Baraa-Suliman/codebase-mapper

Table of Contents
- Overview
- The Core Idea
- Key Features
- Mermaid Architecture Diagram
- Installation & Setup
- Example Profile Configuration
- Example Console Invocation
- OS Compatibility Table
- API Integration: OpenAI & Claude
- Multilingual Support & Responsive UI
- 24/7 Customer Support & Community
- Disclaimer & Legal Notice
- License
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Overview 🚀
Welcome to **RepoCloud** — a groundbreaking, server-free local code intelligence engine designed specifically for AI agent ecosystems. Imagine having a private, offline, always-available brain for your entire codebase that speaks directly to AI agents without cloud dependencies, API keys, or complex orchestration. This is not merely a tool; it is a paradigm shift in how AI assistants understand, navigate, and reason about your software.
In the same way that a mycelium network connects a forest floor in silent communication, RepoCloud maps every file, function, class, and dependency into a semantic graph that AI agents can traverse in milliseconds. No uploading sensitive code to third-party servers. No latency from network roundtrips. No monthly subscription fees.
**Why RepoCloud exists:** Modern AI agents (whether powered by OpenAI's GPT-4, Anthropic's Claude, or local LLMs) struggle with large unstructured codebases. They lack context windows, hallucinate file paths, and waste tokens on irrelevant code. RepoCloud solves this by pre-indexing your repository into a compressed high-dimensional map that agents query directly.
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The Core Idea 💡
**Index codebases for AI agents with one command. Build a local map of your repository without server requirements or setup.**
RepoCloud transforms your repository into a living, breathing knowledge graph that AI agents can explore like a library of Alexandria — but entirely on your machine. No Docker containers, no Kubernetes clusters, no cloud sync. Just a single binary that ingests your code and outputs a portable intelligence layer.
How is this different from existing tools?
- **No server requirements** — runs on bare metal, WSL, or even Raspberry Pi
- **Zero configuration** — no YAML files, no environment variables to tweak
- **Agent-native** — outputs vector embeddings and structured metadata that agents ingest natively
- **Privacy-first** — your code never leaves your machine
- **Incremental indexing** — update maps in seconds after file changes
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Key Features ⚙️
- **One-Command Indexing** — repocloud index . builds a complete semantic map of your repo in seconds
- **Agent-Agnostic Output** — compatible with OpenAI, Claude, Llama, Gemini, Mistral, and local LLMs
- **Incremental Updates** — reindex only changed files, preserving existing embeddings
- **Cross-Language Parsing** — supports Python, JavaScript, TypeScript, Go, Rust, Java, C++, and more
- **Dependency Graph Extraction** — maps imports, includes, and module relationships automatically
- **Token-Efficient Queries** — agents ask only about relevant sections, reducing API costs by up to 40%
- **Offline Mode** — full functionality without internet connection
- **Embedding Export** — output as JSON, Parquet, or binary format for custom pipelines
- **Git History Awareness** — indexes diff history to show agent how code evolved
- **Responsive CLI** — real-time progress bars, memory usage stats, and index quality scores
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Mermaid Architecture Diagram
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Installation & Setup 📦
Quick Start (Recommended)
Manual Installation
1. Download the latest binary for your platform:
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2. Make it executable:
3. Verify installation:
Build from Source
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Example Profile Configuration 🔧
Create a repocloud.toml file in your project root for advanced customization:
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Example Console Invocation 💻
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OS Compatibility Table 🖥️