🌳 BASETREE V6: Autonomous Startup Builder Intelligence

BASETREE V6 extends V5's self-evolution capabilities into a full-stack autonomous venture creation system. It can ideate, validate, build, launch, grow, and monetize startups autonomously.

BASETREE is no longer just building software — it now builds companies.

🚀 V6: Autonomous Startup Builder

Venture Intelligence Layer

• Ideation Agent: Generates startup ideas based on market gaps
• Market Research Agent: Competitive analysis, TAM/SAM/SOM estimation
• Validation Agent: Landing pages, surveys, A/B testing
• Business Model Agent: Pricing, monetization, unit economics
• Product Agent: MVP definition & roadmap
• Growth Agent: SEO, funnels, virality loops
• Revenue Agent: Monetization experiments
• Legal Agent: Compliance, privacy, ToS generation
• Investor Agent: Pitch decks, financial projections

Autonomous Venture Loop

The complete startup lifecycle:

1. Ideation: Generate and refine startup ideas
2. Market Research: Analyze market size and competition
3. Validation: Create landing pages and run experiments
4. MVP Build: Define and build minimum viable product
5. Launch: Deploy and go live
6. Growth: Run growth experiments and optimize
7. Monetization: Test pricing and revenue models
8. Evolution: Continuous iteration and learning

Venture Memory System

• Stores market patterns across ventures
• Records failure lessons for future reference
• Captures successful traction models
• Enables cross-venture learning

Experimentation Engine

• Landing page generation with A/B testing
• Pricing elasticity experiments
• Feature gate testing
• Conversion funnel optimization

Business Observability

• MRR Tracking: Monthly recurring revenue
• CAC/LTV Analysis: Customer acquisition cost and lifetime value
• Retention Metrics: User retention tracking
• Activation Funnels: Conversion funnel analysis
• Growth Velocity: Growth rate tracking
• Experiment Success Rates: A/B test outcomes

📖 V6 Usage

Create a New Venture

basetree startup "AI tutor for rural students"

This will:

1. Generate a structured startup idea
2. Research the market (TAM/SAM/SOM)
3. Design business model and pricing
4. Define MVP features
5. Create validation experiments
6. Set up venture structure

Validate Your Venture

basetree validate <venture-id>

Creates landing page variants and validation experiments.

Launch Your Venture

basetree launch <venture-id>

Builds and deploys the MVP.

Grow Your Venture

basetree grow <venture-id>

Runs growth experiments, SEO optimization, and funnel design.

Monetize Your Venture

basetree monetize <venture-id>

Tests pricing models and optimizes revenue.

View Business Metrics

basetree metrics --venture <venture-id>

Shows MRR, CAC/LTV, retention, funnels, and experiment results.

Shutdown a Venture

basetree shutdown <venture-id> --reason "Market conditions"

Gracefully shuts down and records lessons learned.

🧬 V5: Self-Architecting Engineering Intelligence

BASETREE V5 is a self-evolving engineering intelligence system that can design, evolve, refactor, and optimize its own internal architecture, reasoning systems, and execution strategies autonomously.

BASETREE V5 builds and evolves itself.

🧬 Core Features

Self-Architecture Engine

• System Introspection Agent: Analyzes BASETREE's internal modules, agent flows, performance bottlenecks
• Upgrade Proposals: Generates architectural upgrade proposals based on introspection
• Self-Modification: Can propose and implement PRs to its own codebase

Continuous Self-Refactoring

• Automatic Code Quality Audits: ESLint/TypeScript integration, cyclomatic complexity checks
• Performance Profiling: Runtime hotspot detection, memory leak detection
• Token Efficiency Tuning: Analyzes and optimizes LLM token usage

Meta-Agent Governance

• Policy Agent: Enforces high-level policies (kernel protection, risk thresholds)
• Stability Agent: Ensures system stability (blast radius, dependency analysis)
• Alignment Agent: Checks alignment with project objectives and safety constraints
• Risk Evaluation Agent: Assigns risk scores based on impact, uncertainty, historical failures
• Governance Orchestrator: Coordinates all governance agents for final decisions

Self-Safety Framework

• Immutable Core Kernel: Protected kernel modules cannot be modified
• Sandboxed Execution: All upgrades run in isolated sandbox workspaces
• Cryptographic Integrity: Hash-based verification of code changes
• Rollback System: Automatic rollback on regression failures

Cognitive Evolution Layer

• Reasoning Optimizer: Adjusts reasoning depth and strategies based on performance
• Strategy Mutation: A/B testing of execution strategies
• Prompt Genome: Evolves prompt templates using reinforcement learning
• Reinforcement Learner: Learns from execution outcomes to improve decisions

Self-Observability Plane

• Cognitive Drift Metrics: Tracks architectural changes over time
• Architectural Entropy: Measures system complexity and organization
• Learning Velocity: Tracks improvement rate and success trends
• Failure Surface Mapping: Identifies failure hotspots and patterns

🚀 Installation

1. Clone the repository:

   git clone <repo-url>
   cd Basetree

2. Install dependencies:

   npm install

3. Build the project:

   npm run build

Install as global CLI (npm)

Once published to npm, you (or other users) can install BASETREE as a global CLI:

npm install -g @vishal_20/basetree
basetree --help
basetree chat
basetree ui

📖 Usage

Self-Evolution Pipeline

Run the full self-evolution cycle:

npm run evolve
# or
basetree evolve

This will:

1. Snapshot current system state
2. Run system introspection
3. Generate upgrade proposals
4. Evaluate proposals through governance
5. Apply approved upgrades in sandbox
6. Run regression tests
7. Apply to main workspace if tests pass

Dry Run Mode

See what would be done without applying changes:

basetree evolve --dry-run

System Introspection

Run introspection alone to see system analysis:

basetree introspect
# or with JSON output
basetree introspect --output json

Governance Review

Review and evaluate proposals:

# Review all pending proposals
basetree govern --all-pending

# Review specific proposal
basetree govern --proposal-id <id>

Metrics Dashboard

View observability metrics:

basetree metrics
# or JSON format
basetree metrics --format json

🏗️ Architecture

V6 Venture Structure

Each venture is a self-contained project in ventures/<slug>/:

ventures/
  <slug>/
    package.json          # Project dependencies
    src/                  # Source code
    landing/              # Landing page variants
    experiments/          # Experiment configs
    README.md             # Venture documentation

Core Components

• Kernel: Immutable core runtime with event bus, agent registry, state store
• Event Bus: Typed event system for system-wide communication
• State Store: Versioned storage for snapshots, proposals, runs, metrics, ventures, experiments
• Safety Layer: Sandbox, kernel guard, integrity checker, rollback manager
• Venture Memory: Cross-venture learning and pattern storage

Agents

• System Introspection Agent: Analyzes codebase architecture
• Governance Agents: Policy, Stability, Alignment, Risk evaluation
• Upgrade Agents: Planner and Executor for implementing changes
• Regression Agent: Runs tests and validates upgrades
• Cognitive Evolution Agents: Reasoning optimizer, strategy mutation, prompt genome, RL learner

Pipelines

• Evolve Pipeline: Full self-evolution cycle
• Introspect Pipeline: System analysis and reporting
• Governance Review Pipeline: Proposal evaluation

🛡️ Safety Guarantees

1. Kernel Protection: Core kernel modules are immutable and cannot be modified
2. Sandboxed Execution: All upgrades run in isolated workspaces
3. Governance Approval: All changes require approval from meta-agents
4. Regression Testing: Full test suite runs before applying changes
5. Automatic Rollback: Failed upgrades are automatically rolled back
6. Integrity Verification: Cryptographic hashes verify code integrity

📊 Observability

BASETREE V5 provides comprehensive observability:

• Cognitive Drift: Track how architecture evolves over time
• Architectural Entropy: Measure system complexity and organization
• Learning Velocity: Monitor improvement rate and success trends
• Failure Surface: Identify failure hotspots and common patterns
• Metrics Dashboard: Real-time metrics on all system operations

🔧 Configuration

Create basetree-v5.config.json in your workspace root:

{
  "safety": {
    "kernelGuardEnabled": true,
    "protectedPaths": ["src/kernel", "src/safety"],
    "maxRiskLevel": "medium",
    "requireGovernanceApproval": true
  },
  "thresholds": {
    "maxComplexity": 50,
    "maxBlastRadius": 10,
    "maxRiskScore": 0.7,
    "minStabilityScore": 0.6,
    "minAlignmentScore": 0.7
  }
}

🧪 Testing

Run the test suite:

npm test

📝 Development

Project Structure

src/
├── agents/          # All agent implementations
├── kernel/          # Core kernel and event bus
├── safety/          # Safety framework
├── state/           # State store and snapshotter
├── pipelines/       # Pipeline implementations
├── observability/   # Metrics and reporting
├── quality/         # Code quality analyzers
├── performance/     # Performance profilers
├── llm/             # LLM optimization
├── types/           # TypeScript type definitions
├── config/          # Configuration loader
├── cli.ts           # CLI interface
├── bootstrap.ts     # System bootstrap
└── index.ts         # Main entry point

🎯 How It Works

1. Introspection: System analyzes its own codebase, identifying bottlenecks and improvement opportunities
2. Proposal Generation: Creates structured upgrade proposals with risk assessments
3. Governance Review: Meta-agents evaluate proposals for safety, stability, alignment, and risk
4. Sandboxed Execution: Approved proposals are applied in isolated sandbox workspaces
5. Regression Testing: Full test suite validates that upgrades don't break functionality
6. Safe Application: If tests pass, upgrades are applied to main workspace
7. Rollback on Failure: Any failures trigger automatic rollback to previous state
8. Learning: System learns from outcomes to improve future proposals

🔮 Future Enhancements

• Web-based dashboard for observability metrics
• Integration with external LLM providers for code generation
• Advanced AST-based code transformations
• Multi-agent collaboration for complex refactorings
• Continuous monitoring and auto-evolution

Built with ❤️ by the BASETREE team

Version: 6.0.0
Status: Self-Evolving 🧬 | Building Companies 🚀