🖥️ Memory-powered CLI development with Claude Code and Gemini CLI

This configuration demonstrates Cipher as a memory layer for Claude Code and Gemini CLI. Unlike traditional CLI tools that lose context between sessions, this setup provides persistent memory that grows with your development workflow.

Key Benefits:

• Persistent memory across CLI sessions
• Project-aware assistance that remembers your codebase
• Cross-session learning that builds on previous interactions

Required API Keys:

1. Anthropic API Key - Get from console.anthropic.com
2. OpenAI API Key - Get from platform.openai.com (required for embeddings)
3. Google AI API Key (optional) - Get from Google AI Studio

Set your API keys:

export ANTHROPIC_API_KEY=your_anthropic_api_key export OPENAI_API_KEY=your_openai_api_key export GOOGLE_AI_API_KEY=your_google_ai_api_key # optional

Create or edit .mcp.json in your project root:

{ "mcpServers": { "cipher": { "command": "cipher", "args": ["--mode", "mcp", "--agent", "./cipher.yml"], "env": { "ANTHROPIC_API_KEY": "your_anthropic_api_key", "OPENAI_API_KEY": "your_openai_api_key" } } } }

Add to your Gemini CLI settings.json:

{ "mcpServers": { "cipher": { "command": "cipher", "args": ["--mode", "mcp", "--agent", "./cipher.yml"], "env": { "ANTHROPIC_API_KEY": "your_anthropic_api_key", "OPENAI_API_KEY": "your_openai_api_key" } } } }

Claude Code:

claude > Analyze my project structure and remember the patterns

Gemini CLI:

gemini "Use cipher to analyze my codebase"

Project Analysis:

claude> Analyze my project structure and remember the patterns

Cross-Session Learning:

# Session 1 claude> Help me debug this React performance issue # Session 2 (later) claude> Apply the optimization techniques we discussed yesterday

Code Review:

claude> Review my authentication changes using the security patterns you've learned

This setup provides persistent memory for your CLI development workflow, making your coding agents smarter with every interaction.