Sim is an open-source workspace to build agentic workflows. Connect your AI agents and workflows to 1,000+ integrations and LLMs.
This is the 3rd launch from Sim. View more
Sim
Launched this week
Sim is an open-source workspace to build agentic workflows. Connect your AI agents and workflows to 1,000+ integrations and LLMs.
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Kind of interesting that 90%+ of usage moved to chat when the product started out canvas-only. Usually builder tools go the other way, people start with prompts then graduate to manual/visual control once they need precision. Makes me think their user base skews more solo-builder/ops than engineer.
With 1,000+ integrations wired in, how predictable is token spend once an agent starts chaining calls across three or four of them in one workflow?
Played around with it for an hour and honestly the drag-and-drop agent builder feels really snappy, hooked up a Slack-to-Notion workflow in like ten minutes without writing code.
Sim
@cansel812054 great to hear! Feel free to use the chat agent. It's really powerful and can get you set up in <60s.
I like that you're treating AI agents less like individual tools and more like a coordinated system. As companies adopt more agents, I think orchestration will matter far more than adding another capable model. The value shifts from what a single agent can do to how reliably they work together.
Sim
@aryan787544 exactly. Being able to orchestrate many agents to handle a single task easily will become more important over time. This concept already exists in ML, and it's called ensemble learning. Many "weak" models on average perform better than one stronger model.
@emirkarabeg That's an interesting comparison. One difference, though, is that ensemble learning optimizes prediction quality, while companies ultimately care about decision quality. As more agents become involved, the challenge shifts from producing more outputs to determining which outputs have actually earned enough evidence to act on. That feels like the harder infrastructure problem over time
Sim
@aryan787544 I'd argue that they are more similar than different, but I agree that context is the most important aspect of the decision making process.
@emirkarabeg That's exactly where I think the interesting question is.
Context determines which outputs become evidence, and evidence determines which agent gets trusted next. Once multiple agents start influencing each other, orchestration becomes less about execution and more about governing confidence.
I'm curious whether Sim eventually evolves more toward that layer than workflow automation itself.
connected my OpenAI agent to Slack and Notion in like 10 minutes, the drag and drop flow editor feels really natural
Sim
@birglcanle9g1q feel free to try out the Sim agent builder! You can build in natural language in <1 minute.
Swytchcode
This is really amazing. So do you have templates for the workflows?
How is it different to N8N or Zapier?
As workflows grow over time, keeping everything organized usually become hard than building the first version. Wht helped your team keep large workflows easy to understand and maintain as more agents, integrations and triggers were added?
What's on the roadmap that you're most excited about but can't talk about yet? 👀
Sim
@chen_hao3
Two letters. U. I.