Why Cadreen?
Cadreen will ask before sending emails. It will remember what it learned last month. It will tell you when it doesn't know. That's not a feature list — that's the difference between a model and an intelligence layer.
What Cadreen does
Cadreen is an intelligence layer that sits in front of any OpenAI-compatible API. Point any tool at it — opencode, Cursor, LangChain, your own SDK — and it adds governance, memory, and intelligence. The model stays the same. The structure around it changes everything.
What makes it different
Governance is architecture
Every tool call evaluated against your policies before execution. Not bolted on — woven into how the system operates.
Policies, approval tokens, audit trails, mandatory human judgment points. The EU AI Act high-risk enforcement takes effect August 2026. Cadreen makes you ready.
Four types of memory
Episodic (past conversations), semantic (knowledge items), procedural (tool sequences), observer (pattern detection). They coordinate.
The observer detects patterns. Patterns become procedures. Procedures get governance approval. Memory is not a feature — it's a system.
Intelligence traces explain why
Not just what happened, but why the system chose it. Capability assessment, governance decision, memory consulted, humility flags.
Every response carries its own breakdown. You don't build a separate logging system.
How it compares
You don't choose Cadreen instead of your model. You choose structure around it.
Use OpenAI, Anthropic, DeepSeek, or any provider directly.
Same API, same tools — with structure around it.
Try it in 5 minutes
curl -X POST https://accomplishanything.today/api/v1/cadreen/chat/completions \
-H "Authorization: Bearer sk_cadreen_..." \
-H "Content-Type: application/json" \
-d '{
"model": "cadreen",
"messages": [{"role": "user", "content": "Hello, what can you do?"}]
}'