AI Systems Operator & Automation Architect
Systems that keep their own receipts.
I build local-first infrastructure for AI agents and automation — published on GitHub, documented to the claim tier, and honest about what is proven and what is not. If it is not in the ledger, it did not happen.
AEGIS
A local-first agent operating system for AI coding work — receipt-backed token ledger, an honest-yield rule, a frozen /v1 API. v1.2.0, public on GitHub.
Read about AEGIS →Memory Utility Labs
The umbrella imprint the work is published under. Not a product — the name on the publications. Its charter is still being written; the work is not.
Read about the Labs →Ektar
The operating methodology behind everything here: every consequential claim carries a status — verified, inferred, guessed, unknown.
Read about Ektar →Web Design
Portfolio work including K&A Doors. Publication pending the client's written consent; the page exists as a draft only.
More work, public on GitHub
Published and documented. Nothing here claims users, adoption, or results the repositories do not show.
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interlock
Zero-dependency Python safety substrate for AI agents — expiring authority leases, a global e-stop, a fault bus, provenance-stamped claims. v0.1.0, MIT.
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reclamation-evidence-ledger
Independent satellite watchdog for Alberta's orphan wells — Sentinel-2 change detection over a 27-site pilot, provenance-stamped evidence packets. MIT.
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star-lab
A free local agent research lab — 14 offline-first modules for experiments, model evaluation, and mission control. Commissioned and directed; built with Grok.
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sovereign-contracts
Local-first, auditable smart-contract pipeline — Hardhat 2 + Python with gated compile, test, coverage, and deploy. No cloud accounts required.
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Hermes-Controlled-Execution
Fail-closed macOS execution layer for agent-driven work — allowlisted capabilities, redacted append-only receipts. Architecture published, Apache-2.0; implementation in progress.
Contact
The fastest way to reach me is email: marcus@marcusrichards.dev.