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🗺 Roadmap

MobileGraph is being developed in incremental phases, with each phase building on a stable, modular, and extensible architecture.

Our mission is to become the Kotlin-first AI framework for the Android ecosystem and Kotlin Multiplatform including IOS, enabling developers to build everything from simple AI assistants to enterprise-grade, autonomous agentic applications.

Phase Status Focus
✅ Phase 1 Completed Core Runtime & Provider Abstraction
✅ Phase 2 Completed Knowledge Layer (RAG)
✅ Phase 3 Completed Agent Runtime (Durable Workflows)
✅ Phase 4 Completed Multi-Model Cloud Ecosystem
🔜 Phase 5 Planned Model Context Protocol (MCP)
🔜 Phase 6 Planned Local AI & Edge Inference
🔮 Phase 7 Future Android & Automotive Ecosystem
🚀 Phase 8 Vision MobileGraph Studio (Visual Builder)

✅ Phase 1 — Core Runtime

Foundation for AI-powered applications. Abstraction layer for chat models, session management, middleware, and structured outputs.

✅ Phase 2 — Knowledge Layer (RAG)

Enable Retrieval-Augmented Generation. Includes document loaders, text splitters, vector store abstractions, and a retrieval DSL.

✅ Phase 3 — Agent Runtime

Durable, mobile-first agent execution engine. Support for stateful graphs, autonomous tool use, Human-in-the-loop (HITL), and automatic process death recovery.

✅ Phase 4 — Model Ecosystem

Expanded cloud provider suite. Native integration for OpenAI, Gemini, Claude, DeepSeek, Hugging Face, and OpenRouter. Includes multi-modal vision and intelligent model routing.

🚧 Phase 5 — Model Context Protocol (MCP)

Enable seamless interoperability with external tools and services through MCP.

Planned Features

  • MCP Client for Android
  • Remote MCP Server connections
  • Dynamic tool discovery via MCP
  • MCP Resource & Prompt support
  • Secure authentication & session management

🔜 Phase 6 — Local AI & Edge Inference

Bring private, offline AI directly to Android devices.

Planned Features

  • On-device Small Language Model (SLM) inference
  • llama.cpp & GGUF integration
  • ONNX Runtime & MediaPipe GenAI support
  • Qualcomm AI Engine / NPU acceleration
  • Hybrid local + cloud routing

🔮 Phase 7 — Android Ecosystem

Extend MobileGraph across the Android platform family.

Highlights

  • Android: Jetpack Compose integration, WorkManager AI tasks.
  • Automotive: IVI AI framework, Vehicle Data integration, distraction-aware execution.
  • TV/XR: Voice-first interactions and spatial AI agents.

🚀 Phase 8 — MobileGraph Studio

Create a visual development environment for designing AI workflows.

Highlights

  • Drag-and-drop workflow builder
  • Visual State Graph editor & debugger
  • Prompt Playground & RAG Inspector
  • Token & cost optimization dashboard