Build AI workflows visually. Run them in your browser.
NodeFox lets you connect AI models, files, APIs, code, decisions, and reusable components on a visual canvas — then run them as workflows, batch automations, or simple apps.
From visual design to in-browser runtime to production rollout
01
Compose
Connect models, files, tools, APIs, and code nodes into one clear visual flow.
02
Test in your browser
Run and debug every step locally in-browser so behavior is inspectable before you ship.
03
Scale
Share workflows with your team, automate runs at volume, or operate through the CLI.
The Node Lexicon
Learn 10 Nodes. Build Anything.
Most workflow tools force you to memorize a sprawling library of specialized nodes. NodeFox uses just 10 composable core nodes — enough to model any workflow pattern your team needs.
Build the workflow once. Publish it as a form-based App so teammates can upload files, enter inputs, click Run, and receive generated outputs in a live chat interface.
Contract analyzer
Upload a contract and get back risk flags, plain-language summaries, and the clauses that matter.
Meeting brief generator
Drop in a messy CSV and receive a normalized, schema-validated export ready to use.
Blog post generator
Enter a topic and outline to generate full posts with citations and source links.
Research report builder
Provide a question and get a multi-source synthesis with quotes, citations, and references.
Support ticket classifier
Paste a ticket and route it to the right team with a confidence score and reasoning.
Invoice extraction app
Upload invoice PDFs and extract line items, totals, and vendor metadata into structured data.
Sensitive FileReaderEnterprise OpenAIConversationSave to ExcelWriter
Browser-native by design
NodeFox workflows run on your machine, inside your browser. Your workspace, files, prompts, API keys, and AI responses stay under your control. Connect your own provider keys, work offline after loading, export everything, and optionally grant access to local files or shell commands when needed.
✓Private by default — No NodeFox server processes your workflows — execution stays on your device.
✓BYOK providers — Connect OpenAI, Gemini, Claude, Grok, Mistral, or custom providers with your own keys.
✓Offline-capable — Build, edit, and manage workflows after the app loads — no constant server round-trips.
✓Local files & shell — Optional advanced access for power users who need to read local files or run shell commands.
✓Exportable workspace — JSON and ZIP export plus local folder sync — your workspace is yours to move.
Governable in production
✓Approval gates — Hold high-impact actions for human sign-off.
✓Run history — Every step recorded — branch, data, and cost.
✓Export trail — Hand auditors the full record on demand.
Plans for builders and production teams
Choose the plan that fits your team size and workflow volume.
Answers about who it's for, how it works, and how it compares.
Who is NodeFox for?
NodeFox is built for teams that need AI workflows to be understandable and governable after launch. That includes product engineering, applied AI, platform, security, operations, and business systems teams that share responsibility for reliability.
Is NodeFox in beta?
Yes — NodeFox is in beta and evolving fast. We recommend a staged rollout: start with bounded workflows, keep high-impact actions behind approval gates, and expand as your team validates results.
How does NodeFox differ from Zapier?
Zapier is excellent for straightforward trigger-action automations. NodeFox focuses on multi-step graph orchestration with richer branching, stateful patterns, and AI-centric control flows.
How does NodeFox differ from n8n?
n8n is a flexible workflow tool with visual automation and code extensions. NodeFox is purpose-built for AI orchestration — with predictable execution, native MCP tool access, and step-level run inspection and approval flows.
Can NodeFox run without full autonomy?
Yes. Most teams run a tiered model: low-risk paths auto-complete, medium-risk paths route to review, and high-risk paths require explicit approval. This keeps throughput high while reducing the chance that ambiguous model outputs trigger irreversible actions.
Where do MCP capabilities fit?
MCP gives workflows standardized access to external tools and context while keeping you in control of every route. Teams can scope MCP usage by branch, attach validation checks to tool outputs, and maintain a full audit trail of what was called and why.
Build workflows your team can trust
Start with visual orchestration, scale with predictable control, and ship AI systems your whole team can understand in production.