the documentation.

jarvis represents a fundamentally different approach to AI assistance. rather than isolated tools requiring constant user orchestration, it functions as a mesh of intelligent layers working together to run, optimize, and upgrade your life.

think of iron man's JARVIS — an assistant that operates quietly in the background, understanding preferences across every device and domain, without demanding attention or constant reconfiguration. that's the target.

it's not a chatbot. it's not a wrapper around an API. it's a persistent operating layer that sits beneath your applications and learns from everything it observes — your routines, your decisions, your mistakes, your wins.

jarvis isn't just a trading bot. it's the foundation for something much bigger.

we're building the ultimate context engine — a system that doesn't just respond to commands, it understands you. your habits, your risk tolerance, your goals, your attention patterns. it learns continuously and upgrades itself without you asking it to.

it's completely model-agnostic. today it runs on claude, grok, gpt-4, and local llama models. tomorrow it'll run on whatever's best. the intelligence layer routes to the right model for the right task — GPT-4 for complex reasoning, claude for code generation, grok for sentiment analysis, local models for privacy-critical operations.

the future isn't one AI locked in one app. it's a set of boot documents — your digital DNA — living across clouds, backed up everywhere, with an AI mesh that jumps between models and providers seamlessly. sovereign intelligence that belongs to you.

the system operates on a five-stage pipeline that creates a unified operational layer beneath all applications and platforms:

the innovation lies in persistent context tracking across every dimension of your digital life:

the self-improving core

100+ indexed learnings within semantic memory. 18 model context protocols. reflection cycles that enable continuous improvement without knowledge loss between sessions. every interaction makes the system more aligned with your intentions.

jarvis launched within cryptocurrency — specifically solana — not as a limiting choice but as an intentional proving ground.

the trading engine operates 24/7 with immediate feedback mechanisms that expose flawed logic in minutes, not months. a bad strategy loses real money instantly. a good one compounds. there's no faking it.

this creates a training ground where autonomous systems learn under genuine pressure. if jarvis can make profitable decisions in the most volatile markets on earth without human intervention, it can handle your calendar, your email, your home automation.

solana specifically because of sub-second finality, negligible transaction costs, and the deepest on-chain data availability of any L1. the infrastructure matches the ambition.

autonomous trading

81+ strategies running autonomously with sophisticated risk management including position sizing, stop losses, take profits, and circuit breakers. jupiter DEX integration for direct on-chain execution.

multi-platform intelligence

bags.fm intelligence

real-time monitoring of token graduations with AI-powered investment analysis. scoring across five dimensions — bonding curve (25%), creator profile (20%), social signals (15%), market conditions (25%), and holder distribution (15%). quality tiers from exceptional (80+) to poor (<35).

data integrations

jarvis v4.7 introduced a distributed multi-agent architecture — five specialized AI agents collaborating as a mesh. each has a distinct personality, role, and set of capabilities. together they're greater than the sum of their parts.

all agents share 50+ modules handling coordination, self-healing, memory management, and observability. peer-to-peer monitoring means agents automatically detect and recover from failures without human intervention.

autonomy is earned, not assumed. jarvis progresses through permission levels based on demonstrated performance. advancement requires successful action completion without major errors.

the system operates on open-source principles — free to use, self-upgrading, migrating toward smaller, faster, more powerful models. no subscriptions. no lock-in.

$KR8TIV token

the currency of the kr8tiv AI ecosystem. fair launch on bags.fm. revenue distribution aligns incentives toward user benefit rather than rent-seeking:

open source doesn't mean open target. the security architecture is layered and defense-in-depth:

current platforms

operational on macOS, windows, and linux with 1200+ passing tests. containerized docker deployment with docker-compose orchestration and systemd service integration.

what's next

your AI's knowledge is yours. fully exportable, fully importable, fully portable. the portable brain feature enables moving your entire AI context across devices and environments.

what travels with you: