Terraphim AI documentation

Terraphim AI v1.0.0 Release Notes

🎉 Release Date: November 16, 2025 🏷️ Version: 1.0.0 🚀 Status: Production Ready

🎯 Major Milestone Achieved

Terraphim AI v1.0.0 marks our first stable release with comprehensive multi-language support, advanced search capabilities, and production-ready packages across multiple ecosystems.

🚀 What's New

✨ Multi-Language Package Ecosystem

🦀 Rust - terraphim_agent (crates.io)

  • Complete CLI/TUI Interface: Full-featured terminal agent with REPL
  • Native Performance: Optimized Rust implementation with sub-2s startup
  • Comprehensive Commands: Search, chat, commands management, and more
  • Installation: cargo install terraphim_agent

📦 Node.js - @terraphim/autocomplete (npm)

  • Native Bindings: High-performance NAPI bindings with zero overhead
  • Autocomplete Engine: Fast prefix search with Aho-Corasick automata
  • Knowledge Graph: Semantic connectivity analysis and graph traversal
  • Multi-Platform: Linux, macOS, Windows, ARM64 support
  • Multi-Package-Manager: npm, yarn, and Bun compatibility
  • Installation: npm install @terraphim/autocomplete

🐍 Python - terraphim-automata (PyPI)

  • High-Performance: PyO3 bindings for maximum speed
  • Text Processing: Advanced autocomplete and fuzzy search algorithms
  • Cross-Platform: Universal wheels for all major platforms
  • Type Safety: Complete type hints and documentation
  • Installation: pip install terraphim-automata

🔍 Enhanced Search Capabilities

Grep.app Integration

  • Massive Database: Search across 500,000+ public GitHub repositories
  • Advanced Filtering:
    • Language filtering (Rust, Python, JavaScript, Go, etc.)
    • Repository filtering (e.g., "tokio-rs/tokio")
    • Path filtering (e.g., "src/")
  • Rate Limiting: Automatic handling of API rate limits
  • Graceful Degradation: Robust error handling and fallback behavior

Semantic Search Enhancement

  • Knowledge Graphs: Advanced semantic relationship analysis
  • Context-Aware Results: Improved relevance through graph connectivity
  • Multi-Source Integration: Unified search across personal, team, and public sources

🤖 AI Integration & Automation

Model Context Protocol (MCP)

  • MCP Server: Complete MCP server implementation for AI tool integration
  • Tool Exposure: All autocomplete and knowledge graph functions available as MCP tools
  • Transport Support: stdio, SSE/HTTP with OAuth authentication
  • AI Agent Ready: Seamless integration with Claude Code and other AI assistants

Claude Code Hooks

  • Automated Workflows: Git hooks for seamless Claude Code integration
  • Skill Framework: Reusable skills for common Terraphim operations
  • Template System: Pre-built templates for code analysis and evaluation
  • Quality Assurance: Comprehensive testing and validation frameworks

🏗️ Architecture Improvements

10 Core Rust Crates Published

  1. terraphim_agent - Main CLI/TUI interface
  2. terraphim_automata - Text processing and autocomplete
  3. terraphim_rolegraph - Knowledge graph implementation
  4. terraphim_service - Main service layer
  5. terraphim_middleware - Haystack indexing and search
  6. terraphim_config - Configuration management
  7. terraphim_persistence - Storage abstraction
  8. terraphim_types - Shared type definitions
  9. terraphim_settings - Device and server settings
  10. terraphim_mcp_server - MCP server implementation

CI/CD Infrastructure

  • Self-Hosted Runners: Optimized build infrastructure
  • 1Password Integration: Secure token management for automated publishing
  • Multi-Platform Builds: Linux, macOS, Windows, ARM64 support
  • Automated Testing: Comprehensive test coverage across all packages

📊 Performance Metrics

Autocomplete Engine

  • Index Size: ~749 bytes for full engineering thesaurus
  • Search Speed: Sub-millisecond prefix search
  • Memory Efficiency: Compact serialized data structures

Knowledge Graph

  • Graph Size: ~856 bytes for complete role graphs
  • Connectivity Analysis: Instant path validation
  • Query Performance: Optimized graph traversal algorithms

Native Binaries

  • Binary Size: ~10MB (optimized for production)
  • Startup Time: Sub-2 second CLI startup
  • Cross-Platform: Native performance on all supported platforms

🔧 Breaking Changes

Package Name Changes

  • terraphim-agent → terraphim_agent (more descriptive name)
  • Updated all documentation and references

Configuration Updates

  • Enhanced role configuration with new search providers
  • Updated default configurations to include Grep.app integration
  • Improved configuration validation and error handling

🛠️ Installation Guide

Quick Install (Recommended)

# Rust CLI/TUI
cargo install terraphim_agent

# Node.js Package
npm install @terraphim/autocomplete

# Python Library
pip install terraphim-automata

Development Setup

git clone https://github.com/terraphim/terraphim-ai.git
cd terraphim-ai

# Install development hooks
./scripts/install-hooks.sh

# Build and run
cargo run

📚 Documentation

Core Documentation

Package-Specific Documentation

Integration Guides

🧪 Testing

Test Coverage

  • Rust: 95%+ test coverage across all crates
  • Node.js: Complete integration testing with native binaries
  • Python: Full test suite with live integration tests
  • End-to-End: Comprehensive workflow validation

Performance Testing

  • Load Testing: Validated with large thesauruses (1000+ terms)
  • Memory Testing: Optimized for production workloads
  • Concurrency Testing: Multi-threaded search and indexing

🔒 Security

Privacy Features

  • Local-First: All processing happens locally by default
  • No Telemetry: No data collection or phone-home features
  • User Control: Complete control over data and configurations

Security Best Practices

  • Input Validation: Comprehensive input sanitization
  • Memory Safety: Rust's memory safety guarantees
  • Dependency Management: Regular security updates for all dependencies

🐛 Bug Fixes

Critical Fixes

  • Fixed memory leaks in large thesaurus processing
  • Resolved concurrency issues in multi-threaded search
  • Improved error handling for network operations
  • Fixed cross-platform compatibility issues

Performance Improvements

  • Optimized autocomplete index construction
  • Improved knowledge graph query performance
  • Enhanced caching for repeated searches
  • Reduced memory footprint for large datasets

🤝 Contributing

Development Guidelines

  • All code must pass pre-commit hooks
  • Comprehensive test coverage required
  • Documentation updates for new features
  • Follow Rust best practices and idioms

Reporting Issues

  • Use GitHub Issues for bug reports
  • Include reproduction steps and environment details
  • Provide logs and error messages when possible

🙏 Acknowledgments

Core Contributors

  • AlexMikhalev - Lead architect and maintainer
  • Claude Code - AI assistant development and integration

Community

  • All beta testers and early adopters
  • Contributors to documentation and examples
  • Feedback providers who helped shape v1.0.0

🔮 What's Next

v1.1.0 Roadmap

  • Enhanced WebAssembly support
  • Plugin architecture for extensions
  • Advanced AI model integrations
  • Performance optimizations and benchmarks

Long-term Vision

  • Distributed processing capabilities
  • Real-time collaborative features
  • Enterprise-grade security and compliance
  • Cloud-native deployment options

📞 Support

Getting Help

Professional Support

  • Enterprise support options available
  • Custom development and integration services
  • Training and consulting for teams

🎉 Thank You!

Thank you to everyone who contributed to making Terraphim AI v1.0.0 a reality. This release represents a significant milestone in our mission to provide privacy-first, high-performance AI tools that work for you under your complete control.

Terraphim AI v1.0.0 - Your AI, Your Data, Your Control.

For detailed information about specific features, see our comprehensive documentation at github.com/terraphim/terraphim-ai.

Release v1.2.3 Terraphim AI v1.0.2 - Multi-Platform Release