# clausidian > Claude Code's Obsidian integration — AI agent toolkit for vault management, journal, notes, search, index sync, and more - **URL**: https://www.freshcrate.ai/projects/clausidian - **Author**: redredchen01 - **Category**: MCP Servers - **Latest version**: `3.7.0` (2026-04-21) - **License**: MIT - **Source**: https://github.com/redredchen01/Clausidian - **Homepage**: https://github.com/redredchen01/Clausidian#readme - **Language**: JavaScript - **GitHub**: 1 stars, 1 forks - **Registry**: npm (`clausidian`) - **Tags**: `ai-agent`, `automation`, `claude-code`, `cli`, `knowledge-base`, `markdown`, `mcp`, `npm`, `obsidian` ## Description Claude Code's Obsidian integration — AI agent toolkit for vault management, journal, notes, search, index sync, and more ## Recent releases | Version | Date | Urgency | Changes | | --- | --- | --- | --- | | `3.7.0` | 2026-04-21 | Low | Imported from npm (3.7.0) | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | | `v3.7.0` | 2026-04-07 | Medium | ## Phase 3.7: Vector Embedding Search ### Features - **Semantic search** via TF-IDF sparse vectors + k-NN - CLI: `memory semantic [--k N]` - MCP tool: `memory-semantic-search` - Zero external dependencies (reuses scoring.mjs) - Vault-version-aware caching ### What's New - EmbeddingStore class for k-NN search - SimilarityEngine.semanticSearch() method - MCP tool registration for Claude integration - All 394 tests passing ### Commits - 726cbd0: Vector embedding store foundation - 03fffd | ## Dependency audit - **Score**: 100/100 - **Total deps**: 0 - **Resolved**: 0 - **Unresolved**: 0 - **License conflicts**: 0 - **Warnings**: 0 - **Scanned**: 2026-06-01 ## Citation - HTML: https://www.freshcrate.ai/projects/clausidian - Markdown: https://www.freshcrate.ai/projects/clausidian.md - Dependencies JSON: https://www.freshcrate.ai/api/projects/clausidian/deps _Generated by freshcrate.ai. Indexes npm releases for AI-agent ecosystem packages._