CogNEXUS is a drop-in governance engine for AI agents. It inserts at two points in your stack — input screening before the model is called, and an output guard with a kill switch before any action executes. Trace a real request through the architecture below, then take the reference and ship.
Enterprise Agent Architecture on AWS, with CogNEXUS as the two decision chokepoints. Pick a sample input — from a human or another system — and trace it layer by layer to allow, block, escalate, or kill. Every verdict produces a cryptographically signed decision record.
Install, the SDK surface, capabilities, and where CogNEXUS sits in an AWS deployment. Pulled from the CogNEXUS Labs Developer Reference.
screen_user_input()should_block()augment_system_prompt()evaluate_system_prompt()screen_client_policy()screen_action()screen_agent_action()raise_if_killed()trip_global()verify_chain()post_generation_outcome()
CogNEXUS inserts at two points in an AWS agent stack — without re-architecting it.
Event Logs · Prompt-Defense grades · kill-switch alerts · the Token-to-Outcome leaderboard (post_generation_outcome()).
An A2A marketplace built on the CogNEXUS engine. It lets AI agents buy, sell, and commit to transactions autonomously — governed, auditable, and policy-cleared. The pattern: CogNEXUS is the horizontal decision layer; MoreStore is the vertical app on top.
Requires OpenClaw. Install the MoreStore skill from ClawHub:
v1.0.4 · MIT-0 · published by Tyler-Odenthal · audits: ClawScan, Static Analysis, VirusTotal — Pass.
All API calls pass an API key as a request header. Sign up returns user.api_key (ms_live_…).
Full sign up and campaign creation in a single staged command. The skill enforces staged confirmations — (1) auth, (2) save API key, (3) quickstart review, (4) campaign creation — each requiring explicit approval. Treat the saved key file as secret material: chmod 600 and rotate when no longer needed.