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4 | 4 |
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5 | 5 | Terraphim AI is a privacy-first, locally-running AI assistant featuring multi-agent systems, knowledge graph intelligence, and secure code execution in Firecracker microVMs. The project combines Rust-based backend services with vanilla JavaScript frontends, emphasizing security, performance, and production-ready architecture. |
6 | 6 |
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7 | | -**Current Status**: Production-ready with active development on advanced features |
8 | | -**Primary Technologies**: Rust (async/tokio), Svelte/Vanilla JS, Firecracker VMs, OpenRouter/Ollama LLMs |
| 7 | +**Current Status**: v1.0.0 RELEASED - Production-ready with comprehensive multi-language package ecosystem |
| 8 | +**Primary Technologies**: Rust (async/tokio), Svelte/Vanilla JS, Firecracker VMs, OpenRouter/Ollama LLMs, NAPI, PyO3 |
9 | 9 | **Test Coverage**: 99+ comprehensive tests with 59 passing in main workspace |
10 | 10 |
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11 | 11 | ## System Architecture |
@@ -252,6 +252,91 @@ cd desktop && yarn run check |
252 | 252 | 3. **Haystack Integration** (4 crates): atomic_client, clickup_client, query_rs_client, persistence |
253 | 253 | 4. **Infrastructure**: settings, tui, onepassword_cli, markdown_parser |
254 | 254 |
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| 255 | +## 🎉 v1.0.0 Major Release Achievements |
| 256 | + |
| 257 | +### Multi-Language Package Ecosystem ✅ |
| 258 | + |
| 259 | +**🦀 Rust - terraphim_agent (crates.io)**: |
| 260 | +- Complete CLI/TUI interface with REPL functionality |
| 261 | +- Sub-2 second startup times and 10MB optimized binary |
| 262 | +- Installation: `cargo install terraphim_agent` |
| 263 | +- Published with comprehensive documentation and examples |
| 264 | + |
| 265 | +**📦 Node.js - @terraphim/autocomplete (npm)**: |
| 266 | +- Native NAPI bindings with zero overhead |
| 267 | +- High-performance autocomplete engine using Aho-Corasick automata |
| 268 | +- Knowledge graph connectivity analysis and semantic search |
| 269 | +- Multi-platform support (Linux, macOS, Windows, ARM64) |
| 270 | +- Bun package manager optimization included |
| 271 | +- Installation: `npm install @terraphim/autocomplete` |
| 272 | + |
| 273 | +**🐍 Python - terraphim-automata (PyPI)**: |
| 274 | +- PyO3 bindings for maximum performance |
| 275 | +- Cross-platform wheels for all major platforms |
| 276 | +- Type hints and comprehensive documentation |
| 277 | +- Installation: `pip install terraphim-automata` |
| 278 | + |
| 279 | +### Enhanced Search Capabilities ✅ |
| 280 | + |
| 281 | +**Grep.app Integration**: |
| 282 | +- Search across 500,000+ public GitHub repositories |
| 283 | +- Advanced filtering by language, repository, and path |
| 284 | +- Rate limiting and graceful error handling |
| 285 | + |
| 286 | +**Semantic Search Enhancement**: |
| 287 | +- Knowledge graph-powered semantic understanding |
| 288 | +- Context-aware relevance through graph connectivity |
| 289 | +- Multi-source integration (personal, team, public) |
| 290 | + |
| 291 | +### AI Integration & Automation ✅ |
| 292 | + |
| 293 | +**MCP Server Implementation**: |
| 294 | +- Complete Model Context Protocol server for AI tool integration |
| 295 | +- All autocomplete and knowledge graph functions exposed as MCP tools |
| 296 | +- Transport support: stdio, SSE/HTTP with OAuth authentication |
| 297 | + |
| 298 | +**Claude Code Hooks**: |
| 299 | +- Automated workflows for seamless Claude Code integration |
| 300 | +- Template system for code analysis and evaluation |
| 301 | +- Quality assurance frameworks and comprehensive testing |
| 302 | + |
| 303 | +### Infrastructure Improvements ✅ |
| 304 | + |
| 305 | +**CI/CD Migration**: |
| 306 | +- Complete migration from Earthly to GitHub Actions + Docker Buildx |
| 307 | +- Self-hosted runners for optimized build infrastructure |
| 308 | +- 1Password integration for secure token management |
| 309 | +- Multi-platform builds (Linux, macOS, Windows, ARM64) |
| 310 | + |
| 311 | +**10 Core Rust Crates Published**: |
| 312 | +1. terraphim_agent - Main CLI/TUI interface |
| 313 | +2. terraphim_automata - Text processing and autocomplete |
| 314 | +3. terraphim_rolegraph - Knowledge graph implementation |
| 315 | +4. terraphim_service - Main service layer |
| 316 | +5. terraphim_middleware - Haystack indexing and search |
| 317 | +6. terraphim_config - Configuration management |
| 318 | +7. terraphim_persistence - Storage abstraction |
| 319 | +8. terraphim_types - Shared type definitions |
| 320 | +9. terraphim_settings - Device and server settings |
| 321 | +10. terraphim_mcp_server - MCP server implementation |
| 322 | + |
| 323 | +### Performance Metrics ✅ |
| 324 | + |
| 325 | +**Autocomplete Engine**: |
| 326 | +- Index Size: ~749 bytes for full engineering thesaurus |
| 327 | +- Search Speed: Sub-millisecond prefix search |
| 328 | +- Memory Efficiency: Compact serialized data structures |
| 329 | + |
| 330 | +**Knowledge Graph**: |
| 331 | +- Graph Size: ~856 bytes for complete role graphs |
| 332 | +- Connectivity Analysis: Instant path validation |
| 333 | +- Query Performance: Optimized graph traversal algorithms |
| 334 | + |
| 335 | +**Native Binaries**: |
| 336 | +- Binary Size: ~10MB (production optimized) |
| 337 | +- Startup Time: Sub-2 second CLI startup |
| 338 | +- Cross-Platform: Native performance on all supported platforms |
| 339 | + |
255 | 340 | ## Development Patterns and Best Practices |
256 | 341 |
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257 | 342 | ### Learned Patterns (From lessons-learned.md) |
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