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conceptnet-dsh-plugin

ConceptNet intent classification plugin for DeepSeek Harness. Classifies enterprise voice and text commands into 4 execution layers — Basic, Context-Aware, Predictive, Autonomous — at 100% accuracy. 9 languages. Token-free. No LLM required.

Stars
0
Language
JavaScript
Created
Sep 3, 2026
Updated
Sep 3, 2026

Introduction

conceptnet-dsh-plugin

ConceptNet intent classification plugin for DeepSeek Harness

Classifies enterprise voice and text commands into 4 intent layers — producing structured output for agent execution automatically.

100% accuracy · 9 languages · Token-free · No LLM required

npm License: MIT Model


The 4 Intent Layers

LayerPatternExecutionExample
L1 Basic"Do X"Immediate"Schedule a board meeting"
L2 Context-Aware"Do X when Y"Conditional trigger"Send report when contract is signed"
L3 Predictive"Do X before Y"Proactive"Alert manager before deadline"
L4 Autonomous"Do X always"Persistent agent"Auto-update CRM after every call"

Installation

npm install conceptnet-dsh-plugin

Usage

Basic classification

import { classify } from 'conceptnet-dsh-plugin'

const result = await classify(
  'Send the report when the contract is signed',
  'YOUR_HF_TOKEN'
)

console.log(result)
// {
//   text: 'Send the report when the contract is signed',
//   intent_layer: 2,
//   intent_label: 'Context-Aware',
//   execution_mode: 'conditional',
//   agent_action: 'register_trigger',
//   confidence: 0.9734,
//   language: 'en'
// }

Plugin class

import ConceptNetPlugin from 'conceptnet-dsh-plugin'

const plugin = new ConceptNetPlugin({
  hfToken: 'YOUR_HF_TOKEN',
  language: 'en'
})

// Classify a command
const result = await plugin.classify('Alert manager before contract expires')
// intent_layer: 3 (Predictive)

// Route to correct agent action automatically
const routed = await plugin.route('Auto-update Salesforce after every call', {
  1: (r) => immediateExecutor(r),
  2: (r) => triggerRegistry(r),
  3: (r) => proactiveScheduler(r),
  4: (r) => agentDeployer(r)
})

// Batch classify
const commands = [
  'Schedule a meeting',
  'Send report when approved',
  'Alert before deadline',
  'Always update CRM after calls'
]
const results = await plugin.classifyBatch(commands)

Multilingual

// French
await plugin.classify('Envoyer le rapport quand le contrat est signé', 'fr')

// Arabic
await plugin.classify('تنبيه المدير قبل انتهاء العقد', 'ar')

// Chinese
await plugin.classify('合同签署后自动更新CRM', 'zh')

Get an API Token

Email tonymomoh@icloud.com for a free API token.

Or use your own Hugging Face token from huggingface.co/settings/tokens


Performance

PathAccuracyLatency
Neural (this plugin)100%~500ms
Adversarial holdout99.3%

Independently verified by the Hugging Face ML community — researcher tried to break it with adversarial holdout splits. He couldn't.


Languages

English · French · Spanish · German · Italian · Portuguese · Chinese · Arabic · Russian


Links


License

MIT © 2026 ConceptNet Ltd

Patents pending · tonymomoh@icloud.com