The future of software development is not about replacing developers, but amplifying their capabilities with intelligent AI collaboration.
Features β’ Quick Start β’ Architecture β’ Commands β’ Documentation
VALORA (Versatile Agent Logic for Orchestrated Response Architecture) is a next-generation TypeScript-based platform designed to orchestrate a sophisticated network of AI agents to automate the complete software development lifecycle. By moving beyond simple "code generation", VALORA manages the delicate interplay between requirements, architecture, and deployment. VALORA provides intelligent automation while maintaining human oversight.
Intelligent Orchestration: VALORA coordinates 11 specialised AI agents, from @lead technical oversight to @secops-engineer compliance, ensuring the right expert is assigned to every task.
Three-Tier Flexibility: The engine adapts to your resources, offering MCP Sampling, Guided Completion, or API Fallback modes.
Phased Governance: Every project follows a rigorous 8-phase lifecycle, moving from initialisation and planning through implementation to validation and PR creation.
Strategic Optimisation: To balance depth and speed, VALORA assigns specific LLMs (like GPT-5 for planning or Claude Haiku for validation) based on the task's complexity.
VALORA is not a replacement for the developer; it is the high-fidelity instrument through which the developer conducts a full symphony of AI agents.
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11 specialised AI agents with distinct expertise:
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Flexible execution modes for every use case:
*When available in Cursor Zero configuration required β works immediately with your Cursor subscription. |
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Strategic AI model assignment for cost efficiency:
31% strategic β’ 31% execution β’ 38% fast |
Enterprise-grade security controls:
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Live visibility into parallel explorations:
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Connect to 15 external MCP servers with user approval:
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- Node.js 18+
# Install globally
pnpm add -g @windagency/valora # pnpm
yarn global add @windagency/valora # yarn
npm install -g @windagency/valora # npm
# Verify installation
valora --version
# Should output: 2.1.3Initialise VALORA in your project:
cd your-project
valora init # Minimal setup (.valora/config.json)
valora init --full # Full setup with override directories# Create an implementation plan
valora plan "Add user authentication with OAuth"The engine will:
- Select the appropriate agent (
@lead) - Gather codebase context
- Generate a detailed implementation plan
- Provide step-by-step guidance
No API keys? No problem. The engine works immediately using Guided Completion Mode:
valora plan "Add dark mode toggle"
# β Generates structured prompt for Cursor AI
# β Uses your Cursor subscription (free)For fully autonomous execution:
valora config setup --quick
# Or set environment variables
export ANTHROPIC_API_KEY=sk-ant-...
export OPENAI_API_KEY=sk-...βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β VALORA β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β β
β βββββββββββββββ ββββββββββββββββ βββββββββββββββ βββββββββββββββ β
β β CLI Layer β β Orchestrator β β Agent Layer β β LLM Layer β β
β β ββββ ββββ ββββ β β
β β β’ Commands β β β’ Pipeline β β β’ Registry β β β’ Anthropic β β
β β β’ Wizard β β β’ Executor β β β’ Selection β β β’ OpenAI β β
β β β’ Output β β β’ Context β β β’ Loading β β β’ Google β β
β βββββββββββββββ ββββββββββββββββ βββββββββββββββ βββββββββββββββ β
β β
β βββββββββββββββ ββββββββββββββββ βββββββββββββββ βββββββββββββββ β
β β Session β β Config β β MCP β β Services β β
β β β β β β β β β β
β β β’ State β β β’ Loader β β β’ Server β β β’ Logging β β
β β β’ Context β β β’ Schema β β β’ Tools β β β’ Cleanup β β
β β β’ History β β β’ Providers β β β’ Prompts β β β’ Utils β β
β βββββββββββββββ ββββββββββββββββ βββββββββββββββ βββββββββββββββ β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
| Principle | Implementation |
|---|---|
| Modularity | Loosely coupled components with clear interfaces |
| Extensibility | Plugin architecture for agents, commands, providers |
| Testability | Comprehensive test suites (unit, integration, e2e) |
| Observability | Structured logging and session tracking |
| Resilience | Graceful fallbacks and error recovery |
| Command | Agent | Description |
|---|---|---|
refine-specs |
@product-manager | Collaboratively refine specifications |
create-prd |
@product-manager | Generate Product Requirements Document |
create-backlog |
@product-manager | Decompose PRD into tasks |
fetch-task |
@product-manager | Retrieve next priority task |
refine-task |
@product-manager | Clarify task requirements |
gather-knowledge |
@lead | Analyse codebase context |
plan |
@lead | Create implementation plan |
review-plan |
@lead | Validate plan quality |
implement |
Dynamic | Execute code changes |
assert |
@asserter | Validate implementation |
test |
@qa | Execute test suites |
review-code |
@lead | Code quality review |
review-functional |
@lead | Functional review |
commit |
@lead | Create conventional commits |
create-pr |
@lead | Generate pull request |
feedback |
@product-manager | Capture outcomes |
βββββββββββββββββββββββ βββββββββββββββββββββββ βββββββββββββββββββββββ
β Planning β β Implementation β β Delivery β
βββββββββββββββββββββββ€ βββββββββββββββββββββββ€ βββββββββββββββββββββββ€
β β’ refine-specs β β β’ implement β β β’ commit β
β β’ create-prd β β β’ assert β β β’ create-pr β
β β’ plan β β β’ test β β β’ feedback β
β β’ review-plan β β β’ review-code β β β
β β’ gather-knowledge β β β’ review-functional β β β
βββββββββββββββββββββββ βββββββββββββββββββββββ βββββββββββββββββββββββ
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Getting started, workflows, |
Architecture, codebase, |
System design |
documentation/
βββ README.md # Documentation entry point
βββ user-guide/ # For users
β βββ quick-start.md # 5-minute getting started
β βββ workflows.md # Common patterns
β βββ commands.md # Command reference
βββ developer-guide/ # For developers
β βββ setup.md # Development environment
β βββ codebase.md # Code structure
β βββ contributing.md # How to contribute
βββ architecture/ # For architects
β βββ system-architecture.md # C4 diagrams
β βββ components.md # Component design
β βββ data-flow.md # Data flow patterns
βββ adr/ # Decision records
βββ 001-multi-agent-architecture.md
βββ ...
βββ 008-pretooluse-cli-enforcement.md
βββ 009-supply-chain-hardening.md
valora refine-specs "User authentication with OAuth"
valora create-prd
valora create-backlog
valora fetch-task && valora plan
valora implement
valora review-code && valora commit
valora create-prvalora plan "Fix: Login timeout issue"
valora implement
valora test --type=all
valora commit --scope=fixvalora review-code --focus=security
valora review-functional --check-a11y=truevalora/ # npm package root
βββ bin/ # CLI entry points
β βββ valora.js # Main CLI
β βββ mcp.js # MCP server
βββ src/ # TypeScript source
β βββ cli/ # Command-line interface
β βββ config/ # Configuration management
β βββ executor/ # Pipeline execution
β βββ llm/ # LLM provider integrations
β βββ mcp/ # MCP server implementation
β βββ session/ # Session management
β β βββ worktree-stats-tracker.ts # Worktree usage statistics
β βββ ui/ # Terminal UI (dashboard, panels)
β βββ utils/ # Utilities & path resolution
β βββ ...
βββ data/ # Built-in resources (shipped with package)
β βββ agents/ # Agent definitions (11 agents)
β βββ commands/ # Command specifications (24 commands)
β βββ prompts/ # Structured prompts by phase
β βββ templates/ # Document templates
β βββ hooks/ # Hook scripts
β βββ config.default.json # Default configuration
β βββ hooks.default.json # Default hooks config
β βββ external-mcp.default.json # External MCP server registry
βββ dist/ # Compiled output (gitignored)
βββ tests/ # Test suites
βββ documentation/ # Comprehensive docs
βββ package.json
When installed in a project, VALORA supports a .valora/ directory for local overrides:
.valora/ # Project-specific configuration
βββ config.json # Project settings (overrides defaults)
βββ agents/ # Custom/override agent definitions
βββ commands/ # Custom/override command specs
βββ prompts/ # Custom/override prompts
βββ templates/ # Custom/override templates
βββ sessions/ # Session state (gitignored)
βββ logs/ # Execution logs (gitignored)
βββ cache/ # Cache data (gitignored)
Resources in .valora/ take precedence over built-in data/ resources.
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| Innovation | Impact |
|---|---|
| Multi-Agent Orchestration | Specialised agents produce expert-level output |
| Three-Tier Execution | Flexibility from free to fully automated |
| Session Persistence | Context flows naturally between commands |
| Dynamic Agent Selection | Right expert for every task |
| Quality Gates | Multiple checkpoints prevent technical debt |
| Category | Technologies |
|---|---|
| Runtime | Node.js 18+, TypeScript 5.x |
| Package Manager | pnpm 10.x |
| Build | tsc, tsc-alias |
| Testing | Vitest, Playwright |
| LLM SDKs | @anthropic-ai/sdk, openai, @google/generative-ai |
| CLI UI | Ink (React), Chalk, Commander |
| Validation | Zod |
| MCP | @modelcontextprotocol/sdk |
MIT Β© Damien TIVELET
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