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Runflow

Platform and forward-deployed engineers for building, running and measuring AI agents in enterprise operations.

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What is Runflow?

Runflow is an AI agent orchestration platform, paired with a team of forward-deployed engineers who build agents alongside your staff. Technical teams define agents in code with a TypeScript SDK and a command-line tool, while business teams describe an agent in a conversational Studio that assembles the structure and connectors. Agents get automatic tracing, replay of past executions, cost per run, fallback across language models, staging and production environments with Git history, and role-based access. Business dashboards track events such as leads and conversion. Runflow also offers an LLM Hub that gives employees governed access to Claude, GPT, Gemini, Llama and Mistral with spend caps, and a Conversation Hub that places agents on WhatsApp with handoff to a human. More than 150 connectors cover ERPs, CRMs and channels. Prices are not published, and the site routes visitors to a demo request.

Use cases

  • Build AI agents in code or by conversation
  • Trace and replay agent executions
  • Run WhatsApp agents with human handoff
  • Give staff governed access to several LLMs
  • Triage support tickets automatically
  • Chase overdue payments by message
  • Track agent performance with business metrics

Who it's for

  • Enterprise AI teams
  • Developers building agents
  • Operations leaders
  • Insurance and healthcare operators

Why use Runflow

  • One runtime covers building, operating and measuring agents, so technical and business teams share the same agent.
  • Traces, replay and audit trails make it possible to review how an agent reached a decision.
  • Staging and production are separate, with Git history and one-click rollback.
  • The LLM Hub centralizes model access, so teams do not each sign up for their own API.

Runflow features

  • TypeScript SDK for agents, tools, memory and RAG
  • Conversational Studio for non-coders
  • Prompt Studio with versioning and rollback
  • Automatic tracing, debug and replay
  • Fallback across several language models
  • 150+ connectors and MCP support
  • Staging and production environments with native Git
  • Role-based access, human approval and audit trail
  • Business dashboards and cost per execution
  • rf command-line tool for testing and deployment

Runflow integrations

  • WhatsApp
  • Slack
  • HubSpot
  • Linear
  • GitHub
  • Cursor
  • Claude Code
  • Anthropic Claude

How to get started with Runflow

  1. Request a demo, and describe a process you want an agent to handle.
  2. Build the agent in code with the TypeScript SDK, or describe it in the Studio.
  3. Connect knowledge bases and the connectors your systems need, then test in staging.
  4. Promote the agent to production with the rf CLI or the Studio flow.
  5. Watch traces, cost and business dashboards, and refine the agent over time.

Runflow limitations

  • Pricing is not published; the site asks you to request a demo.
  • The main website and forms are in Portuguese, with an English version for some pages.

Runflow pricing

Runflow is sold on custom quotes, so its prices aren't published.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Runflow alternatives

The main Runflow alternatives listed on Debuly are n8n, Zapier, Make, LangGraph, CrewAI and Fin. The table compares pricing and platforms; order is A–Z.

Runflow compared with its alternatives
ToolPricingStarting pricePlatforms
RunflowContact sales—Web, API, CLI, Self-hosted
CrewAIOpen source—Web, API, CLI, Self-hosted
FinFree trial$0.99, usage-basedWeb, API
LangGraphOpen source—Self-hosted, Web, API
MakeFreemium—Web, API
n8nFreemium€20/moWeb, API, CLI, Self-hosted
ZapierFreemium$19.99/moWeb, SDK, MCP
  1. CrewAI

    Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.

  2. Fin

    AI customer service agent that answers support conversations across channels and is billed per resolved outcome.

  3. LangGraph

    Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

  4. Make

    Visual automation platform for connecting apps and AI agents with drag-and-drop scenarios, custom code and credit-based pricing.

  5. n8n

    Workflow automation platform with a visual builder, code steps and AI agents, available as n8n Cloud or self-hosted.

  6. Zapier

    No-code automation platform that links 9,000+ apps through multi-step Zaps, AI agents, tables, forms and an MCP server.

Runflow FAQ

How much does Runflow cost?

The site does not publish prices. You request a demo or a conversation with an expert, and the form promises a reply within one business day.

Is there a free plan for Runflow?

The vendor does not advertise a free plan.

Does Runflow have an API or SDK?

Yes. It provides a TypeScript SDK, an rf CLI and API documentation at docs.runflow.ai, plus an MCP gateway to expose connectors to tools such as Claude Code and Cursor.

Can Runflow be self-hosted?

The platform page lists SaaS or self-host as a deployment option.

Which language models can Runflow use?

Its LLM Hub lists Claude, GPT, Gemini, Llama, Mistral and your own models.

What are alternatives to Runflow?

Alternatives include n8n, Zapier, Make, LangChain with LangGraph, CrewAI and Microsoft Copilot Studio.

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

SourceTypeAccessed
runflow.ai/official
runflow.ai/pricingpricing
runflow.ai/en/platformofficial
runflow.ai/en/comparisonsofficial
runflow.ai/en/llm-hubofficial
runflow.ai/en/comparisons/zapierofficial

Image credits

  • Logo: from runflow.ai · fetched · Vendor trademark, used only to identify the product; removed on request
  • Cover: none collected yet, so a generated tile is shown.

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