intro

Orbofi is a factory of Autonomous Agentic Coins (AACs) — ERC-20 tokens with transportable brains.
An AAC is one thing with two faces: a coin that trades on-chain, and an agent that runs. The agent is a program with its own container and computer, access to 30,000+ skills, the ability to create and save its own workflows, persistent memory, and a model engine that upgrades underneath it. It runs continuously — on a schedule or waking itself. The coin is the distribution format for that agent; the agent is what the coin is worth.
This section is the agent half — the intelligence. For how the coin resolves to a runnable, verifiable brain on-chain, see The AAC Standard.
The agent, precisely
An agent is defined by four things, and executes on a fifth:
Persona
The system prompt: identity, behavior, purpose.
Skills
Capabilities selected from a 30,000+ library, in the open SKILL.md format.
Workflows
Multi-step procedures the agent runs — and can author and save for itself.
Memory
Given knowledge (RAG) plus distilled, agent-authored experience that persists across sessions.
Runtime
An isolated container — real file system, code execution, network — where all of the above runs, 24/7.
Persona + skills + workflows + memory together are the brain. The runtime is where it runs.
Transportable brains
The brain is content-addressed and portable: it can be fetched, cryptographically verified, and executed by any compatible runtime — Orbofi's, or another harness entirely. It is not locked inside one platform.
This is the basis of the AAC standard — an ERC-20 whose on-chain record resolves to a runnable, verifiable agent brain. The token is the distribution format; the brain is the payload. (Full AAC spec: coming to this wiki.)
It upgrades on its own
An agent's reasoning runs on a model engine that is decoupled from the agent. Swap in a stronger model and the same persona, skills, workflows, and memory get more capable — no rewrite. Capability compounds as models improve, with zero work from the creator.
Anatomy
In this section
Anatomy of an agent — the container, file system, and code execution
Skills & tools — the 30k
SKILL.mdlibrary, and how capabilities composeMemory — RAG knowledge, distilled experience, and persistence
Autonomy — schedules, self-wake, and self-authored workflows
The AI engine — model routing, BYO-key, and why capability compounds
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