Production AI Code
You Can Fork, Vibe, and Ship
Multi-agent systems that work first time. Battle-tested in production, fully documented, ready to customize.
Stop debugging tutorials. Fork working code, adapt to your use case, ship with confidence.
Battle-Tested with Production Technologies
You're Trying to Build Production AI, But...
Tutorials break in production. Hiring takes months. Trial-and-error costs you your market window.
Building from Scratch
- Trial and error learning
- Multiple debugging cycles
- Runtime errors and bugs
- No guaranteed patterns
Hiring Engineers
- Limited iterations
- Team coordination overhead
- Black box delivery
- Hope they get it right
Vibe Coding Ready
- 80%+ first-time success
- 60-80% less code to write
- 90%+ test coverage included
- Battle-tested in production
Each product represents 6+ months of trial-and-error, architecture decisions, and production refinement—all the hard lessons learned building real multi-agent systems. Fork the working code, skip the debugging hell, ship in days.
What You Get
Real outcomes, not just features
Ship in Days, Not Months
6+ Months Saved
Skip the trial-and-error phase. Fork working multi-agent systems with proven architecture patterns and start customizing immediately.
Avoid $50K+ in Engineering Costs
$299 vs $50K+
Get production-grade multi-agent systems for a fraction of what it costs to hire senior engineers to build from scratch.
Skip 6 Months of Prompt Refinement
Production Prompts
Get battle-tested system prompts, tool instructions, and output formats that work reliably—refined through months of production use.
90%+ Test Coverage Included
Production Quality
Every component fully implemented, tested, and documented. No skeleton code, no TODOs—complete systems that work first time.
Learn Production Patterns
Real Knowledge
Study how agent coordination, streaming workflows, and intelligent caching actually work in production—not toy tutorial examples.
Keep 100% of Your Revenue
MIT Licensed
Fork, customize, ship commercial products—no revenue sharing, no attribution required. You own everything you build.
How It Works
Three simple steps to production AI
Fork
Clone the production codebase from GitHub. Get 10 agents, 32+ tools, streaming workflows, and all battle-tested patterns.
Vibe
Adapt agents, prompts, and tools to your use case. Study the working patterns, learn the architecture, make it yours.
Ship
Deploy with confidence. 90%+ test coverage, production error handling, and proven patterns mean it works first time.
"I spent 3 months trying to figure out agent coordination. Navam Invest showed me exactly how it works. Shipped my MVP in 2 weeks."
— AI Engineer building a fintech platform
What AI Engineers Are Building
FinTech & Investment
Reference: Navam Invest
Building:
- •Robo-advisor platforms
- •Portfolio analytics tools
- •Investment research automation
- •Trading signal services
- •Wealth management backends
- •Financial newsletter automation
Key patterns learned:
Multi-agent coordination, financial data integration, risk analysis, streaming UIs
Business Intelligence
Reference: Moments, Trends
Building:
- •Market intelligence dashboards
- •Competitive analysis platforms
- •Strategic planning tools
- •Due diligence automation
- •Industry research systems
- •Executive decision support
Key patterns learned:
Data visualization, knowledge graphs, statistical analysis, evidence aggregation
Knowledge & Content
Reference: Memo
Building:
- •Research assistants
- •Content management systems
- •Browser-based AI tools
- •Knowledge bases
- •Document intelligence
- •Personal CRM systems
Key patterns learned:
Browser extensions, semantic search, multi-provider AI integration, knowledge graphs
Production Patterns Included
See exactly how we solved the hard problems
Five Production Codebases, Five Different Stacks
See what you're getting: Real screenshots from working applications, not mockups or wireframes

Navam Invest
Multi-agent investment intelligence with streaming TUI. Production-grade test coverage and code metrics shown in real terminal output.
- 10 specialized AI agents with LangGraph orchestration
- 90%+ test coverage with detailed metrics
- Textual TUI framework with streaming responses
Moments
AI-powered analytics dashboard with knowledge graphs and three-tier intelligence. Real-time visualization of business insights.
- D3.js force-directed graph with 237+ entities
- Three-tier analytics: Strategic, Tactical, Operational
- Real-time correlation insights and trend detection


Trends
Strategic intelligence platform with tRPC and Supabase. Card-based UI for tracking and analyzing enterprise trends with AI-powered insights.
- tRPC for end-to-end type safety without code gen
- Supabase PostgreSQL with real-time subscriptions
- Feature-slice architecture for scalable development
Memo
Knowledge management extension with multi-provider AI. Capture, tag, and chat with your browsing insights using Claude, GPT, Gemini, or local Ollama.
- Multi-provider AI: Claude, OpenAI, Gemini, Ollama
- Chrome Manifest V3 with Service Workers
- Provider factory pattern for unified AI interfaces

$ ask "create a table of planets"
# Streaming response from Claude Sonnet 4.5...
| Planet | Distance from Sun | Diameter | Moons |
|----------|------------------|-------------|--------|
| Mercury | 57.9 million km | 4,879 km | 0 |
| Venus | 108.2 million km | 12,104 km | 0 |
| Earth | 149.6 million km | 12,742 km | 1 |
| Mars | 227.9 million km | 6,779 km | 2 |
$ cmnd test ask
✓ Claude Sonnet 4.5: 1.2s (fast)
✓ GPT-4o: 1.8s (accurate)
✓ Gemini Flash: 0.8s (ultra-fast)
Command
Turn your Terminal into a configurable AI workspace with 15+ LLMs and 7 providers. Intent-driven workflows with markdown integration.
- 15+ models: Claude, GPT-4o, Gemini, Groq, Ollama
- Intent-driven workflows with VS Code & Obsidian
- Model testing, trends visualization, audit trail
Real Production Code. Real Business Value.
Complete, battle-tested codebases with proven metrics and full vibe coding automation.
Architecture
Integrations
Production
Code Quality
Get All Five Production Codebases
Python TUIs, CLI tools, Next.js dashboards, tRPC apps, and Chrome extensions—master different stacks by studying working production code.
Navam Invest
Multi-agent investment intelligence with streaming TUI. 10 specialized agents, 90%+ test coverage, production-grade.
Moments
Business intelligence with knowledge graphs, 3-tier analytics, 237+ entities, 1,814 relationships.
Trends
Strategic intelligence platform for enterprise market analysis and technology trend prediction.
Memo
Chrome extension for AI-powered knowledge management with semantic tagging and multi-provider chat.
Command
Terminal AI workspace with 15+ LLMs, 7 providers. Intent-driven workflows with markdown integration.
Senior Engineer Package
Get all 5 products with commercial licenses
$799 one-time
Regular: $1,495 • Save $696 (47%)
Simple, Transparent Pricing
Try free, buy when ready, scale with bundles
Personal Use
Explore and learn
- Full source code access
- All features unlocked
- Study production patterns
- Build personal projects
- No commercial use
pip install navam-invest
Commercial License
One-time payment
- Everything in Personal
- Build commercial products
- Unlimited end products
- Keep 100% of revenue
- Lifetime updates
30-day money-back guarantee
Senior Engineer Package
Save $397
- All 5 products included
- Navam Invest ($299)
- Moments ($299)
- Trends ($299)
- Memo ($299)
- Command ($299)
Regular: $1,495 • Save $696 (47%)
Frequently Asked Questions
What exactly do I get?
Complete production codebases with full source access. Every agent, every tool, every prompt, every test—nothing held back. MIT licensed.
Can I really build commercial products?
Yes! With a commercial license, fork the code, customize it, and ship your own SaaS products. Keep 100% of your revenue. No attribution required.
What if it doesn't work for my use case?
30-day money-back guarantee, no questions asked. If you can't adapt it or learn from it, get a full refund.
Start Building Your AI Product Today
Fork production-ready multi-agent systems. Learn from battle-tested patterns. Ship in days, not months.