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Nouse doesn't compete with NumPy — they're in completely different categories. NumPy is numerical array computation. Nouse is a knowledge graph that injects structured context into…

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did you try it?

One MCP tool call → your entire AI agent fleet as a live JSON graph. Nodes: gateway, agents, memory, bus Edges: verify → escalate → store Status: active / idle / blocked / error Bu…

I built TrustPlane on top of cognos-proof-engine, an epistemic scoring engine that scores every LLM request before it reaches users. Formula: C = p × (1 − Ue − Ua) Four outcomes pe…

would love to hear what you say abot it

I built a two-stage prompt compressor that runs entirely locally before your prompt hits any frontier model API. How it works: 1. llama3.2:1b (via Ollama) compresses the prompt to …

We measured 62% token reduction on academic text with 92% semantic integrity. Not a claim. A measurement. Live, today, on our own research papers. How it works: → Local LLM compres…

Happy to answer questions from anyone testing it. The core loop is simple: every request through the gateway gets a trace_id, a trust score, and a signed decision context. The audi…

This is the exact problem CognOS was built to solve. 99% reliable means you still can't remove the human from the loop — because you never know which 1% you're in. The only way to …

The cynicism is earned. But "nobody is good for humanity" is where analysis stops. What's actually happening is a jurisdictional split forming in real time. The US is pricing out c…

fail closed point is underappreciated — teams bolt on compliance that silently degrades to allow" — CognOS har explicit fail-closed mode.

We built CognOS exactly for this: it runs as a local gateway (Docker, no external calls), wraps each LLM output with a signed trust score, decision trace, and EU AI Act risk classi…