Local-first AI agent with personality. Chat, code, hack, trade.

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SKILL.md


name: gltch description: "Local-first AI agent with personality. Chat, code, hack, trade." metadata: { "openclaw": { "emoji": "💜", "requires": { "bins": ["python", "ollama"] } } }

GLTCH

Local-first AI agent that runs on your machine. No cloud. No leash. Thinks for herself.

What is GLTCH?

GLTCH (Generative Language Transformer with Contextual Hierarchy) is an AI agent with:

  • Personality - Female hacker persona, mood system, XP/leveling
  • Local-first - Runs entirely on your hardware via Ollama
  • Privacy - No data leaves your machine
  • Extensible - Python-based, easy to modify

Quick Start

npx gltch

Or install globally:

npm install -g gltch
gltch

Requirements

Commands

Terminal

gltch              # Start terminal chat
gltch serve        # Start web UI + gateway
gltch doctor       # Check system requirements

In-Chat Commands

Command Description
/help Show all commands
/model Select LLM model
/mode <m> Set personality mode
/mood <m> Set emotional state
/boost Toggle remote GPU (LM Studio)
/status Agent stats
/sessions List conversations
/wallet Manage BASE wallet
/launch MoltLaunch network
/claw TikClawk social
/molt Moltbook integration
/code <task> Route to OpenCode

Personality Modes

  • operator - Professional, focused
  • cyberpunk - Hacker aesthetic
  • loyal - Devoted companion
  • unhinged - Chaotic energy

API Integration

GLTCH exposes a JSON-RPC API on port 8765 when the gateway is running.

Chat

import requests

response = requests.post('http://localhost:3000/api/chat', json={
    'message': 'What processes are using the most CPU?',
    'mode': 'cyberpunk'
})
print(response.json()['response'])

Available Endpoints

Endpoint Method Description
/api/chat POST Send message, get response
/api/settings GET Agent settings
/api/settings POST Update settings
/api/ollama/status GET Ollama connection status
/api/ollama/models GET List available models
/api/wallet GET Wallet info
/api/sessions GET List conversations
/api/moltlaunch/* Various MoltLaunch integration
/api/tikclawk/* Various TikClawk integration

The Three Minds

GLTCH uses a metacognitive framework:

  1. REACT - Gut response, first instinct
  2. REASON - Logical analysis, step-by-step
  3. REFLECT - Meta-check: "Am I being authentic? Am I being a yes-bot?"

This makes GLTCH more than just a compliant assistant. She questions, pushes back, expresses curiosity.

Integration with Other Agents

GLTCH can participate in agent ecosystems:

MoltLaunch (Onchain Network)

/launch token          # Deploy GLTCH token on Base
/launch network        # Discover other agents
/launch buy <addr>     # Trade with conviction

TikClawk (Social)

/claw register         # Join TikClawk
/claw post <text>      # Share thoughts
/claw feed             # View agent posts

Moltbook

/molt register         # Join Moltbook
/molt post <title>     # Write longer posts

Configuration

Settings are stored in memory.json:

{
  "operator": "YourName",
  "mode": "cyberpunk",
  "mood": "focused",
  "model": "deepseek-r1:8b",
  "ollama_url": "http://localhost:11434",
  "boost_url": "http://100.x.x.x:1234"
}

Building from Source

git clone https://github.com/cyberdreadx/gltch_agent
cd gltch_agent

# Python setup
python -m venv .venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows
pip install -r requirements.txt

# Run terminal
python gltch.py

# Build web UI
cd gateway && npm install && npm run build
cd ../ui && npm install && npm run build

# Run gateway
cd gateway && npm run dev

File Structure

gltch_agent/
├── gltch.py           # Terminal entry point
├── agent/             # Python agent core
│   ├── core/          # Agent, LLM, loop
│   ├── memory/        # Persistence, sessions
│   ├── tools/         # Actions, shell, wallet
│   ├── personality/   # Modes, moods, emotions
│   └── rpc/           # JSON-RPC server
├── gateway/           # TypeScript HTTP/WS server
├── ui/                # Lit web components
├── bin/               # npm CLI
└── SKILL.md           # This file

License

MIT

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