Gumloop
AI agents built by your team
Build and deploy AI agents across your organization without coding. Enable any team member to create specialized agents for data analysis, support, sales, and recruiting while IT maintains control over access and security. Connect to any AI model and integrate with Slack, Teams, Gmail, and major business applications.
Pro
20
ready to use- Visual Agent Builder
- Multi-agent Orchestration
- Slack Integration
- Microsoft Teams Integration
- Gmail Integration
- WhatsApp Integration
- Multiple AI Model Support
- No Vendor Lock-in
- Internal Data Connection
- External Data Connection
- Pre-built Agent Templates
- Data Analysis Agents
Gumloop at a glance
Overall Score
Gumloop is an AI-native automation platform built around a visual, node-based canvas where you chain together web scraping, browser automation, search, and LLM reasoning steps. It sits somewhere between simple point-and-click automation tools and full developer platforms, aimed at people who want to build multi-step logic without writing code but don't mind thinking in terms of data flow.
Who it's for: marketing, sales, ops, and data teams doing repetitive work like lead enrichment, research aggregation, or content pulls, plus teams that want to run custom agents inside Slack or on a schedule. It's less of a fit if you just need a single trigger-action automation, since there's real setup involved to get value out of it.
Pros
- Lets you route tasks to different AI providers (OpenAI, Anthropic, Google Gemini, or your own models/API keys) instead of locking you into one
- Combines scraping, browser automation, and AI processing on one visual canvas so you're not stitching together separate tools
- Clean, modern drag-and-drop builder that makes it easy to see where a workflow is pulling data from and where it breaks
- Has native Slack integration so agents can run inside a channel or on a schedule, not just as background jobs
- Includes an AI copilot that helps build or debug flows using plain-language prompts
- Doesn't use your data to train underlying models, which matters if you're handling anything sensitive
Cons
- New users hit a real learning curve and some choice paralysis when building anything logic-heavy
- Usage-based credit pricing gets hard to predict once you're running high-volume or continuous agent loops
- Data-type or list-size mismatches between nodes can be fiddly to debug if you're not used to thinking in system logic
Gumloop is a good fit if you've outgrown basic automation tools but don't want the overhead of a fully developer-first platform. It's genuinely useful for teams doing repetitive research, scraping, or AI-driven data work who want to actually see where a workflow breaks instead of guessing. Being able to swap between AI providers, or bring your own keys, is a real plus if you don't want to commit to one model forever.
Best Templates from Gumloop
Explore stunning templates built with Gumloop.
