Blink

An AI-powered agentic command-based assistant that can read, create, and modify code files with intelligent assistance from Replicate's Claude models.

[=>] Quick Start (3 Ways to Use)

Version	How to Run	Best For
EXE App	Download from Releases & run	[*] Most Users
Python (Raw)	python main.py	Developers
Source Code	Clone & modify	Contributors

[=>] New users? Start with INSTALLATION.md for detailed setup guide

[LOCK] Token handling: The EXE prompts for your API token on startup, validates it, and clears it when you exit. Super secure!

Features

[X] Read Files - Access project files directly (workspace or external paths) [X] Create Files - Generate new files with AI assistance
[X] List Files - Browse your project structure [X] Code Generation - Create code from AI instructions with full context [X] Session History - Track all conversations and commands [X] Session Management - Clear and organize your workspace

Setup

Option 1: Download & Run EXE (Easiest!)

The best way for most users - just download and run!

1. Download Blink.exe from Releases

2. Double-click Blink.exe to run

3. Enter your API token when prompted (one-time validation each run)

4. Start using Blink!

How it works:

• App prompts for your token on startup [X]
• Token is validated immediately [X]
• Token is cleared when you exit [X]
• Token NEVER saved to disk [X]
• Super secure! [LOCK]

Option 2: Run as Python (For Developers)

1. Clone the repository

   git clone https://github.com/yourusername/blink.git
   cd blink
   

2. Create and activate virtual environment

   python -m venv venv
   # Windows:
   venv\Scripts\activate.bat
   # macOS/Linux:
   source venv/bin/activate
   

3. Install dependencies

   pip install -r requirements.txt
   

4. Run Blink

   python main.py
   

   (Will prompt for API token)

Clone, install dependencies, and modify as you like!

Usage

Interactive CLI

python main.py

Available commands (all use :: delimiter):

• read:: <file> - Read a file from workspace or external path
• create:: <file> - Create a new empty file
• list:: [directory] - List files and folders in directory
• generate:: <instruction> - AI code generation with full project context
• chat:: <request> - Chat with AI agent (multi-line, paste code, ask questions)
• history:: - Show conversation history from current session
• clear:: - Clear current session and conversation history
• help:: - Show help message
• exit:: - Save session and exit the CLI

Command Examples

# Read a local file
blink> read:: src/main.ts

# Read from external project
blink> read:: "C:\path\to\project\file.ts"

# Create a new file
blink> create:: new-service.ts

# List directory
blink> list:: src/

# Generate code with AI
blink> generate:: Create a TypeScript validator function

# Chat with AI (conversational, multi-line)
blink> chat:: Create a temperature sensor simulation
[Type your message, paste code, or ask questions]
[Type 'end' on a new line when done]

# View conversation history
blink> history::

# Clear session
blink> clear::

# Show all commands
blink> help::

# Exit
blink> exit::

Project Structure

blink/
├── .env                    # API credentials (add your token here)
├── .gitignore             # Git ignore rules
├── requirements.txt       # Python dependencies
├── README.md              # This file
├── main.py                      # CLI entry point
├── workspace/                   # Project workspace (created automatically)
└── src/
    ├── __init__.py
    ├── config.py                # Configuration management
    ├── robust_file_handler.py   # Cross-platform file operations
    ├── replicate_api.py         # Replicate API integration
    ├── enhanced_agent.py        # Main agent logic with MCP
    ├── mcp_server.py            # MCP server for autonomous tool access
    ├── conversation_memory.py   # Session memory and history
    └── simplified_cli.py        # Modern CLI interface

Example Workflow

1. Read existing code

blink> read:: src/ph-sensor.service.ts

2. Generate code from specification

blink> generate:: Add error handling and logging to the sensor service

3. Create a new file with generated code

blink> create:: new-service.ts
(Then use generate:: to populate it with AI-generated code)

4. View conversation history

blink> history::

5. Save and exit

blink> exit::

Requirements

• Python 3.8+
• Replicate API token (free tier available)
• Internet connection

Models Supported

• anthropic/claude-4.5-sonnet (recommended) - Latest, most capable
• anthropic/claude-3.5-sonnet - Fast and efficient
• Other Replicate-hosted Claude models

How Blink Works

Agentic AI with MCP (Model Context Protocol)

Blink uses an intelligent agent that:

• Reads files from your workspace and external projects
• Maintains conversation history across sessions
• Has access to your project structure via MCP tools
• Provides context-aware code generation
• Supports both relative and absolute file paths

Troubleshooting

"REPLICATE_API_TOKEN is not set"

Make sure you've added your token to the .env file:

REPLICATE_API_TOKEN=your_actual_token_here

API Rate Limits

If you hit rate limits, wait a moment before retrying. Free tier has limits on requests.

File Not Found

Make sure file paths are relative to the workspace directory or use absolute paths.

License

MIT

Support

For issues or questions:

1. Check your API token in .env
2. Ensure all dependencies are installed: pip install -r requirements.txt
3. Verify internet connection for API calls
4. Use help:: command within Blink for command reference