"You have an agent — but do you have a CADI?"
CADI is a content-addressed build system that treats software artifacts as immutable chunks identified by their content hash. It supports multiple representations (source code, WASM IR, native binaries, and OCI containers) and provides intelligent dependency resolution, caching, and verification.
Save development time with automatic build graph resolution, cross-platform support, and seamless integration with LLMs via MCP.
CADI workflow: Search existing atoms, expand context with ghost imports, assemble virtual views. Only write new code when necessary.
Every artifact is an immutable chunk identified by its SHA-256 hash, ensuring integrity and deduplication.
Store source code, WASM IR, native binaries, and OCI containers - all linked to the same chunk.
Automatically resolve and cache build dependencies across projects and platforms.
AI assistants get virtual views with ghost imports, preventing hallucinations and saving 40% on tokens.
The main command-line interface for building, publishing, and managing CADI chunks.
cadi build --target x86_64-linux
Distributed registry for storing and sharing chunks with federation support.
CADI_BIND=0.0.0.0:8080 cadi-server
Focused agent infrastructure: virtual views, ghost imports, graph queries. The OS for the agentic era.
cadi-mcp-server
Rust crates: graph store, smart atomizer, ghost resolver, virtual rehydration. The foundation for agentic development.
cadi-core, cadi-builder, cadi-scraper
Extend CADI's capabilities with community-built extensions. From language atomizers to build backends, find everything you need to customize CADI for your workflow.
Support for additional programming languages
Parse Java classes and methods into atomic chunks
FreeComing Soon: Python functions and classes
FreeComing Soon: Go packages and functions
FreeCustom build targets and deployment options
Build OCI containers from CADI chunks
$9.99Deploy serverless functions
$14.99iOS and Android app bundles
$19.99Alternative storage backends
AWS S3 and compatible services
$4.99Distributed storage on IPFS
$7.99LDAP integration and SSO
$49.99Enhanced AI agent capabilities
Automated test generation
$12.99Vulnerability detection and fixes
$24.99Code optimization and analysis
$16.99Join the CADI ecosystem and share your extensions with the community. Earn 70% revenue share on commercial extensions.
Core CADI functionality
$29/month per user
$99/month per user
Like Crates.io for Rust or NPM for JavaScript, CADI will host a public repository for open source software artifacts. Developers can publish, discover, and reuse chunks across projects.
Coming Soon: Browse chunks, view analytics, manage dependencies
AI assistants integrate directly with CADI via Model Context Protocol for seamless development.
cadi_search "auth middleware"
cadi_build --target linux-x86_64
Traditional developers can use CADI to bootstrap projects quickly, assembling 80% of the codebase from reusable chunks and manually coding the remaining unique logic.
cadi.yaml with required components and dependencies
cadi query "web-framework authentication" - Browse registry for suitable
components
cadi import ./src - Convert your unique logic into manageable CADI chunks
cadi build --target linux-x86_64 - Compile and verify the complete
application
cadi scaffold will automatically generate project boilerplate from
manifests
Even without LLMs, CADI transforms development from writing everything from scratch to composing proven components and coding only what makes your project unique.
Humans and AI collaborate using CADI's token-efficient summaries and MCP integration. When components don't exist, LLMs generate production-ready code.
cadi build --verify-integrity
CADI identifies gaps and prompts LLM for targeted code generation.
// CADI: "custom-rate-limiter not found in registry"
// LLM generates context-aware code:
export class RateLimiter {
private attempts = new Map();
isAllowed(key: string, limit: number, windowMs: number): boolean {
const now = Date.now();
const window = this.attempts.get(key) || [];
const valid = window.filter(time => now - time < windowMs);
if (valid.length >= limit) return false;
valid.push(now);
this.attempts.set(key, valid);
return true;
}
} A 3-person team building a secure payment processing system.
Scenario: Needed PCI-compliant encryption, webhook handling, and fraud detection.Distributed team of 8 developers scaling an online retail system.
Scenario: Required real-time inventory tracking with Redis caching and REST API.Engineering team of 5 building a web dashboard for IoT device monitoring.
Scenario: Needed real-time charts, device authentication, and alert system.Individual developer publishing a command-line utility for data processing.
Scenario: Needed argument parsing, file I/O, and data transformation features.When CADI cannot find a suitable chunk in the registry, it seamlessly integrates with LLMs to generate the required code. The system provides context about existing dependencies and generates production-ready code that fits the project's architecture.
// CADI detects missing component
"Error: No chunk found for 'custom-validation-middleware'
// LLM generates based on project context:
export function validateUserInput(data: any): ValidationResult {
// Generated validation logic...
}