Integration architecture
Private AI for operational systems.
TARX is designed to bring local-first AI, governed memory, routing policy, tools, and evidence into operational environments where data control matters.
Planned / integration pathway
This page describes an integration architecture for Palantir-style operational environments. It does not claim a verified Palantir commercial relationship, marketplace listing, or production-ready integration.
Integration concept
Where TARX fits.
TARX can sit beside operational systems as the local AI, private context, route policy, tool/action, Vault, and evidence layer.
Local AI runtime for users and analysts
Private memory/context layer
Routing layer between local, Supercomputer, and private runtime
Tool/action layer for approved workflows
Vault boundary for credentials and secrets
Evidence trail for sensitive AI-assisted actions
Operational use cases
Palantir-adjacent workflows.
The right frame is controlled context, workflow execution, evidence, and operational data boundaries.
Architecture
Local first. Governed when it scales.
01
User / analyst
02
TARX local runtime
03
TARX memory/context
04
approved tools/actions
05
routing policy
06
Supercomputer or private runtime when approved
07
evidence trail
User / analyst -> TARX local runtime -> TARX memory/context -> approved tools/actions -> routing policy -> Supercomputer or private runtime when approved -> evidence trail
Guardrail
Memory is not Vault.
Credentials, API keys, tokens, SSH keys, passwords, private keys, and secrets must route Vault-first. Operational context can be remembered only through approved memory policy; secrets are handled as protected material, not ordinary memory.
Compliance disclaimer
TARX should not be described as certified for specific government environments unless explicit certification evidence exists in product, configuration, or formal documentation. Hosted or agency use may require separate authorization and procurement review.
