool without a built-in scheduler or visual interface.

Choose Skillkit over Vellum if you are a developer who wants to manage and distribute AI agent skills across multiple coding assistants (like Claude, Cursor, Copilot) from a single CLI, and you prefer an open-source, locally-run solution with no telemetry.