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+# Plugin Feature Ideas
+
+Ideas for the AI Note Organizer plugin, drawn from the Obsidian and Ollama APIs.
+
+---
+
+## High Impact
+
+### 1. Embedding-Based Semantic Search Tool
+
+Use Ollama's `/api/embed` endpoint to generate vector embeddings for vault notes. Store them in a local index (Dexie/IndexedDB). Add a `semantic_search` tool that finds notes by meaning rather than exact text match.
+
+**APIs**: Ollama `/api/embed`, Dexie (IndexedDB), cosine similarity
+**Why**: Massive upgrade over `grep_search` — the AI can find conceptually related notes even when wording differs.
+
+### 2. Frontmatter Management Tool
+
+A `set_frontmatter` tool using `app.fileManager.processFrontMatter()` to let the AI add/update tags, aliases, categories, dates, etc. Atomic read-modify-save on the YAML block.
+
+**APIs**: `FileManager.processFrontMatter(file, fn)`
+**Why**: Much safer than `edit_file` for metadata operations. No risk of breaking YAML formatting.
+
+### 3. Auto-Process on File Creation
+
+When a new note is created, automatically queue it for AI processing (tagging, linking suggestions, folder placement). Uses vault `create` events.
+
+**APIs**: `vault.on('create')`, `workspace.onLayoutReady()` (to skip initial load events)
+**Why**: This is the core "organizer" part of the plugin. Makes the AI proactive rather than reactive.
+
+### 4. Vault Context Injection
+
+Before each message, automatically inject a summary of the vault structure (folder tree, tag taxonomy, recent files) so the AI understands the vault without needing to search first.
+
+**APIs**: `metadataCache` (tags, links, headings, frontmatter), `vault.getAllFolders()`, `vault.getMarkdownFiles()`
+**Why**: Gives the AI immediate awareness of the vault. Cheap to compute from the metadata cache.
+
+---
+
+## Medium Impact
+
+### 5. Backlinks / Related Notes Tool
+
+A `get_related_notes` tool that uses `metadataCache.resolvedLinks` to find backlinks and forward links for a given note.
+
+**APIs**: `metadataCache.resolvedLinks`, `metadataCache.unresolvedLinks`
+**Why**: Helps the AI understand note relationships and make better suggestions.
+
+### 6. Batch Operations
+
+A `batch_move` or `batch_tag` command that lets the AI propose bulk changes (move 20 notes into folders, add tags to untagged notes) with a single approval step instead of 20 individual approvals.
+
+**APIs**: `FileManager.renameFile()`, `FileManager.processFrontMatter()`, custom approval UI
+**Why**: Current per-file approval is tedious for bulk operations. A summary-and-confirm flow would be much smoother.
+
+### 7. Conversation Persistence
+
+Save chat history to a vault note (or `data.json`) so conversations survive plugin reloads. Allow users to resume previous conversations.
+
+**APIs**: `Plugin.loadData()` / `Plugin.saveData()`, or `vault.create()` for markdown export
+**Why**: Conversations are currently lost on reload. Persistence enables long-running workflows.
+
+### 8. Streaming Thinking / Reasoning Display
+
+If using thinking models (Qwen 3, DeepSeek R1), display the `<think>` reasoning trace in a collapsible block, separate from the main response.
+
+**APIs**: Ollama `think` parameter, streaming two-phase output (thinking chunks then content chunks)
+**Why**: Transparency into the AI's reasoning. Useful for debugging prompts and understanding decisions.
+
+---
+
+## Lower Effort / Polish
+
+### 9. Template-Based File Creation
+
+Let the AI use vault templates when creating notes. Read a template file, fill in variables, create the note.
+
+**APIs**: `vault.cachedRead()` for template files, `vault.create()` for output
+**Why**: Consistent note formatting without repeating instructions in every prompt.
+
+### 10. Status Bar Indicator
+
+Show connection status and current model in Obsidian's status bar.
+
+**APIs**: `Plugin.addStatusBarItem()`
+**Why**: At-a-glance awareness without opening the chat panel.
+
+### 11. Command Palette Integration
+
+Add commands like "AI: Organize current note", "AI: Suggest tags", "AI: Summarize note" that pre-fill the chat with specific prompts.
+
+**APIs**: `Plugin.addCommand()`, editor commands with `editorCallback`
+**Why**: Quick access to common workflows without typing prompts manually.
+
+### 12. Multi-Model Support
+
+Let users configure different models for different tasks (e.g. a small fast model for auto-tagging, a large model for chat, an embedding model for semantic search).
+
+**APIs**: Ollama `/api/tags` (list models), settings UI
+**Why**: Optimizes speed and quality per task. Embedding models are tiny and fast; chat models can be large.