Private AI for your codebase.
Analyze, understand, and document your software with the AI model you choose — while keeping complete control of your source code.
Analyzing Repository...
Project: ecommerce-platform • Model: Qwen 2.5 Coder
THE CODEBASE KNOWLEDGE GAP
Your codebase already contains the answers. Finding them shouldn't take hours.
Engineers spend over 30% of their time navigating code structure rather than building features.
Outdated Documentation
Code evolves daily, but markdown docs quickly drift out of sync, creating misleading technical references for your team.
Scattered Architecture Context
System flow, database schemas, and API contracts are fragmented across dozens of source files and configuration scripts.
Incomplete API References
Understanding input schemas, error bounds, and response contracts requires digging through implementation code manually.
Knowledge Loss on Offboarding
When senior engineers leave, critical architectural context and implicit design choices disappear with them.
Opaque Dependency Risks
Security boundaries, sensitive credentials, and implicit dependencies remain difficult to audit across large codebases.
Cloud Data Privacy Concerns
Many teams cannot risk uploading proprietary, regulated, or client source code to external third-party AI cloud services.
THE VaultDoc PIPELINE
Give your codebase an AI-powered understanding layer.
A continuous four-stage analysis pipeline engineered specifically for software repositories.
Step 1 — Analyze
VaultDoc scans relevant project files and builds a full Abstract Syntax Tree (AST) to map methods, classes, dependencies, and configuration boundaries without uploading files.
Step 2 — Retrieve
Relevant code snippets, API signatures, database schemas, and config files are indexed into a local vector store for precise, code-aware contextual retrieval.
Step 3 — Reason
The selected AI model (Ollama local model or cloud API choice) receives rich codebase context to reason deeply about your application's architecture.
Step 4 — Generate
VaultDoc produces comprehensive, ready-to-publish architecture overviews, API references, security audits, and project READMEs.
Your code is yours. Keep it that way.
With local processing, VaultDoc can analyze your codebase without requiring your source code to leave your machine.
Local Processing Pipeline
Execution Boundary: YOUR MACHINE ONLY
Zero External Code Transfer
Source code, embeddings, and vector indices reside exclusively on your machine. Ideal for proprietary enterprise codebases, financial systems, healthcare apps, and strict compliance environments.
- Runs fully offline without internet connection
- Uses Ollama, LM Studio, or local GGUF models
- Local LanceDB vector store stored in ~/.VaultDoc
Bring Your Own API Keys
When developers want maximum reasoning throughput or multi-modal documentation synthesis, VaultDoc connects seamlessly to supported cloud model providers using your own API key.
- Support for OpenAI (GPT-4o), Anthropic (Claude 3.5), Gemini
- Only minimal required code context chunks sent per query
- Switch between Local and Cloud modes with 1 click
MODEL-AGNOSTIC INTELLIGENCE
Your model. Your choice.
VaultDoc is designed to work with the AI stack you prefer — from local open-weights to high-throughput cloud APIs.
Qwen 2.5 Coder
State-of-the-art open coding model optimized for repository analysis and AST synthesis.
DeepSeek R1
Reasoning-first architecture ideal for auditing complex codebase dependencies.
Llama 3.3
High-capacity general open model for generating detailed architectural documentation.
Custom GGUF / Ollama
Connect to any custom local LLM endpoint running on localhost:11434.
Claude 3.5 Sonnet
Exceptional code reasoning capability for large-scale enterprise refactoring analysis.
GPT-4o
High-speed multi-modal code understanding and structured JSON output generation.
Gemini 1.5 Pro
Extremely long context window capable of ingesting massive repository structures.
DOCUMENTATION GENERATION
From codebase to documentation.
Automatically transform messy source code into structured, professional technical documentation.
# System Architecture & Data Flow ## Overview VaultDoc parsed 142 source files in `ecommerce-platform` to map core dependencies. ```mermaid [Frontend Next.js] --> [API Gateway /api/checkout] [API Gateway] --> [CheckoutService] [CheckoutService] --> [StripeAdapter] [CheckoutService] --> [PostgreSQL Database] ``` ## Core Subsystems 1. **API Gateway (`src/app/api/`)**: Validates payload schemas and rates limits incoming requests. 2. **Payment Engine (`src/services/payment/`)**: Wraps third-party PCI-compliant endpoints with strict fallback retries. 3. **State Management**: Uses PostgreSQL with Prisma ORM for transactional consistency.
Built to understand code, not just read text.
VaultDoc uses structured AST parsing, semantic chunking, and local LanceDB vector retrieval instead of dumping entire repositories blindly into an LLM.
1. Code Files
Scans project structure (.ts, .py, .go, .rs, .java) ignoring build output.
2. AST Parsing
Extracts abstract syntax trees to identify function signatures, classes, and call sites.
3. Smart Chunking
Splits code along semantic boundaries instead of arbitrary token character limits.
4. Local Embeddings
Generates code vector embeddings locally without cloud network requests.
5. Vector Index
Stores vector embeddings in a fast, embedded LanceDB vector database on disk.
6. RAG & AI Reasoning
Retrieves only high-relevance context for the target LLM to generate precise docs.
Generic AI tools often hallucinate or truncate large codebases because they treat source code as plain text sentences. VaultDoc builds AST syntax trees to guarantee that function call hierarchies and cross-module imports are never missed.
For developers who live in the terminal.
Run automated codebase indexing and documentation generation straight from your terminal or shell scripts.
TARGET USE CASES
Built for people who work with code.
Engineered for developers, founders, and security-conscious engineering teams.
Individual Developers
Understand unfamiliar open-source or legacy repositories 5x faster.
Freelancers & Consultants
Deliver sleek, professional technical documentation to client handoffs in minutes.
Startups & Growth Teams
Ship automatic API references and architecture guides without adding overhead.
Engineering Teams
Preserve institutional knowledge and streamline onboarding for new hires.
Privacy-Sensitive Projects
Deploy local AI processing when analyzing confidential, financial, or healthcare code.
How VaultDoc changes developer productivity
Built for what comes next.
We are building a privacy-first foundation today and expanding codebase intelligence tools for tomorrow.
PRICING & LICENSING
Simple, developer-friendly licensing.
No public download yet. Reserve early access and lock in private beta founding pricing.
Community
For individual developers exploring local-first codebase intelligence.
Pro License
For professional developers who need advanced analysis and PDF exports.
Enterprise
For engineering organizations requiring custom security & deployment.
Be first to use VaultDoc.
Join the private beta waitlist and get early access when VaultDoc launches.
Got questions? We've got answers.
Everything you need to know about VaultDoc privacy, local AI models, and architecture.
Your codebase deserves better documentation.
Analyze it privately. Understand it faster. Document it automatically.