# AgentRunner vs Sim AI

AgentRunner records 0 monthly visits with 0% month-over-month growth and Freemium, Free pricing. Sim AI records 140,953 monthly visits with +20.6% growth and Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 pricing.

| Metric | [AgentRunner](https://openaitools.app/tool/agentrunner) | [Sim AI](https://openaitools.app/tool/sim-ai) |
| :--- | :--- | :--- |
| Website URL | https://agentrunner.com | https://www.sim.ai |
| Categories | AI Workflow, AI App Builder, AI Agent, AI Developer Tools | AI Agent, AI Workflow, AI Knowledge Base, AI Developer Tools |
| Pricing Model | Freemium, Free | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 |
| Monthly Visits | 0 | 140,953 |
| MoM Growth Rate | 0% | +20.6% |
| Primary Market | Global | India |
| Direct Visits | 0 | 73,826 |
| Review Score | 4.3 | 4.6 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## AgentRunner

AgentRunner is a no-code visual development environment for teams that build with large language models. Instead of juggling prompts across notebooks, scripts and documentation, you keep every prompt inside one workspace and chain them together on a node-based canvas. Each node can call a model, transform the data returned, or hand off to an external API, which makes it practical to describe a multi-step AI application as a diagram rather than a pile of glue code.

The platform is aimed at developers, prompt engineers and product teams who want to prototype fast and then measure results. Prompt versioning and call logging let you compare how different phrasings behave before you commit to one, and native integrations with providers such as OpenAI, Claude and LLaMa mean you can route different stages of the same workflow to different models. Typical outcomes include customer-support chatbots, content generation pipelines and automation of routine internal decisions.

AgentRunner is presented by a team with previous product experience (the creators of SAAS First and MillionVerifier) and positions its deployment layer as a planned, product-led step for taking prototypes to production. Because the builder targets people comfortable wiring APIs together, it sits somewhere between pure no-code tools and a traditional development stack.

**Pricing & Plans:** AgentRunner advertises free and freemium access, with paid or contact-based arrangements for teams that want to deploy or embed the workflow builder. Specific plan limits and per-seat pricing are not published on the public pages we reviewed, so treat the listed tiers as directional and confirm current terms directly with the vendor.

- **Visual node-based workflow editor:** Design complex AI applications by chaining prompt nodes, manipulating data between them and wiring in external APIs — all on a drag-and-drop canvas.
- **Centralized prompt management:** Edit, organise and version every prompt from a single workspace instead of scattering them across code files and notebooks.
- **Multi-model integration:** Connect accounts for models from OpenAI, Claude, LLaMa and other providers, letting you compare and route between them inside one workflow.
- **Prompt testing and logging:** Test, log and track AI calls so you can measure which prompt version performs best and iterate toward a stronger assistant.
- **Deployment path for AI apps:** Move from a working prototype to a launched application with a product-led flow built for shipping rather than demoing.

**Strengths:** Node-based canvas makes complex multi-step prompt chains readable at a glance; Centralised prompt storage with versioning and call logging aids real iteration; Connects to multiple model providers, so you are not locked into a single vendor; Built by a team with prior SaaS product experience, aiming at production deployment

[Profile (Markdown)](https://openaitools.app/tool/agentrunner.md)

## Sim AI

Sim is an open-source AI workspace for companies that need to build, distribute and govern AI agents rather than run isolated prompts. It brings four connected products into one environment: Workflows for designing repeatable agent logic, Knowledge Base for grounding agents in internal documents, Tables for structured data agents can read and update, and Files for shared inputs, outputs and artifacts. A Logs product traces every run for debugging and cost visibility.
Teams can build through conversation in Chat, by arranging blocks on a visual canvas, or by writing code and using the CLI. Integration coverage is broad, with 270+ connectors spanning Slack, GitHub, Gmail, Notion, Salesforce, Jira, Linear, Supabase and Stripe, alongside every major LLM including OpenAI, Anthropic, Google, DeepSeek and xAI models. The Knowledge Base automatically syncs sources such as Notion, Google Drive, Confluence, Slack, GitHub and SharePoint, so agents answer from current content instead of stale snapshots.
Governance is the other half of the product. Administrators set permission groups for models, integrations and tools, define organization and per-member spend limits, retain audit records, and configure workspace data retention. Sim Cloud is available alongside self-hosting via Docker or Kubernetes under the Apache 2.0 license, with enterprise features gated by a license. The company publishes a Trust Center covering SOC 2 Type II, ISO 27001 and GDPR, and counts Rivian and eXp Realty as customers.

**Pricing & Plans:** Free forever on Sim Cloud with 1,000 one-time credits, 1 workspace and 5 GB storage. Pro is $25 per user/month (6,000 credits/month), Max is $100 per user/month (25,000 credits/month), and Enterprise is custom. Sim Cloud credits are worth $0.005 each, and the platform is free to self-host under Apache 2.0.

- **Build agents three ways:** Create agents by describing them in Chat, arranging blocks on a visual canvas, or writing code and CLI commands, and deploy the result without rebuilding it.
- **Knowledge Base with live sync:** Sync and auto-update documents from Notion, Google Drive, Confluence, Slack, GitHub and SharePoint so agents ground answers in current company knowledge.
- **Tables and Files:** Agents read and write structured data in Sim Tables and keep files and artifacts organized in one shared store across runs.
- **Execution logs and cost tracking:** Trace every agent run block by block with success rate, latency, execution cost and failure details for debugging and reporting.
- **Enterprise governance and self-hosting:** Manage SSO and SCIM provisioning, permission groups, model and tool access, spend limits, data retention and Docker or Kubernetes deployment.

**Strengths:** Open source under Apache 2.0 with free Docker and Kubernetes self-hosting; Four plans from Free to Enterprise, so teams can start without a sales call; 270+ integrations and every major LLM in one workspace; Knowledge Base auto-syncs from Notion, Drive, Confluence, Slack, GitHub and SharePoint

**Limitations:** Credit-based Cloud pricing can be harder to forecast than flat seat pricing; Enterprise governance features such as SSO, SOC 2 controls and self-hosted enterprise licensing sit above the Free plan; With 270+ integrations and four plan tiers, first-time setup requires deliberate configuration; Small Free plan limits (1 workspace, 5 GB storage, 30-day log retention) push team use toward paid tiers

[Profile (Markdown)](https://openaitools.app/tool/sim-ai.md)

## Frequently Asked Questions

### How do AgentRunner and Sim AI compare in monthly traffic?

AgentRunner has 0 monthly visits, while Sim AI has 140,953. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AgentRunner has a month-over-month growth rate of 0%; Sim AI has +20.6%.

### How does pricing compare?

AgentRunner: Freemium, Free. AgentRunner advertises free and freemium access, with paid or contact-based arrangements for teams that want to deploy or embed the workflow builder. Specific plan limits and per-seat pricing are not published on the public pages we reviewed, so treat the listed tiers as directional and confirm current terms directly with the vendor. Sim AI: Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0. Free forever on Sim Cloud with 1,000 one-time credits, 1 workspace and 5 GB storage. Pro is $25 per user/month (6,000 credits/month), Max is $100 per user/month (25,000 credits/month), and Enterprise is custom. Sim Cloud credits are worth $0.005 each, and the platform is free to self-host under Apache 2.0.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Provides vastly superior general workflow automation and node variety, but with slightly less specialized native LLM evaluation tooling. | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Offers an intuitive no-code builder for custom agents, but is a commercial platform without Sim AI's open-source flexibility. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Offers a more polished visual canvas for RAG pipelines and LLM apps, but requires more setup for external API integrations. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Provides enterprise-grade security and robust incident response workflows, but lacks native visual RAG knowledge base management. | [.md](https://openaitools.app/tool/tines.md) |
| 7 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Features a cleaner, more lightweight visual builder with conversational prompting, but has a smaller ecosystem of prebuilt AI components. | [.md](https://openaitools.app/tool/activepieces.md) |
| 8 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Excels at building multi-agent workforces for business tasks, but lacks Sim AI's deep focus on open-source code-first flexibility. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 9 | [FlowHunt](https://openaitools.app/tool/flowhunt-io) | 186,190 | 0% | Free Trial, Paid | No-code AI agents and chatbots for marketing, SEO and support | [.md](https://openaitools.app/tool/flowhunt-io.md) |
| 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Provides a powerful Python-first framework for building model-agnostic agents, but lacks Sim AI's drag-and-drop visual workflow canvas. | [.md](https://openaitools.app/tool/agno.md) |

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Source: https://openaitools.app/compare/agentrunner-vs-sim-ai

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)