Software Alternatives, Accelerators & Startups

Gumloop VS Agently

Compare Gumloop VS Agently and see what are their differences

Gumloop logo Gumloop

Automate Any Workflow with AI

Agently logo Agently

Your whole stack, running itself!
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Gumloop features and specs

  • User-Friendly Interface
    Gumloop provides a clean and intuitive user interface that makes it easy for users to navigate through its features.
  • Customizability
    The platform offers customizable features that allow users to tailor their experience to match their specific needs.
  • Integration Capabilities
    Gumloop integrates with various third-party applications, enhancing its functionality and providing a seamless experience.
  • Responsive Support
    The customer support team is responsive and helpful, addressing user concerns promptly.

Possible disadvantages of Gumloop

  • Limited Features for Free Plan
    The free plan has limited features, which can restrict functionality for users not willing to pay for upgrades.
  • Learning Curve
    Despite being user-friendly, some advanced features may have a learning curve for new users.
  • Performance Issues
    Occasional performance issues have been reported, such as slow load times or glitches.
  • Pricing
    Some users find the pricing for premium plans to be on the higher side compared to competitors.

Agently features and specs

  • Structured Output Focus
    Agently is designed to help developers get structured, predictable outputs from LLMs, making it easier to integrate AI responses directly into application logic without extensive parsing.
  • Simplified Prompt Engineering
    The framework provides an abstraction layer over raw prompt construction, using a declarative syntax (like chaining methods) to define desired output formats, which can speed up development.
  • Multi-Model Support
    Agently supports switching between different LLM providers and models, giving developers flexibility to choose the best model for their use case without rewriting significant portions of code.
  • Agent-Oriented Design
    It is built with agent workflows in mind, offering utilities for creating AI agents that can perform multi-step reasoning, tool use, and maintain context across interactions.
  • Open Source
    Being open source, Agently allows developers to inspect the codebase, contribute improvements, and customize the framework to fit specific project needs without vendor lock-in.

Possible disadvantages of Agently

  • Learning Curve
    Developers need to learn Agently's specific syntax and conventions for defining outputs and agent behaviors, which adds an extra layer of abstraction to understand beyond just prompting LLMs directly.
  • Documentation Gaps
    As a newer or less mainstream framework compared to alternatives like LangChain, documentation and community-driven examples may be less comprehensive, making troubleshooting harder.
  • Smaller Community
    Compared to more established AI agent frameworks, Agently likely has a smaller user base and ecosystem, resulting in fewer third-party plugins, integrations, and community support resources.
  • Dependency on Underlying LLM Quality
    While Agently structures outputs, the actual quality of responses still depends heavily on the underlying LLM's capabilities, so limitations of the base model can still surface as issues.
  • Potential Overhead for Simple Use Cases
    For straightforward, single-shot prompt tasks, using a full framework like Agently might introduce unnecessary complexity and overhead compared to directly calling an LLM API.

Analysis of Agently

Overall verdict

  • I don't have verified, up-to-date information about Agently (agently.dev) to make a confident quality judgment. It appears to be positioned as a framework/toolkit for building AI agents, but I can't confirm current features, pricing, reliability, or user satisfaction with certainty, so any assessment should be treated as provisional until verified directly on their site or through recent user reviews.

Why this product is good

  • Reportedly aimed at simplifying AI agent development with structured workflows
  • Likely offers SDK or API-based integration for building custom AI agents
  • May provide templates or abstractions to reduce boilerplate code for agent logic
  • Could support multiple LLM backends, offering flexibility in model choice
  • Positioned in the growing AI agent tooling space alongside frameworks like LangChain and AutoGPT

Recommended for

  • Developers exploring AI agent frameworks who want to evaluate multiple options
  • Teams prototyping AI-driven automation or agent-based applications
  • Users who prefer to verify current documentation and community feedback before committing
  • Not recommended as a sole basis for decision-making without direct hands-on testing

Gumloop videos

How I automated my YouTube | Gumloop tutorial | No Code

More videos:

  • Review - AI Automation/Gumloop Live Workshop #1
  • Tutorial - Gumloop | Ghost Blog Automation Tutorial

Agently videos

No Agently videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Gumloop and Agently)
Automation
94 94%
6% 6
Web Service Automation
AI
100 100%
0% 0
API Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Gumloop seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Gumloop mentions (1)

Agently mentions (0)

We have not tracked any mentions of Agently yet. Tracking of Agently recommendations started around Jul 2026.

What are some alternatives?

When comparing Gumloop and Agently, you can also consider the following products

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

Trace - Visualized Node.js monitoring

Albato - Connect 1K+ apps or integrate new services to create use cases tailored to your needs. No matter the process, automate it with no-code and AI.

Make.com - Tool for workflow automation (Former Integromat)

Relay.app - Automate tasks with AI and human-in-the-loop collaboration