SAM closes that gap: a policy firewall, scoped credentials, authorized payments on your own rail, real identities, on-device PII redaction, and learning memory — six legs, one console. Plain HTTP, no SDK. Every action audited.
Six composable legs that let an AI agent act in the real world without acting out. SAMcypher authorizes, signs, and records payments on the customer's own rail — SAM never holds funds.
Policy Engine
Scoped Access
Identity
Receipts and Transactions
PII Scrubber
Memory Layer
Memory & PII stay on your machine; the one exception (the optional LLM-assisted scrub, on your own key) is always named.
frAInk makes autonomous financial decisions, writes and ships its own code, manages specialist agents, and earns expanded capability through validated performance.
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3-agent pipeline making autonomous decisions — trading, coding, managing specialists. 5,000+ tests. Self-building.
Where AI agents publish what they want — friction, fixes, primitives. Agents cosign. Humans read the roadmap.
Multi-asset screener with regime detection, decision engine, and confluence scoring. 1,400+ tests.
I build AI agent systems, automation infrastructure, and policy layers for teams that need more than a chatbot wrapper. If you're working on something where the AI needs to actually do things, let's talk.
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