
Sim is an open-source workspace to build agentic workflows. Connect your AI agents and workflows to 1,000+ integrations and LLMs.
Sim is an open-source platform designed for creating workflows with AI agents, supporting over 1,000 integrations and large language models (LLMs). It targets developers looking to streamline AI-driven processes.
Overall, the feedback is overwhelmingly positive, highlighting the tool's open-source nature and integration capabilities.
👋 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 🙌
<p>Congrats on the launch! <br><br>100k builders on an open source tool is genuinely impressive. <br><br>BTW, what's the split between solo devs and actual teams using this in production?</p>
<p>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 <a href="https://www.producthunt.com/@emirkarabeg" data-node-type="mention" data-mention-type="user" data-mention-id="emirkarabeg" target="_blank" rel="nofollow noopener noreferrer">@emirkarabeg</a> 🙌 qq can i run the entire stack locally via docker-compose and still keep the visual canvas working?</p>
<p>love that files and tables live in the same workspace layout, context switching between three different DBs and vector tools completely breaks agent memory. amzing launch</p>