nse-orchestrator

Solid

The nervous system for sovereign AI entities — cross-pillar checks, LLM trust profiles, coherence detection, and signal routing.

Data & Documents 3,964 stars 1088 forks Updated 2 months ago MIT

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Skill Content

# NSE Orchestrator The nervous system for sovereign AI entities. Wires five pillars into a coherent whole. NSE sits between a sovereign entity and everything it touches. Every signal passes through. Every LLM response gets scored. Every cross-pillar conflict gets caught. - **Cross-pillar checks** -- "I'm paying someone who isn't in my contacts." No single pillar sees this. - **LLM trust profiles** -- score every model response, track which models are reliable for what. - **Coherence detection** -- flag when two models contradict each other. - **Signal routing** -- every action, response, and interaction flows through the nerve center. ## Install ```bash pip install nse-orchestrator[all] ``` > **Import names differ from package names:** > > | `pip install` | `python import` | > |---------------|-----------------| > | `nse-orchestrator` | `nse_orchestrator` | > | `social-alignment` | `social_alignment` | > | `nostrcalendar` | `nostrcalendar` | > | `nostrwalletconnect` | `nostrwalletconnect` | > | `nostrkey` | `nostrkey` | > | `nostrsocial` | `nostrsocial` | ## Quickstart ```python from nse_orchestrator import SovereignEntity entity = SovereignEntity.create(owner_name="vergel") # Cross-pillar check — the nervous system sees across all five pillars verdicts = entity.check( "Pay 500 sats to unknown contact", involves_money=True, money_amount_sats=500, recipient_id="npub1stranger...", ) if entity.should_escalate(verdicts): for v in verdicts: p...

Details

Author
openclaw
Repository
openclaw/skills
Created
5 months ago
Last Updated
2 months ago
Language
Python
License
MIT

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