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Open Agent Builder

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Visual workflow builder for AI agents powered by Firecrawl

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★ 2.6k Stars Category · Dev Tools Popular Source revision be856e57f812

27FMRS · D

Reliability

2/20

Security and permissions

6/20

Maintenance

7/20

Documentation

8/20

Setup experience

4/20

Open Agent Builder is a rich visual workflow builder leveraging Firecrawl for web scraping, with MCP protocol support for Anthropic Claude. It offers an intuitive drag-and-drop interface and real-time execution. However, it requires setup with multiple external services (Convex, Clerk, Firecrawl), and MCP support for OpenAI and Groq is not yet available. Suitable for users wanting to build AI agent workflows and willing to handle complex deployment.

Read the FMRS scoring method →

Open Agent Builder is a visual workflow builder for creating AI agent pipelines powered by Firecrawl. Its drag-and-drop interface helps design complex agent workflows with real-time streaming execution. It includes 8 core node types, LangGraph execution engine, Clerk authentication, Convex database, and MCP protocol support for tool integration.

Tools

The tool list has not been reviewed yet.

Setup

Clone repo: git clone https://github.com/firecrawl/open-agent-builder.git && cd open-agent-builder && npm install
Set up Convex: npm install -g convex && npx convex dev
Set up Clerk: create app at clerk.com, configure API keys and JWT template
Configure Convex auth: edit convex/auth.config.ts and run npx convex dev
Set up Firecrawl: get API key and add to .env.local as FIRECRAWL_API_KEY
Optionally set default LLM provider (e.g., ANTHROPIC_API_KEY)
Optionally set E2B key
Run: terminal 1: npx convex dev, terminal 2: npm run dev, or use npm run dev:all

Fit and risk

Best for

Developers and teams wanting to visually build AI agent workflows
Users needing integration with Firecrawl for web scraping
Users wanting to use Anthropic Claude's MCP tool support
Workflows requiring real-time execution and streaming updates

Not for

Users needing simple scripts without a visual interface
Users needing full MCP support with OpenAI or Groq (currently limited)
Users wanting to deploy as a standalone MCP server rather than an application

Required permissions

Requires Firecrawl API key and network access for scraping
Requires LLM API keys (e.g., Anthropic, OpenAI, Groq)
Requires Convex database and Clerk authentication for deployment
Optional E2B key for sandboxed code execution

Risks and side effects

Project is actively developed; some features may be unstable
Dependency on external services (Firecrawl, Convex, Clerk) costs and availability
Exposure of LLM and Firecrawl API keys; must be managed securely
Supply chain risk: relies on many third-party npm packages; review dependencies

Troubleshooting

Ensure all required environment variables are set correctly
Ensure Convex dev server is running in a separate terminal
Check Firecrawl API key validity and quota
For MCP tools, use Anthropic Claude as default provider
Verify Clerk configuration in .env.local, especially JWT issuer domain
When running npx convex dev, ensure auth config is pushed correctly

Use cases

Building web scraping and data extraction workflows

Creating multi-step AI agent pipelines

Automating research and content generation

Performing data transformation and analysis

Implementing web automation with human approvals

Supported clients

Supported clients have not been confirmed yet.

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