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Dev Ecosystem

A unified platform of developer tools built as independent, production-grade products that share a common foundation — designed to work together as an ecosystem and stand alone as individual products.


Table of Contents


What Is This Ecosystem?

The Dev Ecosystem is a collection of developer-facing tools and infrastructure components built by a single author, designed with one guiding principle:

Each product must be able to survive, grow, and be monetized independently — but together they form something larger.

This is not a monolith and not a loose collection of scripts. It is a platform — structured like the foundation layer of a company, where every component follows shared standards for errors, logging, schemas, billing, and security.

The ecosystem currently includes tools for:

  • Media processing (images, video, audio) — MediaProc
  • Workflow automation and orchestration — Orbyt
  • Secret and credential management — Vaulta
  • Project scaffolding and dev environment tooling — DevForge
  • Modern HTTP networking — Voxa
  • AI-powered developer assistant (planned) — Dev Companion

The Problem This Ecosystem Solves

The Fragmentation Problem

Modern software development requires a developer to assemble and maintain a fragmented stack of tools that were never designed to work together:

  • FFmpeg for video, ImageMagick for images, SoX for audio — each with completely different APIs and mental models
  • GitHub Actions or cron for automation, but with no local execution story and no way to embed in your own tooling
  • dotenv files, .env.local, AWS Secrets Manager, HashiCorp Vault — different tools for different environments, never composable
  • create-react-app, Vite, custom scripts — project scaffolding that diverges per framework, per team, per year
  • Axios, node-fetch, ky, got — HTTP clients that each solve one problem well and leave everything else to the developer

Every category has tools. But no category has a platform — a coherent set of tools that feel like they were designed by the same hand, follow the same conventions, and can work together when needed.

What Breaks When Tools Don't Compose

When a developer tries to build a real automated workflow — e.g. "resize these images, upload to S3, update the database, send a confirmation email" — they face:

  1. No shared error language — each tool fails differently, logs differently, and exits with different codes
  2. No orchestration — they write ad-hoc shell scripts or GitHub Actions YAML that breaks outside CI
  3. No secret management — credentials are hardcoded, in .env files, or scattered across cloud consoles
  4. No observability — no unified view of what ran, what failed, how long it took
  5. No billing — when automation scales, costs are invisible until the AWS bill arrives

This is the gap this ecosystem fills.

What This Ecosystem Provides Instead

Problem Solution
Fragmented media processing tools MediaProc — one CLI, one syntax, all media types
No local-first automation engine Orbyt — YAML workflows, DAG execution, runs everywhere
Insecure credential management Vaulta — encrypted local secrets, Git-backed, zero-knowledge
Repetitive project setup DevForge — scaffold any project type in seconds
HTTP client that needs 5 libraries Voxa — modular HTTP client, install only what you need
No unified developer interface Dev Companion — AI assistant that orchestrates all of the above
Inconsistent errors and exit codes ecosystem-core — shared error standard across all products
Invisible automation costs Billing Engine — usage event tracking from day one

The Bigger Vision

Right now, a developer building a serious automation project has to:

  1. Learn FFmpeg flags for image processing
  2. Write cron + bash for scheduling
  3. Hardcode API keys or set up a cloud vault
  4. Bootstrap a new project for every workflow
  5. Handle HTTP edge cases manually
  6. Debug silent failures with no observability

With this ecosystem fully realized:

# One day this should work
dev-companion run "resize all product images in ./photos to WebP, upload to S3, and notify me via email"

Dev Companion translates that into an Orbyt workflow, loads secrets from Vaulta, runs MediaProc for images, uses Voxa for HTTP, and gives you a structured execution report — all locally, all verifiable, all auditable.

That gap — between natural language and reliable execution — is what this ecosystem is working toward.


Core Philosophy

1. Products First, Ecosystem Second

Every tool here can be installed and used completely independently. A developer using only MediaProc never needs to know Orbyt exists. A team deploying only Orbyt never needs Vaulta. Integration is opt-in, not forced.

2. Shared Standards, Not Shared Code

Components do not share business logic or runtime dependencies. They share standards — a common error code schema, exit code conventions, logging format, billing event structure, and workflow schema. This is enforced through @dev-ecosystem/core.

3. Billing is a Consumer, Not a Component

No product contains billing logic. Products emit usage events. A separate billing engine consumes those events and calculates cost. This keeps execution logic pure and billing logic centralized.

4. Adapters, Not Dependencies

Orbyt (the automation engine) does not import MediaProc. MediaProc does not import Orbyt. Integration is done entirely through the adapter pattern — MediaProc provides a MediaProcAdapter that Orbyt can load. This is the same pattern used by HashiCorp's plugin ecosystem.

5. Independent Org Structure

Each product lives under its own npm organization:

Product npm Org
MediaProc @mediaproc/*
Orbyt @orbytautomation/*
Vaulta Rust crate (vaulta)
DevForge @dev-forge/*
Voxa @voxa-http/*
Foundation @dev-ecosystem/*

This allows each product to be open-sourced, published, monetized, or spun off as a company independently.


Ecosystem Architecture

┌─────────────────────────────────────────────────────────────────┐
│                        Dev Companion (AI Orchestrator)          │
│                 (planned — the unified interface layer)         │
└────────────────────────────┬────────────────────────────────────┘
                             │ orchestrates
         ┌───────────────────┼───────────────────┐
         ▼                   ▼                   ▼
   ┌──────────┐       ┌──────────┐       ┌──────────┐
   │ MediaProc│       │  Orbyt   │       │  Vaulta  │
   │  CLI +   │       │ Workflow │       │  Secret  │
   │ Plugins  │       │  Engine  │       │  Store   │
   └────┬─────┘       └────┬─────┘       └──────────┘
        │                  │
        │ adapter          │ runs workflows that use
        └──────────────────┘
                 │
         ┌───────▼────────┐
         │  OrbytEngine   │
         │  (universal    │
         │  execution     │
         │  engine)       │
         └───────┬────────┘
                 │ emits usage events
                 ▼
         ┌───────────────┐
         │ Billing Engine│
         │ (core layer)  │
         └───────────────┘
                 ▲
                 │ shared standards
         ┌───────┴───────────────┐
         │  @dev-ecosystem/core  │
         │  (error codes,        │
         │   schemas, logging,   │
         │   exit codes, types)  │
         └───────────────────────┘

Bridges

Bridges are thin integration packages that connect products to shared platform services (billing, analytics, identity, observability) without creating hard dependencies. A product imports a bridge, and the bridge talks to the platform service.

Product → Bridge → Platform Service

Products

🎬 MediaProc

Repository: github.com/0xshariq/mediaproc
npm: @mediaproc/cli
Status: ✅ Stable — v1.0.0

Problem it solves:
Video needs FFmpeg. Images need ImageMagick. Audio needs SoX. Each has a completely different CLI syntax, different error output, and a steep learning curve. A developer doing routine batch processing ends up writing brittle shell scripts that glue these tools together. There is no single modern CLI that handles all media types with consistent, developer-friendly commands.

MediaProc is that CLI. One tool. One install. One mental model — regardless of whether you are resizing images, compressing video, or normalizing audio.

Key Features:

  • Plugin architecture — install only what you need (mediaproc add image)
  • Consistent command syntax across image, video, and audio
  • Preset system — --preset web instead of raw FFmpeg flags
  • Advanced --explain flag (human, verbose, JSON output modes)
  • 47 image commands, 8 video commands, 6 audio commands (v1.0.0)
  • Pipeline plugin powered by Orbyt engine for YAML-based media automation

Package Structure:

@mediaproc/cli        — CLI entry point
@mediaproc/core       — Shared utilities, error types, file helpers
@mediaproc/pipeline   — Orbyt-powered declarative pipeline plugin

Quick Start:

npm install -g @mediaproc/cli

mediaproc add image
mediaproc image resize photo.jpg --width 1920 --height 1080
mediaproc image convert *.jpg --format webp --quality 85

mediaproc add video
mediaproc video compress movie.mp4 --quality high

mediaproc add audio
mediaproc audio convert song.wav --format mp3

⚙️ Orbyt

Repository: github.com/0xshariq/orbyt
npm: @orbytautomation/engine
Status: ✅ Engine stable v0.6.0 — CLI in active development

Problem it solves:
GitHub Actions only works in CI. Temporal requires a server cluster. Custom shell scripts are not portable, not replayable, and fail silently. Cron jobs are blind — no logs, no retries, no dependency ordering. There is no lightweight, local-first automation engine that a developer can embed in their own tool, run from a CLI, and extend with custom adapters.

Orbyt is that engine. It defines a workflow language (YAML), executes steps in dependency order (DAG), handles retries and timeouts, fires lifecycle events, and runs entirely locally — with no cloud dependency required.

Key Concepts:

  • Workflow — A YAML file defining steps, dependencies, inputs, retry logic, and timeout rules
  • Step — A single unit of work executed through an adapter (uses: mediaproc.image.resize)
  • Adapter — A plugin that handles a specific action namespace (built-in or external)
  • DAG Execution — Steps with dependencies run in topological order; independent steps run in parallel
  • Event Bus — Lifecycle events emitted on every state transition (step started, completed, failed)
  • Dry-run / Explain — Validate and visualize what will happen without executing

Built-in Adapters:

  • cli — Shell commands
  • shell — Shell scripts
  • http — HTTP requests
  • fs — Filesystem operations

External Adapters:

  • mediaproc.* — Provided by @mediaproc/pipeline

Package Structure:

@orbytautomation/engine   — Core engine (published on npm)
orbyt/cli                 — Command-line interface (in development)
orbyt/sdks                — Language SDKs (planned)
orbyt/api                 — REST API layer (planned)

Workflow Example:

version: "1.0"
kind: workflow

metadata:
  name: image-pipeline

workflow:
  steps:
    - id: resize
      uses: mediaproc.image.resize
      with:
        input: ./photo.jpg
        output: ./output/resized.jpg
        width: 1280
        height: 720

    - id: convert
      needs: [resize]
      uses: mediaproc.image.convert
      with:
        input: ./output/resized.jpg
        output: ./output/resized.webp
        format: webp

🔐 Vaulta

Repository: github.com/0xshariq/vaulta
Install: cargo install vaulta
Status: ✅ Stable — Rust CLI, local-first

Problem it solves:
API keys end up in .env files committed to git. Tokens get hardcoded in scripts. Teams share credentials over Slack. Cloud vaults (AWS Secrets Manager, HashiCorp Vault) require infrastructure just to store a single key. There is no simple, fast, local-first tool for a developer to store, retrieve, and manage secrets securely — without a cloud account, without a server, without complexity.

Vaulta is that tool. Built in Rust for performance and correctness. Zero network dependency. Encrypted locally with modern cryptographic primitives. Git-compatible for backup.

Security Stack:

  • Argon2 for key derivation with vault-specific salts
  • ChaCha20-Poly1305 for authenticated encryption
  • Zero-knowledge — data never leaves the device
  • Git integration for version-controlled backups

In the Ecosystem:
Vaulta is the secrets backend for Orbyt workflows. A workflow can reference secrets.api_key and Orbyt will resolve it through Vaulta at execution time — no plaintext credentials in workflow files.

secrets:
  vault: vaulta
  keys:
    api_key: services/my-api-key

Quick Start:

cargo install vaulta
vaulta init my-vault
vaulta add github
vaulta list
vaulta copy github

🔧 DevForge

Repository: github.com/0xshariq/devforge-cli
npm: @dev-forge/devforge
Status: ✅ Stable — v1.x, published on npm and Docker Hub

Problem it solves:
Every new project starts the same way: copy-paste a starter, delete what you don't need, reconfigure TypeScript, set up linting, configure deployment. Every team has a slightly different setup. Every framework has a different scaffolding CLI that breaks every year. Project setup wastes hours that should be spent building.

DevForge automates the full project bootstrap — from creation to deployment — across all major frameworks and cloud providers, with a single consistent CLI.

Key Features:

  • Project generation from curated templates (React, Next.js, Express, Angular, Vue, Rust)
  • Cloud deployment to Vercel, AWS, GitHub Pages
  • Codebase analytics — complexity, structure, health diagnostics
  • Dependency auditing across npm, yarn, pnpm
  • Environment health diagnostics and auto-fix
  • Smart caching for repeated operations
  • Docker and Docker Compose support

Quick Start:

npm install -g @dev-forge/devforge

devforge create my-app
devforge analyze
devforge deploy --platform vercel
devforge deps update

🌐 Voxa HTTP Client

Repository: github.com/0xshariq/voxa-http-client
npm: @voxa-http/voxa
Status: ✅ Stable — Core package published, modular architecture complete

Problem it solves:
Axios is 32KB and bundles features most apps never use. Fetch is raw and has no retry, caching, or circuit breaker. ky is lightweight but limited. Got is 180KB and Node-only. Every project solving real HTTP problems ends up importing 4–5 libraries — axios + retry + cache + circuit-breaker + token management — with no unified configuration model.

Voxa solves this with a modular architecture: install the core (21KB) and add only the features you need. Everything shares one configuration model, one interceptor chain, and one error classification system.

Core Package (@voxa-http/voxa):

  • Automatic retry with exponential backoff
  • Response caching (memory / file / custom adapter)
  • Request deduplication — identical concurrent requests share one response
  • Priority queue for request ordering
  • Rate limiting built-in
  • SSRF protection
  • Schema validation on responses
  • Structured error classification

Add-on Packages:

Package Purpose
@voxa-http/voxa-streaming-images Image streaming with progress tracking
@voxa-http/voxa-streaming-videos Video streaming with progress tracking
@voxa-http/voxa-http2 HTTP/2 Server Push support
@voxa-http/voxa-graphql GraphQL query support
@voxa-http/voxa-batch Request batching
@voxa-http/voxa-offline Offline queue management
@voxa-http/voxa-circuit-breaker Circuit breaker pattern
@voxa-http/voxa-token OAuth/JWT token management
@voxa-http/voxa-metrics Performance metrics tracking

🤖 Dev Companion (Planned)

Repository: github.com/0xshariq/dev-companion
Status: ⏳ Planned — Foundation laid, not yet implemented

Problem it solves:
A developer building a real automated workflow today has to: learn FFmpeg flags, write Orbyt YAML, configure Vaulta secrets, scaffold a project with DevForge, and stitch together HTTP calls with Voxa — all manually, switching between tools and documentation constantly. The individual tools are good. The integration is painful.

Dev Companion is the unified interface that removes that friction. It is not a chatbot. It is an execution orchestrator with an AI interface — it understands what you want to do, generates the right workflow, loads the right secrets, runs the right adapters, and reports what happened in a structured way.

How It Works:
When a user says "resize all my photos and upload to S3", Dev Companion:

  1. Generates an Orbyt workflow with the correct steps
  2. Resolves secrets from Vaulta for S3 credentials
  3. Executes via OrbytEngine with MediaProcAdapter + HTTPAdapter
  4. Streams execution events back to the user in real time
  5. Bills under the Ecosystem tier — not per-product pricing

MCP Servers (Background Services):
Dev Companion communicates with Docker, GitHub, and email services via MCP (Model Context Protocol) servers:

services/docker-mcp-server/    — Docker operations
services/github-mcp-server/    — GitHub repository actions
services/email-mcp-server/     — Email notifications

Why It Matters for Billing:
Dev Companion activates the Ecosystem billing tier. All product usage through Dev Companion is billed under a single unified subscription rather than per-component. This rewards integrated usage and makes the full ecosystem affordable for teams.


Foundation Layer — ecosystem-core

Package: @dev-ecosystem/core

Repository: github.com/0xshariq/dev-ecosystem-core

ecosystem-core is the shared infrastructure package used by all products in the ecosystem. It is not a product — it has no user-facing features. It defines the standards every product must follow.

What It Contains

Module Purpose
ExitCodes Standard CLI exit codes (0 = success, 1 = user error, 2 = config error, etc.)
ErrorTypes Error severity, category, and recoverability classifications
BaseError Base error class all ecosystem errors extend
ErrorCodes Global numeric error code ranges per domain
mediaproc.errors MediaProc-specific typed error classes
orbyt.errors Orbyt-specific typed error classes
vaulta.errors Vaulta-specific typed error classes
devforge.errors DevForge-specific typed error classes
workflow.schema.zod Zod runtime schema for Orbyt workflow validation
workflow.interfaces TypeScript types for workflow definitions
adapter.types TypeScript types for the adapter system
LogFormat Shared log format specification

Error Code Standard

All ecosystem products use a unified numeric error code range:

Code Range Domain
0 Success
1–19 User input errors
20–39 Config / schema errors
40–59 Execution errors
60–79 Adapter / plugin errors
80–99 Network / IO errors
100–119 Security errors
200+ Internal / unexpected errors

This means a MediaProc error code and an Orbyt error code are always in different namespaces and never conflict.


Bridges

Bridges live in the bridges/ directory. They are thin integration packages that give ecosystem products access to shared platform services without coupling them to the platform's implementation.

A product imports a bridge. The bridge handles service communication, authentication, retries, and fallback. The product never talks to the platform service directly.

Bridge Purpose
bridges/billing Emit usage events → billing engine receives them
bridges/analytics Emit analytics events → analytics backend
bridges/identity Validate user identity / session context
bridges/observability Metrics, traces, and structured logging export
bridges/feature-flags Feature flag resolution per user / plan / region
bridges/governance Policy enforcement and compliance checks
bridges/vaulta Thin client for talking to a running Vaulta instance

Bridge Pattern

Product Code
    │
    ▼
Bridge (contracts + adapters)
    │
    ├── LocalAdapter     (for local dev / offline)
    ├── RemoteAdapter    (for cloud / production)
    └── MockAdapter      (for testing)

Switching from local to cloud billing requires changing one adapter, not modifying product code.


Billing Engine

The billing engine is a separate layer — not part of any product. Products never calculate prices, check subscription limits, or handle payment. They emit usage events, and the billing engine consumes them.

Roles

Layer Responsibility
Website User accounts, plans, payment gateway, subscriptions
Bridge Translates user identity + subscription into billing context
Billing Engine Applies pricing rules, calculates cost, handles overrides
Products Emit UsageEvent records only

Execution Origin

Every engine run carries an ExecutionOrigin:

interface ExecutionOrigin {
  source: "dev-companion" | "component" | "api" | "cli" | "marketplace";
  product?: "orbyt" | "mediaproc" | "vaulta" | "devforge";
  accountId: string;
  sessionId?: string;
}

The BillingRouter uses this to choose between the component billing model (per-product pricing) and the ecosystem billing model (Dev Companion flat subscription).

Pricing Tiers

Free — Builder Starter

  • Limited monthly workflow runs and executions
  • Local mode only
  • Core CLI features
  • No credit card required

Pro — Serious Developer

  • Higher execution limits
  • Parallel execution
  • Advanced adapters
  • Usage-based overage billing

Ecosystem — Full Stack Automation

  • Activated by Dev Companion usage
  • Unified billing across all products
  • All products under one subscription
  • Team collaboration features

Each product also has its own independent tier structure for users who only use that product.

Billing Overrides

The billing engine supports a layered override system:

  • Free plan override — set price to zero (for contributors, testers, beta users)
  • Usage credits — deduct from credits before billing real usage
  • Discount overrides — percentage or flat discounts

Workspace Structure (This is Local Monorepo Setup in my Laptop)

dev-ecosystem/
├── ecosystem-core/           # @dev-ecosystem/core — shared standards package
│
├── products/                 # User-facing tools
│   ├── mediaproc/            # @mediaproc/* — CLI media processing
│   ├── orbyt/                # @orbytautomation/* — workflow engine + CLI
│   ├── devforge/             # @dev-forge/* — project scaffolding CLI
│   └── dev-companion/        # AI orchestration layer (planned)
│
├── libraries/
│   └── voxa-http-client/     # @voxa-http/* — modular HTTP client
│
├── bridges/                  # Platform integration adapters
│   ├── billing/              # Usage event emission → billing engine
│   ├── analytics/            # Analytics event export
│   ├── identity/             # User identity context
│   ├── observability/        # Metrics, traces, logs
│   ├── feature-flags/        # Feature flag resolution
│   ├── governance/           # Policy enforcement
│   └── vaulta/               # Vaulta secret store client
│
├── services/                 # Background services / MCP servers
│   ├── docker-mcp-server/    # Docker MCP server for Dev Companion
│   ├── email-mcp-server/     # Email MCP server
│   └── github-mcp-server/    # GitHub MCP server
│
├── web/
│   └── web-docs/             # Ecosystem documentation website
│
└── internal-docs/            # Architecture notes, design decisions, plans

Terminology Glossary

Term Meaning
Product A user-facing tool that solves a specific problem (MediaProc, Orbyt, Vaulta, DevForge)
Foundation / Core @dev-ecosystem/core — shared types, errors, schemas used by all products
Bridge A thin integration package connecting a product to a platform service (billing, analytics, identity)
Adapter A plugin that handles a specific uses: action in an Orbyt workflow (e.g., MediaProcAdapter)
Workflow A YAML/JSON file defining steps, dependencies, inputs, and execution logic in Orbyt's format
Step A single unit of work in a workflow, executed through an adapter
DAG Directed Acyclic Graph — the dependency structure that determines step execution order in Orbyt
Engine The OrbytEngine runtime that parses, validates, and executes workflows
Plugin A MediaProc extension installed via mediaproc add <name> (image, video, audio, pipeline)
Usage Event An atomic record emitted by a product describing what computation was performed
Billing Router Core component that chooses between ecosystem billing and component billing based on execution origin
Execution Origin Metadata on every engine run identifying which product/source triggered execution
Ecosystem Tier The billing tier activated when Dev Companion orchestrates multiple products together
Dry-run Execute validation and planning without actually running steps — supported by Orbyt and MediaProc
Explain Show what the engine will do, in what order, with what dependencies — without executing anything
MCP Server Model Context Protocol server — background services that expose tool APIs to Dev Companion

Product Status

Product Status Language Published
MediaProc ✅ Stable v1.0.0 TypeScript npm — @mediaproc/cli
Orbyt Engine ✅ Stable v0.6.0 TypeScript npm — @orbytautomation/engine
Orbyt CLI 🔄 In Development TypeScript Not yet
Vaulta ✅ Stable Rust cargo — vaulta
DevForge ✅ Stable v1.x TypeScript npm — @dev-forge/devforge
Voxa HTTP Client ✅ Stable TypeScript npm — @voxa-http/voxa
Dev Companion ⏳ Planned TypeScript Not yet
ecosystem-core ✅ Active TypeScript npm — @dev-ecosystem/core
Billing Engine ⏳ Designed, Not Built TypeScript Not yet
Bridges 🔄 Scaffolded TypeScript Not yet

Roadmap

Phase 1 — Solid Products (Active)

Goal: Each product works correctly and independently before any integration work happens.

  • ✅ MediaProc v1.0.0 — image, video, audio CLI stable
  • ✅ Orbyt engine v0.6.0 — core execution engine published
  • ✅ Vaulta — Rust CLI stable, encrypted local secrets
  • ✅ DevForge v1.0.0 — project scaffolding and deployment CLI stable
  • ✅ Voxa — modular HTTP client published
  • ✅ Orbyt CLI — run, validate, explain commands
  • ✅ ecosystem-core — error codes, schemas, base classes for all products
  • 🔄 MediaProc pipeline plugin — Orbyt-powered YAML automation (in progress)

Phase 2 — Integration Layer (Near-term)

Goal: Products can talk to each other through well-defined contracts, not hard imports.

  • Bridge contracts defined for billing, observability, identity, feature flags
  • Local adapters for all bridges (offline-first, no cloud required)
  • Orbyt CLI stable release with full test coverage
  • MediaProc pipeline plugin stable release
  • ecosystem-core logging standard fully implemented across all products
  • Vaulta bridge — Orbyt workflow secrets resolution end-to-end working

Phase 3 — Billing Foundation (Medium-term)

Goal: Usage is tracked and costs are calculable before real money is involved.

  • Billing engine core — UsageEvent schema, BillingRouter, pricing rule engine
  • Remote adapters for bridges (cloud billing, remote observability)
  • Voxa CLI — command-line interface for HTTP testing and scripting
  • Orbyt distributed execution mode — run workflows remotely
  • MediaProc remote pipeline scheduling — runs triggered by cloud events
  • Per-product pricing tiers defined and enforced at the bridge layer

Phase 4 — Dev Companion (Long-term)

Goal: A single interface that orchestrates the entire ecosystem.

  • Dev Companion core — natural language → Orbyt workflow generation
  • MCP server integration — Docker, GitHub, email as tool APIs
  • Ecosystem billing tier — unified subscription activated by Dev Companion
  • Real-time execution streaming — watch workflows run step by step
  • Dev Companion CLI — local AI assistant with no cloud lock-in

Phase 5 — Platform Scale (Future)

Goal: The ecosystem becomes a platform others can build on.

  • Orbyt adapter marketplace — community-contributed adapters for any tool
  • MediaProc plugin marketplace — community plugins (PDF, SVG, 3D, etc.)
  • Orbyt cloud engine — remote execution with persistent state
  • Full observability dashboard — unified view across all products and workflows
  • Multi-tenant billing — team accounts, usage aggregation, invoice generation
  • Enterprise governance — role-based permissions, audit logs, compliance exports

Independent Growth Path

Each product in this ecosystem is designed with eventual independence in mind:

Product Independent Path
MediaProc Can grow into a company selling media automation APIs + CLI to agencies and SaaS products
Orbyt Can be positioned as a developer-grade alternative to GitHub Actions + Temporal for local-first automation
Vaulta Can grow into an enterprise secrets manager with team vaults, audit logs, and cloud sync
DevForge Can become the standard project scaffolding platform across all languages and frameworks
Voxa Can grow into an API platform — managed proxy, request analytics, rate limiting as a service
Dev Companion Can become a standalone AI developer assistant that embeds the full ecosystem

The shared foundation (@dev-ecosystem/core) provides structural consistency without lock-in. Any product can vendor the small set of types it needs and cut the dependency at any time.

This is the difference between a platform and a monolith.


Built by @0xshariq

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A unified platform of developer tools built as independent, production-grade products that share a common foundation — designed to work together as an ecosystem and stand alone as individual products.

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