Zakary Timson ztimson

Ontario, Canada
https://zakscode.com
Joined on 2023-07-26

@ztimson/ai-harness (0.2.13)

Published 2026-08-29 22:51:51 -04:00 by ztimson

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or add it to the package.json file:

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For more information on the npm registry, see the documentation.

AI-Harness

A layered LLM harness for limitless memory, emotional depth & workflow automation

Documentation • Release Notes • Report a Bug • Request a Feature

AI-Harness
- About
  - Features
  - Built With
- Setup
  - Model Recommendations
- Usage
  - Configuration
  - Agents
  - Commands
  - MCP
  - Skills
  - Tools
- Road Map
- License

About

AI-Harness is a sophisticated harness designed to leverage Large Language Models (LLMs) for comprehensive knowledge management and workflow automation. This system combines cutting-edge features to create an efficient, adaptable platform that integrates seamlessly with various tools and technologies.

Features

Layered Architecture: The best experience at the lowest cost by delegating work smartly
- Efficient "Conscious" model handles normal requests, responses and orchestrates tasks
- Lightweight + Fast "Sub-Conscious" model handles emotional intelligence, memories, and context summarization
- Heavy Duty "Deep Thought" models are used for high-stakes tasks in one-off requests
Advanced Memory Management: Document Knowledge + RAG + K-D Trees + Edge discovery = Limitless instant traversable knowledge
- When context fills, "Sub-Conscious" summarizes oldest messages and frees context space creating endless windows
- Then the "Sub-Conscious" model extracts facts and organizes knowledge into markdown files with wikilinks between them (Obsidian compatible)
- RAG embeddings are created and cached in K-D trees to instantly feed relevant memories into the "Conscious" model ahead of answering
- "Conscious" model uses WikiLinks to navigate edges and traverse related knowledge as needed
Emotional Depth: Make your LLM unique
- Create a custom avatar for your LLM that emotes with messages based on the "Sub-Conscious"
- "Sub-Conscious" model sets tone of the "Conscious" dynamically based on personality
- "Sub-Conscious" model performs self-reflection and modifies behavior to better suit the user
Multi-Environment: For every environment, professional and personal
- CLI: Talk to your LLM with one off questions or in an interactive terminal
- WebUI: Jump into the browser at any time for a richer experience
- PWA: Install the client on any device for quick access and remote work
Virtu-World: Inspired by Mega Man Battle Network
- Give your LLM an avatar and world to navigate and customize
- Battle friends and bust viruses to keep your network safe
- Let your LLM socialize and trade battle chips, agents, skills, tools, and commands
All the harness goodness:
- Agents: Define subagents your "Conscious" model can delegate work to using different models, tools, and instructions
- Commands: Create /commands to cut out the repetitive prompting
- Knowledge: Use offline zim archives (like Wikipedia) to backfill small models with endless knowledge
- MCP: Connect your LLM to 3rd party services with MCP servers
- Skills: Have the LLM create its own skill files or train it yourself on how to do certain things
- Tools: Create custom JavaScript tools to allow your LLM to automate tasks
Multi-Model Support: Use any combination
- Local LLM (via OpenAI protocol)
- Anthropic / Claude
- OpenAI / ChatGPT

Built With

Setup

Procuction

Prerequisites

Node.js
Optional: llama.cpp

Instructions

Set root: $AI_HOME="$HOME/AI"
Clone the project: npm --global install @ztimson/ai-harness
Open CLI or send message: ai [message]

Development

Prerequisites

Node.js
Optional: llama.cpp

Instructions

Set root: $AI_HOME="$HOME/AI"
Clone the project: cd $AI_HOME && git clone https://git.zakscode.com/ztimson/ai-harness.git .
Install (automatically links to path): npm i
Start using the CLI/WebUI: ai --help

Model Recommendations

Don't just use all the models from one column, the goal is to combine models to maximize all VRAM. Stick to Q4 models (numbers below) — or Q3 if desperate.

Role	Budget	Local Only	Perfect Balance
Sub-Conscious / Memory / Quick Agent	Nemotron 3 Nano 4B (~4GB) Gemma 4 E4B (~6GB)	Gemma 4 E4B (~6GB)	Gemma 4 E4B (~6GB)
Conscious / Primary / Orchestrator	Model above (no extra cost) ChatGPT ($2-5 / $12-30 1M Tokens)	Gemma 4 12B (~8GB)	Gemma 4 12B (~8GB)
Deep Thought / Expert Agent	Claude ($2-10 / $12-50 1M Tokens)	Qwen 3.6 27b/32b (~18-30GB)	Claude ($2-10 / $12-50 1M Tokens)

Recommended Context Settings:

Max Length (local only): 100,000 Tokens (~200 letter pages)
Compression Trigger: 75,000 Tokens (~150 letter pages)
Compression Target: 50,000 Tokens (~100 letter pages)

Usage

Configuration

Folder Structure

This harness is highly moddable via the $AI_HOME path (defaults to: $HOME/AI)

$AI_HOME
   ├── AGENTS.md (System prompt / Assistant's Rules)
   ├── agents
   │   └── researcher.md
   ├── bin (AI Harness Code)
   ├── commands (Markdown prompt templates)
   ├── data
   │   ├── settings.json (AI settings)
   │   ├── history.json (Chat history - delete to clear)
   │   ├── mcp.json (MCP definitions)
   │   └── schedule (Scheduled automated events)
   ├── models (Model images)
   ├── notes (User knowledge base (Obsidian Vault) and AI memory)
   │   ├── Personal (Information about user)
   │   │   └── Info.md
   │   ├── Journal
   │   │   └── 2026-01-01.md (Weekly notes)
   │   ├── Collection (Created as needed)
   │   │   └── Subject.md
   │   └── People
   ├── resources (zim archives for offline resources)
   │   └── archive_en_2026_01.zim
   ├── skills
   │   └── some-tool-api.md
   └── tools
       ├── fetch.js
       └── search.js

Config File

{
  "name": "AI Assistant",      // Your assistant's name
  "modelDir": "models",        // Override models path
  "port": 3000,                // Server port
  "conscious": "chatgpt-4o",   // Primary "Conscious" Model
  "primary": "Gemma4-E4B",     // Background "Sub-Conscious" Model
  "temperature": 1,            // Primary model temperature
  "tokens": {
    "min": 50000,              // Compress oldest messages until smaller than
    "compress": 80000,         // Trigger compressing history once exceeds
    "max": 100000              // Model max to stay under
  },
  "models": {
    "Gemma4-E4B": {
      "proto": "openai",
      "host": "http://127.0.0.1:1234/v1"
    },
    "chatgpt-4o": {
      "proto": "openai",
      "token": "..."
    },
    "claude-sonnet-5": {
      "proto": "anthropic",
      "token": "..."
    }
  }
}

Agents

---
name: Think Hard
description: Instructions on when to invoke subagent
model: claude-sonnet-5
temperature: 1
delegate: true // true = Agent responds directly, false = orchestrator responds on agent's behalf
mcp:           // null = All
skills: []     // empty array = None
tools:         // Fetch tool only
  - fetch
---

System prompt...

Commands

---
name: command
description: Help description
defaults:
  1: main
  2: no context provided
  USER: no prior user message
  AGENT: no prior agent message
  MESSAGE: no conversation yet
  ARGUMENTS: no arguments
---

First word: $1
Word 2 and on: $2+
Prior user message: $USER[1]
Last round of agent/tool work: $AGENT[1+]
Last 2 full turns: $MESSAGE[2+]
Everything typed: $ARGUMENTS

Variables:

$1, $2, ... — single positional argument (whitespace-split)
$2+ — argument 2 through the end of input, unsplit
$ARGUMENTS — entire raw argument string (alias for $1+)
$USER[N] — turn N's user message only
$AGENT[N] — turn N's agent + tool output only (no user text)
$MESSAGE[N] — turn N's full merged content (user + agent + tool)
$USER[N+] / $AGENT[N+] / $MESSAGE[N+] — turns 1-N

MCP

[
  {"name": "Tools", "host": "https://...", "token": "secret"}
]

Skills

---
name: Example Skill
description: Instructions on when to read skill
---

How to behave...

Tools

(function(Config) {
    return {
        name: '...',
        description: 'When to call tool & how it works',
        args: {
            url: {type: 'string', description: 'URL to fetch', required: true},
            method: {
                type: 'string',
                description: 'HTTP method to use',
                enum: ['GET', 'POST', 'PUT', 'DELETE'],
                default: 'GET'
            },
            body: {type: 'object', description: 'HTTP body to send', default: {}},
            retry: {type: 'number', description: 'Retry count', default: 1, min: 1, max: 3},
            withCreds: {type: 'boolean', description: 'Send credentials', default: false}
        },
        fn: async ({url, method, body, retry, withCreds}, stream, ai) => {
            const {lib} = await import('...'); // Async Imports

            Config.meta(key); // Access config file properties
            Config.agents; // List of loaded agents: {name: '', description: '', content: ''}[]
            Config.mcp; // List of loaded MCPs: {name: '', host: '', token: ''}[]
            Config.skills; // List of skills: {name: '', description: '', content: ''}[]
            Config.tools; // List of tools: {name: '', description: '', args: {...}, fn: (args, stream, ai) => {...}}[]

            return 'success' || {error: 'failed'}; // Must be JSON serializable
        }
    }
})

Road Map

Tools
- Fix zims
  - Proxy returns 401 since iframe isn't using creds
  - Tools aren't connecting to primary Kiwix server via URL
- Puppeteer/browser
- Email (read inbox / send emails)
- Notifications
- SMS/Phone
- Map route
- Image generator
- Discord/Slack
- Database
Integrate Navi Project
- Voice cloning and TTS
- Voice mode (ASR -> LLM -> TTS)
- Avatar + animations + emoting
- Game World
- Mod support (standardize)

License

See the license for more information.

Dependencies

ID	Version
@scalar/express-api-reference	^0.10.12
@ztimson/ai-utils	^1.6.6
@ztimson/node-utils	^1.0.7
@ztimson/utils	^0.30.8
@ztimson/zim-utils	^0.3.5
bcryptjs	^3.0.3
blessed	^0.1.81
blessed-contrib	^4.11.0
cheerio	^1.2.0
chokidar	^3.5.3
cli-markdown	^3.5.1
commander	^15.0.0
cookie-parser	^1.4.7
cors	^2.8.5
express	^4.18.2
http-proxy-middleware	^4.2.0
jsonwebtoken	^9.0.3
nanoid	^5.0.4
node-cron	^3.0.3
open	^11.0.0
sharp	^0.32.0
socket.io	^4.6.1
socket.io-client	^4.6.1
yaml	^2.9.0

Details

npm

2026-08-29 22:51:51 -04:00

842 KiB

Assets (1)

ai-harness-0.2.13.tgz 842 KiB

Versions (23) View all

0.2.16

2026-09-11

0.2.15

2026-09-11

0.2.14

2026-08-31

0.2.13

2026-08-29

0.2.12

2026-08-29

@ztimson/ai-harness (0.2.13)

Installation

About this package

AI-Harness

Table of Contents

About

Features

Built With

Setup

Procuction

Prerequisites

Instructions

Development

Prerequisites

Instructions

Model Recommendations

Usage

Configuration

Folder Structure

Config File

Agents

Commands

MCP

Skills

Tools

Road Map

License

Dependencies