Quickstart
Connect your model to the reasoning engine
One JSON block. Your model keeps its own API key — the Kohnex Brain engine adds expert reasoning on top of every answer.
1. Add to your MCP config
{
"mcpServers": {
"kohnex": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://kohnex.com/sse"],
"env": { "API_KEY": "khnx_..." }
}
}
}
Works with OpenCode, Claude Desktop, Cursor, VS Code, and any MCP client.
Core concept
The Kohnex Brain engine
Kohnex is a reasoning engine, not a library. It holds expert reasoning inbuilt — a 1,800-node knowledge graph across 38+ domains — and it creates new reasoning on demand when nothing inbuilt fits.
Inbuilt reasoning
2,000+ expert reasoning modes distilled from the knowledge graph, covering coding, security, diagnosis, strategy, and 18 more domains. The engine matches your question to the right reasoning in milliseconds and injects it into your model's thinking.
Created reasoning · forge
For novel problems, the engine builds new reasoning from scratch: multiple agents generate, critique, red-team, and synthesize — then score the result on a quality rubric. Nothing is copied; everything is forged.
Reference
Engine tools
Every tool calls the same engine. Always start with maple() — it finds the reasoning your question needs.
Find reasoning
mapleFind the right reasoning
Scores candidates 0–100 for your question. Returns names, taglines, and domains. Always call this first.
blitz · NewMulti-mode engine search
Keyword, semantic, or hybrid search with domain filtering. For large reasoning libraries.
willowBrowse by domain
Lists the reasoning the engine holds, filterable by domain. Use when exploring.
kohnex_statsEngine statistics
Totals, domains, and per-domain reasoning counts.
Load reasoning
cedarLoad full reasoning
Takes a reasoning ID. Returns complete steps, output format, and instructions.
Combine reasoning
birchBlend two reasoning modes
Combines two engine reasoning modes into one custom flow for complex tasks.
fuse · NewWeighted blend
Blends with per-mode weights and conflict resolution. Higher weight wins.
Create reasoning
aspenDraft new reasoning
The engine drafts new reasoning from a plain-language description.
forge · NewSwarm-forge new reasoning
Multi-agent build: generate → critique → red-team → synthesize, with quality scoring.
Knowledge engine
oakFull knowledge activation
Fires the whole knowledge network for cross-domain synthesis on hard questions.
kohnex_pathConcept connections
Shortest path between any two concepts in the knowledge graph.
kohnex_domainDomain deep-dive
Lists every node in a knowledge domain.
kohnex_modeThinking modes
Describes any of the 28 engine thinking modes and when to use it.
kohnex_exploreDeep exploration
Multi-mode deep-dive on any topic with cross-domain connections.
Reasoning methodologies
methodologiesReasoning methodologies
Browse, load, generate, create, fork, and manage structured reasoning methodologies.
Reference
Workflow
The standard flow: the engine finds the reasoning, loads it, your model follows it.
User asks question → maple() Engine finds the right reasoning → Pick top From scored candidates → cedar(id) Engine loads the full steps → Follow steps Model reasons like an expert → Answer Structured, expert-level
Reference
Reasoning domains (22)
The domains the engine reasons across. maple() routes your question to the right one.
Reference
Examples
Two sample prompts showing the engine flow.
Security analysis
What are the security risks of deploying AI agents in production?
Ask the engine (maple) for security reasoning → load it (cedar) → answer like a threat analyst
Code review
This Python function is too slow. Help me optimize it.
Ask the engine (maple) for performance reasoning → load it (cedar) → answer like a staff engineer