The multimodal AI
operating platform.
Orchestration-first. Model-agnostic. Execution-ready.
A complete workspace,
built for the edge.
Before we dive into how the engine works, this is what you actually do with it. Prism AI brings desktop-grade multimodal capabilities to Android for the very first time. Every mode is optimized for a specific intent, powered by the local orchestrator.
Select a mode to preview
The Engine Beneath
One model does not equal intelligence.
True autonomy lives in the orchestration layer.
To make all those modes work on a mobile device seamlessly, Prism AI relies on an advanced orchestration engine. It isn’t just a wrapper around an LLM—it operates like a kernel for AI workflows.
When your intent enters the system, the orchestrator instantly decomposes the task, selects the optimal model, provisions an isolated sandbox, injects long-term memory, and executes.
Intent Parsing
User request arrives. Orchestrator decodes intent.
Task Decomposition
Harness breaks intent into sub-tasks.
Skill & Tool Loading
Dynamically loads MCP tools and skills.
Sandboxed Execution
Runs code perfectly in isolated AVF/Docker.
Memory Storage
Logs context to pgvector for long-term recall.
The control layer that makes Prism AI autonomous and safe.
Models are engines, but they need a chassis. The harness observes outputs, plans next steps, evaluates results against intent, retries on failure, and formats final delivery. It protects the user from raw model hallucination.
Execution
Environments
LLMs generate code. Prism AI executes it securely. We isolate every agent interaction within hardware-backed local microVMs or ephemeral cloud containers.
Android Virtualization Framework
Local agents run code via Microdroid. A protected KVM enforces hardware-backed isolation between the host OS and the disposable guest VM.
Ephemeral Containers
Cloud tasks spawn Docker/Firecracker microVMs that exist strictly for the duration of a single inference block.
Immutable State
Guest environments boot from dm-verity verified, read-only root filesystems preventing persistent tampering.
Socket-Based IPC
Communication across the host-guest boundary occurs exclusively through constrained vsock protocols, safely piping AST diffs and stdout logs.
Models are engines.
They are not the product.
Prism AI routes tasks through an abstraction layer. The orchestration layer remains stable regardless of the model you plug in.
Extensibility Engine
Dynamically loaded skills & MCP interoperability.
Skills are not hardcoded. The orchestrator invokes skills autonomously from the registry. Built-in support for Model Context Protocol (MCP) servers allows infinite tool interoperability via stdio, HTTP, and WebSockets.
Repo Analyzer
PDF Summarizer
UI Generator
Prompt Enhancer
SEO Optimizer
Memory Architecture
A continuous living archive.
Conversations aren't just strings of text. They are vectorized, embedded, and stored for deep contextual recall across entirely separate sessions.
Short-Term Cache
High-performance volatile storage for active session states, fast-moving UI locks, and immediate recent-token access. Assures sub-millisecond data retrieval during fluid conversations.
Long-Term Memory
Persistent semantic embeddings of your entire workflow history. Conversations are dynamically chunked, vectorized, and injected into context explicitly when relevant topics are breached.
Engineering Transparency
Full Stack Architecture
Client UI
Orchestration & Backend
Isolated Execution
Memory & Data
Architecture & Planning
We are currently in Phase 1. Architecture design and resource planning are actively underway to lay down a solid foundation.
Architecture & Planning
Designing system boundaries, setting up environments, and architecture blueprints.
App Prototype
Core application interface, fundamental tools tracking, and basic workflows.
Core (AVF & Docker)
Integrating Android Virtualization Framework and secure sandbox deployments.
Full Launch
Refining stability, expanding plugins, and enabling global beta release.