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Sim Review

Sim is an open-source AI workspace designed for teams to build, deploy, and manage AI agents and agentic workflows.

shipped Aug 15, 2026paid
Domain rating52Monthly visits1.5K/mo
Sim — product screenshot

Why it matters

1Sim supports visual and code-based development of AI agent logic.
2The platform offers over 1,000 integrations and compatibility with major large language models.
3Sim raised $7 million in Series A funding in November 2025.
4Sim v0.6, 'Mothership,' introduced a central intelligence layer for agent orchestration in March 2026.

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is Sim?

Sim is an AI workspace tool developed by Sim that enables teams to build, deploy, and manage AI agents. It supports both visual and code-based development of agent logic, offering over 1,000 integrations and compatibility with major large language models (LLMs) such as OpenAI, Anthropic, Google Gemini, Groq, and Cerebras, as well as local models via Ollama or VLLM. The platform facilitates the automation of complex, multi-step tasks across various business functions, including operations, sales, customer support, and IT.

features

Key Features of Sim

Sim provides a comprehensive suite of features for the development, deployment, and management of AI agents, catering to both visual and code-based development methodologies. The platform's architecture supports robust agent orchestration and monitoring.

  • Visual and code-based development of agent logic via a workflow builder, conversational AI (Chat/Copilot), or API/SDK.
  • Integration with over 1,000 services and major LLMs including OpenAI, Anthropic, Google Gemini, Groq, and Cerebras.
  • Mothership (v0.6) for central intelligence layer and orchestration of AI agents.
  • Structured data management through Tables, Knowledge Base Connectors, and File storage.
  • Real-time tracing of agent decisions through detailed execution logs and cost monitoring.
  • AI Copilot for scaffolding workflows from natural language descriptions.
  • Enterprise-grade features: access control, Bring Your Own Key (BYOK), self-hosted deployments, SSO & SAML, whitelabeling, Admin API, and flexible data retention.
  • Scheduled Tasks for automating agent runs at specified intervals.
  • Real-time collaboration features for team-based workflow development.

use cases

Who Should Use Sim?

Sim is designed for teams and enterprises seeking to automate complex business processes and deploy AI agents across various departments. Its open-source nature and extensive integration capabilities make it suitable for organizations requiring flexibility and control over their AI infrastructure.

  • Sales Teams: Automating outreach, managing CRM upkeep, and generating reports.
  • Engineering Departments: Handling routine tasks, automating busywork, and integrating with development tools.
  • IT Operations: Resolving tickets, managing access requests, and automating system monitoring.
  • Compliance Departments: Ensuring audit readiness and automating data governance workflows.
  • Finance Teams: Accelerating financial closing processes and automating data entry.
  • HR Departments: Streamlining employee onboarding, providing support, and managing internal communications.

how to use

How to Use Sim

Users can begin by accessing the Sim platform, which offers multiple methods for agent creation and workflow design. The platform's visual builder and AI Copilot facilitate rapid development.

  • 1Access the Sim workspace via the web interface.
  • 2Utilize the visual workflow builder to design agent logic by dragging and dropping components.
  • 3Employ the AI Copilot to generate initial workflows from natural language prompts.
  • 4Integrate with over 1,000 services and connect to preferred LLMs.
  • 5Configure knowledge bases, tables, and file storage for agent context.
  • 6Deploy agents and monitor their performance, logs, and costs in real-time.

pricing

Sim Pricing & Plans

Sim operates on a paid model, offering an open-source core with additional enterprise-grade features available through specific plans. While a free tier is not explicitly detailed, the open-source nature allows for self-hosting and custom deployments. Enterprise offerings include advanced features such as SSO & SAML, whitelabeling, and dedicated support.

  • Open-source core: Available under Apache 2.0 license for self-hosting.
  • Sim for Enterprise: Includes access control, BYOK, on-prem Copilot, SSO & SAML, whitelabeling, Admin API, and flexible data retention.

Pros

  • +Open-source core (Apache 2.0 license) provides flexibility, data sovereignty, and cost control.
  • +Supports both visual workflow builder and code-based development via API/SDK.
  • +Integrates with over 1,000 services and a wide range of LLMs (OpenAI, Anthropic, Google Gemini, Groq, Cerebras, Ollama, VLLM).
  • +AI Copilot significantly reduces workflow setup time, with users reporting up to 80% reduction.
  • +Comprehensive monitoring with live traces, execution logs, and real-time cost tracking.
  • +Enterprise-grade features available, including SOC2 compliance, SSO & SAML, and self-hosted deployment options.

Cons

  • −As a relatively new platform, documentation and edge-case error handling are still maturing.
  • −May have fewer pre-built templates or a smaller community compared to older, more established automation tools.
  • −The ease of creating workflows can lead to users becoming 'too ambitious,' potentially increasing the number of processes running through Sim.
  • −Specific pricing details for enterprise plans are not publicly disclosed, requiring direct contact for quotes.

Policies

Pricing Page

View Pricing→

Similar Tools

Sim vs Competitors

Sim positions itself as an AI-native, open-source workspace for building and managing AI agents, differentiating from traditional automation tools and code-first frameworks by emphasizing its AI Copilot and comprehensive agent orchestration capabilities.

1
FlowiseAIOn Stork

It provides a low-code, drag-and-drop UI to build custom LLM apps, including agents and chains, with extensive integrations.

FlowiseAI offers a similar visual development experience for building LLM applications and agents. While it provides strong integration capabilities and supports knowledge bases, Sim might offer more specialized features for team collaboration and structured data management within its agent-centric workspace.

2
DifyOn Stork

It's an open-source LLM application development platform that integrates backend as a service, allowing users to build and operate AI assistants with a visual interface, RAG, and agent capabilities.

Dify provides a comprehensive platform for building and operating AI agents with a strong focus on RAG and workflow orchestration, similar to Sim's capabilities. Sim might offer more granular control over custom agent logic and a broader range of visual development tools for complex agentic workflows.

3
LangflowOn Stork

It offers a visual, drag-and-drop interface for building and deploying LangChain applications, enabling users to create complex LLM chains and agents without extensive coding.

Langflow excels at providing a visual builder specifically for LangChain-based applications and agents, offering a similar development paradigm to Sim's visual tools. However, Sim might provide a more integrated workspace for managing knowledge bases, structured data, and team collaboration beyond just the agent construction.

4
SuperAGIOn Stork

It is an open-source framework for building, deploying, and running autonomous AI agents, focusing on agent capabilities, tool integration, and a web UI for management.

SuperAGI provides a dedicated environment for building and managing autonomous AI agents, aligning with Sim's core purpose. While it offers a robust framework for agent execution and tool integration, Sim might provide more extensive features for visual workflow design, structured data handling, and team-specific workspaces.

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