pinkyclawd 0.1.1

Production-grade TUI for AI-assisted development with RLM context management

PinkyClawd

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│           ◢◤ AI-Powered Development ◥◣                  │
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AI-powered development tool with TUI interface and Recursive Language Model (RLM) context management for unlimited conversation context.

Features

• RLM Context Management: Automatic context archival and retrieval enables conversations beyond context window limits
• Multi-Provider Support: Anthropic (Claude), OpenAI (GPT-4), and more
• Rich TUI Interface: Full-featured terminal UI with Textual
• 14 Built-in Tools: bash, read, write, edit, glob, grep, todo, webfetch, memory, and more
• Session Management: Fork, export, and manage conversation sessions
• Slash Commands: /context, /search, /compact, /models, /agents

Installation

via npm (recommended)

npm install -g pinkyclawd

via pip

pip install pinkyclawd

From source

git clone https://github.com/tekcin/PinkyClawd.git
cd PinkyClawd
pip install -e .

Requirements

• Python 3.11+
• Node.js 16+ (for npm installation)

Usage

# Start the TUI
pinkyclawd

# Start with a specific project
pinkyclawd /path/to/project

# Continue last session
pinkyclawd --continue

# Run a single command (non-interactive)
pinkyclawd run "explain this codebase"

# List available models
pinkyclawd models

Configuration

Create ~/.config/pinkyclawd/pinkyclawd.json:

{
  "model": "anthropic/claude-sonnet-4",
  "theme": "pinkyclawd",
  "rlm": {
    "enabled": true,
    "threshold_ratio": 0.33,
    "auto_retrieve": true
  }
}

Environment Variables

export ANTHROPIC_API_KEY=sk-ant-...
export OPENAI_API_KEY=sk-...

RLM (Recursive Language Model)

RLM enables unlimited context by automatically:

1. Tracking token usage across the conversation
2. Archiving older context when threshold is reached (default: 33%)
3. Retrieving relevant archived context for new queries
4. Injecting context into the conversation seamlessly

Manual RLM Commands

• /context - Show current token usage
• /search <query> - Search archived context
• /compact - Manually trigger context archival

RLM Tools

• memory - Search and retrieve archived context
• rlm_query - Execute Python queries on archived context

License

MIT

Author

Michael Thornton ([e-mail])