open-agent-builder: Visual workflow builder for AI agents powered by Firecrawl

by firecrawl · Agent Tool · ★ 2.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install open-agent-builder

git clone https://github.com/firecrawl/open-agent-builder.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 74/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars2,657
Forks510
LanguageTypeScript
CategoryAgent Tool
Quality Score74/100
Open Issues17
Last Updated2025-10-20
Created2025-10-16
Platformsbrowser, node
Est. Tokens~17k

About open-agent-builder

Open Agent Builder Build, test, and deploy AI agent workflows with a visual no-code interface Documentation • Examples What is Open Agent Builder? Open Agent Builder is a visual workflow builder for creating AI agent pipelines powered by Firecrawl. Design complex agent workflows with a drag-and-drop interface, then execute them with real-time streaming updates.

Compatible Skills

These tools work well together with open-agent-builder for enhanced workflows:

  • crabwalk — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • agents — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • agenta — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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