Gumloop vs Langflow

Gumloop

• Teams that want non-engineers to build their own agents
• Companies that prefer unlimited seats on one shared credit pool
• Agents that answer in Slack or Microsoft Teams

Langflow

• Developers prototyping agent and RAG applications on a canvas
• Teams that want to self-host an MIT-licensed builder
• Turning flows into API endpoints or MCP tools for other applications

Gumloop

• There is no free plan: new accounts get a one-time 14-day Pro trial that requires a card and converts to paid unless canceled.
• Pro credits do not roll over, and agents stop at 20,000 credits a month unless pay-as-you-go is switched on.
• Bringing your own model API key removes token costs but raises the orchestration fee from 8% to 16%.
• Role-based access control, SCIM and SAML, audit logs, the admin dashboard and data exports are limited to Enterprise.

Langflow

• The docs cover only self-managed installs: Desktop, Docker, the Python package or Kubernetes. The homepage mentions a free cloud account but links no sign-up.
• Langflow Desktop is for macOS 13 or later and Windows, and lacks some features such as the Shareable Playground and Voice Mode.
• On Intel Macs, the ML and AI components that depend on PyTorch are limited or unavailable.
• The team gives no individual support by email: help comes through GitHub and community channels unless you subscribe to IBM Elite Support.

Gumloop

Agents on your tools and data

Agents work across more than 300 connectors and shared company knowledge, with a choice of 35+ models or your own model API keys.

Triggers, schedules and API

App triggers and recurring schedules start agents automatically, and a REST API can run them from other systems.

Skills

Agents write reusable playbooks called skills, which can be shared across a team and synced with GitHub.

Slack, Teams and Gmail

Agents can be @mentioned in Slack channels and threads, brought into Microsoft Teams chats and channels, and used to draft and triage mail in Gmail.

Sharing and permissions

An agent built by one person can be shared with an individual, a team or the whole organization at owner, editor, viewer or use-only level.

Usage-based credits

Model tokens, compute and paid tool calls are billed at list price in credits worth $0.005 each, plus an 8% orchestration fee, or 16% when you bring your own model keys.

Langflow

Visual flow editor

A flow is built by dragging component nodes onto a canvas and connecting them. Each component is one step, with parameters you fix or override at run time.

Playground

Test a flow and see its logic and responses in real time without building the rest of the application, or run a single component on its own.

Agents and tools

Agent components can call other components and whole flows as tools, running as a single agent or as several working together.

MCP server and client

Flows can be exposed as tools through Langflow's MCP server, and Langflow can connect to external MCP servers as a client.

API and deployment

Flows run from your own code through the Langflow API or are exported as JSON. The docs cover Docker, Kubernetes, remote servers and cloud providers.

Custom Python components

Components are written in Python, so you can edit the ones provided, write your own or install components shared by other users.

Gumloop

• Pro$37

  per month, including 20,000 credits

  Unlimited seats, teams and agents, 35+ models, your own API keys, email support, and optional pay-as-you-go overage at $0.005 a credit.

• EnterpriseCustom

  Custom credits, role-based access control, SCIM and SAML, audit logs, org-wide connector policies, optional virtual private cloud and Slack support.

Langflow

• Langflow OSSFree

  The full MIT-licensed application, run with Langflow Desktop on macOS or Windows, a Docker image or the Python package.

• IBM Elite Support for LangflowCustom

  Optional subscription to IBM technical support for open-source deployments you run yourself. It covers support only and includes no software license.