Add auto-capture system (Milestone 2)

- Add capture configuration system with modes: always, manual, decisions, off
- Add Ollama-based conversation summarization and extraction
- Add deduplication via embedding similarity (merge >0.90, link 0.75-0.90)
- Add CLI commands: capture, capture-hook, config
- Add MCP tools: memory_capture, memory_remember, memory_capture_config
- Include summary.ts (previously uncommitted)

src/mcp/index.ts

@@ -385,6 +385,69 @@ server.tool(
   }
 );
 
+// --- memory_capture ---
+import { captureConversation, captureText, getCaptureConfig, setCaptureConfig, CaptureMode } from '../core/capture';
+
+server.tool(
+  'memory_capture',
+  'Capture a conversation or context as a memory node. Uses AI to summarize and extract key information.',
+  {
+    conversation: z.string().describe('The conversation or context to capture'),
+    sessionId: z.string().optional().describe('Session identifier'),
+    filesChanged: z.array(z.string()).optional().describe('List of files that were changed'),
+    source: z.string().optional().describe('Source identifier (default: claude-code)'),
+  },
+  async ({ conversation, sessionId, filesChanged, source }) => {
+    const result = await captureConversation({
+      conversation,
+      sessionId,
+      filesChanged,
+      source: source || 'claude-code',
+    });
+    return { content: [{ type: 'text' as const, text: serialize(result) }] };
+  }
+);
+
+server.tool(
+  'memory_remember',
+  'Remember a piece of text for later. Simpler than memory_capture - for quick notes and facts.',
+  {
+    text: z.string().describe('The text to remember'),
+    tags: z.array(z.string()).optional().describe('Tags to apply'),
+  },
+  async ({ text, tags }) => {
+    const result = await captureText(text, { tags, source: 'remember' });
+    return { content: [{ type: 'text' as const, text: serialize(result) }] };
+  }
+);
+
+server.tool(
+  'memory_capture_config',
+  'Get or set auto-capture configuration',
+  {
+    action: z.enum(['get', 'set']).describe('Action to perform'),
+    mode: z.enum(['always', 'manual', 'decisions', 'off']).optional().describe('Capture mode (for set)'),
+    minLength: z.number().optional().describe('Minimum conversation length (for set)'),
+    autoTag: z.boolean().optional().describe('Auto-generate tags (for set)'),
+    linkRelated: z.boolean().optional().describe('Auto-link related nodes (for set)'),
+  },
+  async ({ action, mode, minLength, autoTag, linkRelated }) => {
+    if (action === 'get') {
+      const config = getCaptureConfig();
+      return { content: [{ type: 'text' as const, text: serialize(config) }] };
+    }
+
+    const updates: Partial<{ mode: CaptureMode; minLength: number; autoTag: boolean; linkRelated: boolean }> = {};
+    if (mode !== undefined) updates.mode = mode;
+    if (minLength !== undefined) updates.minLength = minLength;
+    if (autoTag !== undefined) updates.autoTag = autoTag;
+    if (linkRelated !== undefined) updates.linkRelated = linkRelated;
+
+    const config = setCaptureConfig(updates);
+    return { content: [{ type: 'text' as const, text: serialize({ updated: true, config }) }] };
+  }
+);
+
 // --- memory_prompt ---
 import { interpretAndExecute } from '../core/prompt/interpreter';