Open Source Alternative to Build Agent

Break Free From Vendor Lock-in YOUR AI.
YOUR MODELS.
YOUR RULES.

Stop paying for locked-down AI. Snow-Flow lets you use your approved LLMs (Claude, GPT, DeepSeek, local models) to build ServiceNow solutions. Built by developers, for developers.

410+
MCP Tools
75+
AI Providers
100%
Open Source
0
Vendor Lock-in

ServiceNow's AI comes with strings attached

ServiceNow Build Agent locks you into their AI, their models, their pricing. Snow-Flow gives you freedom.

X

ServiceNow Build Agent

  • Locked to NowLLM only - no choice in AI models
  • Browser-only Studio environment
  • Proprietary closed-source system
  • $150K-$4.5M implementation costs
  • Single-agent architecture
  • Can't use your company's approved AI models
S

Snow-Flow Platform

  • 75+ AI providers - Claude, GPT, DeepSeek, local models
  • Any IDE - VS Code, Cursor, JetBrains, terminal
  • 100% open source (Elastic License 2.0)
  • Free forever or $99/mo for managed cloud
  • Multi-agent orchestration for complex tasks
  • Use ONLY your organization's approved models

From Jira ticket to deployed code.
Automatically.

Snow-Flow agents autonomously complete stories from Jira & Azure DevOps, create isolated update sets, and write documentation to Confluence or ServiceNow.

Enterprise
J

Jira Integration

Pull stories directly from Jira. Snow-Flow reads requirements, builds solutions, and updates ticket status automatically.

Enterprise
A

Azure DevOps

Connect to Azure Boards. Complete work items autonomously with full traceability back to your sprint backlog.

U

Isolated Update Sets

Every story gets its own update set. Clean deployments, easy rollbacks, perfect audit trail.

Enterprise
C

Confluence Docs

Auto-generate technical documentation in Confluence. Keep your wiki in sync with your codebase.

K

ServiceNow KB

Write knowledge articles directly in ServiceNow. User guides, release notes, and technical specs.

M

Multi-Agent

Specialized agents for different tasks. Planning, coding, testing, and documentation work in parallel.

1
Pull Story
From Jira or Azure DevOps
2
Create Update Set
Isolated per story
3
Build & Test
Autonomous development
4
Document
Confluence or ServiceNow

Snow-Flow vs ServiceNow Build Agent

A side-by-side comparison of Snow-Flow's open approach versus ServiceNow's proprietary AI solution.

Capability Snow-Flow Build Agent
AI Models 75+ providers - Use YOUR approved models (Claude, GPT, DeepSeek, local) NowLLM only + optional Azure OpenAI
Source Code Open source - Elastic License 2.0, audit & customize Proprietary closed-source
Development Environment Any IDE - VS Code, Cursor, JetBrains, terminal Browser-based Studio only
Starting Cost $0 (open source) or $99/dev/month $100-200/user/mo + $150K-$4.5M implementation
MCP Tools 410+ tools across 23 specialized servers Proprietary non-MCP API
External Integrations Jira, Azure DevOps, Confluence ServiceNow ecosystem only
Update Set Management 1 story = 1 update set automatically Manual update set management
Why developers choose Snow-Flow
  • No vendor lock-in: Use any AI model your organization approves
  • 90% cost reduction: Open-source foundation vs $150K+ ServiceNow implementation
  • Developer freedom: Code in your favorite IDE, not a browser
  • Full transparency: Every line of code on GitHub, audit and customize freely

From free to enterprise

Start with open source. Scale with managed cloud. All plans include 410+ ServiceNow tools.

Open Source

Free

$0/forever
  • 410+ MCP tools
  • 75+ AI providers
  • Self-hosted
  • Unlimited instances
  • Community support
Get Started
Teams

Teams

$79/seat/mo
  • Everything in Individual
  • Developer + Stakeholder seats
  • User management portal
  • Usage analytics
  • 4h priority support
Start Trial
Enterprise

Enterprise

Custom
  • Everything in Teams
  • 50+ seat packages
  • Dedicated account manager
  • Custom SLA
  • SOC 2 / ISO 27001
Contact Sales

Built by developers.
For developers.

"We got tired of being told which AI we could use. Snow-Flow is our answer: use any model, any IDE, any way you want."

The Snow-Flow Team

snow-flow
$ snow-flow init
Initializing Snow-Flow MCP servers...
410 tools loaded from 23 servers
$ snow-flow auth login
? ServiceNow instance: dev123456.service-now.com
? LLM provider: Claude (Anthropic)
? Snow-Flow Enterprise: Yes
? Connect Jira, Confluence, Azure DevOps: Jira, Confluence
Authentication complete. All connections verified.
$ snow-flow agent "Complete JIRA-1234"
Creating update set: JIRA-1234-incident-dashboard
Building widget... Running tests... Deploying...
Story complete. Update set ready for promotion.