👋 Hey Product Hunt! I'm Emir, co-founder and CEO of Sim.
Today Sim is open to everyone, and I couldn't be more excited to share it ❤️
Sim started with a mess of our own making. Waleed (my best friend and co-founder) and I were prompting Claude to build sophisticated automations in n8n, storing data in Supabase, and standing up infra for our APIs and MCPs, and we realized the stack we'd assembled just to build agents that automated our own work was a complete mess. Not to mention our token spend... So we set out to build the one platform we wished we had.
The problem: building AI agents today means stitching together frameworks, one-off scripts, and brittle automations that break the moment anything changes. We wanted one place to build an agent, give it access to our data across 1,000+ integrations, build a brain for memory, deploy it, and actually manage it over time. So we built one.
Sim is the open-source AI workspace for agents. Here's what makes it different:
🗣️ Build by chatting — describe what you want and Sim builds the agent and workflow for you. Or design it visually on a canvas. Or drop into code. Whatever fits the job.
🔌 1,000+ integrations + every major LLM — Slack, Notion, HubSpot, Salesforce, Gmail, and more, connected out of the box. Your agent says "message me on Slack when a deal closes" and it just works.
🧠 One workspace, shared context — Workflows, Tables, Knowledge Bases, and Files all live together, so your agents share memory and data instead of living in disconnected tools.
💸 Cost-efficient by design — Sim swaps token-hungry tool calls for deterministic steps and real code wherever it counts, so you're not burning tokens (and money) on work that never needed an LLM in the first place.
🚀 Built for real work — Slack bots, compliance agents, data pipelines, research assistants. Not demos, actual production agents.
🔓 Open source (Apache 2.0), SOC2, and already trusted by 100,000+ builders.
Who it's for: teams who want to put AI agents to work (IT, ops, and technical teams who need governance and control), and individual builders who care about speed and open source.
We're shipping fast and want to build this with you. Tell us what's missing, what's broken, and what would make Sim 10x more useful for you.
Try it -> sim.ai
I'll be here all day and will read and reply to every single comment 🙌
Congrats Emir! Your origin story is literally my job description. I prompt Claude to build automations for a 40-person company and the stack sprawl is real, so one workspace with shared context is the right pitch. My question: since 90% of usage is now chat-built, what happens when an agent needs to do something risky like sending a Slack message or an email? Can I set approval gates on specific nodes so a human signs off before it fires? That’s the line between a demo and something I’d let loose on production.
Congrats Emir! Most agent builders just throw LLM calls at everything and the bill quietly becomes a problem at scale. How does Sim decide which steps get deterministic code versus an LLM call, is that the builder's call or does Sim suggest it
Apache 2.0 and soc2 out of the gate is a wild combination for a new open source agent project. usually security teams block this stuff instantly. congrats for launch @emirkarabeg 🙌 qq can i run the entire stack locally via docker-compose and still keep the visual canvas working?
Quick question: when an agent workflow fails in production, how do you actually debug it? Like, is there a trace/replay view, or are you digging through logs across the different integrations it touched? Anyways, congrats on the launch!!
connected my OpenAI agent to Slack and Notion in like 10 minutes, the drag and drop flow editor feels really natural
Open source is the reason I'd actually build a workflow on this instead of renting one that vanishes in a year. When a step in the middle of a run fails, does Sim let me resume from that step or does the whole thing start over? Re-running everything from the top is what made me drop the last couple orchestration tools I tried.
Love the emphasis on replacing unnecessary LLM calls with deterministic code instead of assuming everything needs an agent. Just Curious have you noticed users converging toward a small set of reusable agent patterns over time, or is every team's workflow still highly bespoke? Congrats on the launch! 🚀
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.
1,000+ integrations is impressive!! I'm curious, how do you think about long-tail services? Do you expect to build and maintain every connector yourselves, or is there a strategy for letting the ecosystem extend Sim over time?
Open-source makes this especially interesting. What advantages have you seen from teams self-hosting Sim versus using a hosted AI workspace?
Hey Emir! Congrats on the launch. Love open source projects and even more if it's backed by YC. Wish you all the best here
Congrats on the launch! The open source angle is what caught my eye, most agent workflow tools lock you into their cloud. Curious about one thing, when an agent fails mid-workflow, does the whole chain retry or can it resume from where it stopped? Wishing you a great launch day!
Love that you're supporting multiple integrations instead of reinventing every connector . That should make it much easier to fit into existing tech stacks.
Congrats on the launch @emirkarabeg The token efficiency angle is so underrated. Finally someone is doing the math before burning the budget. What are the most popular integrations so far?
This looks promising! How does Sin handle multi agent collaboration ? Can different agents here context and coordinate on the same workflow?
replacing expensive LLM calls with deterministic logic is a smart design choice. do users get visibility into where tokens are being spent inside each workflow?
About Sim on Product Hunt
“Open-source workspace for AI agents and workflows”
Sim launched on Product Hunt on July 10th, 2026 and earned 425 upvotes and 85 comments, earning #2 Product of the Day. Sim is an open-source workspace to build agentic workflows. Connect your AI agents and workflows to 1,000+ integrations and LLMs.
Sim was featured in Open Source (68.6k followers), Developer Tools (515.5k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 194.1k products, making this a competitive space to launch in.
Who hunted Sim?
Sim was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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