Platform Integration Guide

// Resolve the worker port at runtime. The default is per-user (37700 + uid % 100),
// or whatever the user set via CLAUDE_MEM_WORKER_PORT / settings.json. Read it from
// process.env.CLAUDE_MEM_WORKER_PORT, then ~/.claude-mem/settings.json
// (CLAUDE_MEM_WORKER_PORT key), then fall back to the deterministic default.
const WORKER_BASE_URL = `http://127.0.0.1:${workerPort}`;

// Health check
GET /api/health

// Create/get session and queue observation
POST /api/sessions/observations
Body: { claudeSessionId, tool_name, tool_input, tool_response, cwd }

// Queue summary
POST /api/sessions/summarize
Body: { claudeSessionId, last_user_message, last_assistant_message }

// Complete session
POST /api/sessions/complete
Body: { claudeSessionId }

// Search observations
GET /api/search?query=authentication&type=observations&format=index&limit=20

// Get recent context for project
GET /api/context/recent?project=my-project&limit=3

CLAUDE_MEM_MODEL=claude-haiku-4-5-20251001  # Default Claude model for observations/summaries
CLAUDE_MEM_CONTEXT_OBSERVATIONS=50          # Observations injected at SessionStart
CLAUDE_MEM_WORKER_PORT=                     # Optional override; default = 37700 + (uid % 100)
CLAUDE_MEM_DATA_DIR=                        # Optional override for the data directory
CLAUDE_MEM_PYTHON_VERSION=3.13              # Python version for chroma-mcp

npm run build                 # Compile TypeScript (hooks + worker)
npm run sync-marketplace      # Copy to ~/.claude/plugins
npm run worker:restart        # Restart worker
npm run worker:logs           # View worker logs
npm run worker:status         # Check worker status

Platform Hook/Extension
  → HTTP Request to Worker (`${WORKER_BASE_URL}` — per-user, default 37700+uid%100)
    → Route Handler (SessionRoutes/DataRoutes/SearchRoutes/etc.)
      → Domain Service (SessionManager/SearchManager/DatabaseManager)
        → Database (SQLite3 + Chroma vector DB)
          → SSE Broadcast (real-time UI updates)

```json Response
{ "status": "queued" }
// or
{ "status": "skipped", "reason": "private" }

```json Response
{ "status": "queued" }
// or
{ "status": "skipped", "reason": "private" }

```json Response
{ "success": true }
// or
{ "success": true, "message": "No active session found" }

{
  "items": [...],
  "hasMore": boolean,
  "offset": number,
  "limit": number
}

GET /api/stats

{
  "worker": {
    "version": "7.0.0",
    "uptime": 12345,
    "activeSessions": 2,
    "sseClients": 1,
    "port": 37742
  },
  "database": {
    "path": "~/.claude-mem/claude-mem.db",
    "size": 1048576,
    "observations": 500,
    "sessions": 50,
    "summaries": 25
  }
}

GET /api/projects

{
  "projects": ["claude-mem", "other-project", ...]
}

GET /api/processing-status

{
  "isProcessing": boolean,
  "queueDepth": number
}

GET /api/search?query=authentication&type=observations&format=index&limit=20

{
  "observations": [...],
  "sessions": [...],
  "prompts": [...]
}

GET /api/timeline?anchor=123&depth_before=10&depth_after=10&project=my-project

[
  { "type": "observation", "id": 120, "created_at_epoch": ..., ... },
  { "type": "session", "id": 5, "created_at_epoch": ..., ... },
  { "type": "observation", "id": 123, "created_at_epoch": ..., ... }
]

GET /api/search/by-concept?concept=discovery&format=index&limit=10&project=my-project

GET /api/search/by-file?filePath=src/services/worker-service.ts&format=index&limit=10

GET /api/search/by-type?type=bugfix&format=index&limit=10

GET /api/context/recent?project=my-project&limit=3

{
  "summaries": [...],
  "observations": [...]
}

GET /api/context/preview?project=my-project

GET /api/context/inject?project=my-project&colors=true

{
  "sidebarOpen": boolean,
  "selectedProject": string | null
}

POST /api/settings
Body: { "sidebarOpen": true, "selectedProject": "my-project" }

{ "success": true }

{ "enabled": boolean }

POST /api/mcp/toggle
Body: { "enabled": true }

{ "success": true, "enabled": boolean }

GET /api/health

{ "status": "ok" }

GET /

GET /stream

interface ActiveSession {
  sessionDbId: number;                  // Database ID (numeric)
  claudeSessionId: string;              // Claude session identifier (string)
  sdkSessionId: string | null;          // SDK session ID
  project: string;                      // Project name
  userPrompt: string;                   // Current user prompt text
  pendingMessages: PendingMessage[];    // Queue of pending operations
  abortController: AbortController;     // For cancellation
  generatorPromise: Promise<void> | null; // SDK agent promise
  lastPromptNumber: number;             // Last processed prompt number
  startTime: number;                    // Session start timestamp
  cumulativeInputTokens: number;        // Total input tokens
  cumulativeOutputTokens: number;       // Total output tokens
}

interface PendingMessage {
  type: 'observation' | 'summarize';
  tool_name?: string;
  tool_input?: any;
  tool_response?: any;
  prompt_number?: number;
  cwd?: string;
  last_user_message?: string;
  last_assistant_message?: string;
}

interface ObservationSearchResult {
  id: number;
  title: string;
  subtitle?: string;
  summary: string;
  facts: string[];         // Parsed from JSON
  concepts: string[];      // Parsed from JSON
  files_touched: string[]; // Parsed from JSON
  obs_type: string;
  project: string;
  created_at_epoch: number;
  prompt_number: number;
  rank?: number;           // FTS5 rank score
}

interface SessionSummarySearchResult {
  id: number;
  summary_text: string;
  facts: string[];
  concepts: string[];
  files_touched: string[];
  project: string;
  created_at_epoch: number;
  rank?: number;
}

interface UserPromptSearchResult {
  id: number;
  claude_session_id: string;
  project: string;
  prompt_number: number;
  prompt_text: string;
  created_at_epoch: number;
  rank?: number;
}

interface TimelineItem {
  type: 'observation' | 'session' | 'prompt';
  id: number;
  created_at_epoch: number;
  // Entity-specific fields based on type
}

  const response = await fetch(`${WORKER_BASE_URL}/api/sessions/observations`, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      claudeSessionId: session_id,
      tool_name,
      tool_input,
      tool_response: tool_result,
      cwd
    })
  });

  const result = await response.json();
  // result.status === 'queued' | 'skipped'
}
```

  await fetch(`${WORKER_BASE_URL}/api/sessions/summarize`, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      claudeSessionId: session_id,
      last_user_message,
      last_assistant_message
    })
  });
}
```

  await fetch(`${WORKER_BASE_URL}/api/sessions/complete`, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      claudeSessionId: session_id
    })
  });
}
```

import * as vscode from 'vscode';

interface SearchTool extends vscode.LanguageModelChatTool {
  invoke(
    options: vscode.LanguageModelToolInvocationOptions<{ query: string }>,
    token: vscode.CancellationToken
  ): vscode.ProviderResult<vscode.LanguageModelToolResult>;
}

const searchTool: SearchTool = {
  invoke: async (options, token) => {
    const { query } = options.input;

    try {
      const response = await fetch(
        `${WORKER_BASE_URL}/api/search?query=${encodeURIComponent(query)}&format=index&limit=10`
      );

      if (!response.ok) {
        throw new Error(`Search failed: ${response.statusText}`);
      }

      const results = await response.json();

      // Format results for language model
      return new vscode.LanguageModelToolResult([
        new vscode.LanguageModelTextPart(JSON.stringify(results, null, 2))
      ]);
    } catch (error) {
      return new vscode.LanguageModelToolResult([
        new vscode.LanguageModelTextPart(`Error: ${error.message}`)
      ]);
    }
  }
};

// Register tool
vscode.lm.registerTool('claude-mem-search', searchTool);

const participant = vscode.chat.createChatParticipant('claude-mem', async (request, context, stream, token) => {
  const claudeSessionId = context.session.id;

  // First message in conversation - no initialization needed
  // Session is auto-created on first observation

  // Process user message
  stream.markdown(`Searching memory for: ${request.prompt}\n\n`);

  const response = await fetch(
    `${WORKER_BASE_URL}/api/search?query=${encodeURIComponent(request.prompt)}&format=index&limit=5`
  );

  const results = await response.json();

  if (results.observations?.length > 0) {
    stream.markdown('**Found observations:**\n');
    for (const obs of results.observations) {
      stream.markdown(`- ${obs.title} (${obs.project})\n`);
    }
  }

  return { metadata: { command: 'search' } };
});

async function callWorkerWithFallback<T>(
  endpoint: string,
  options?: RequestInit
): Promise<T | null> {
  try {
    const response = await fetch(`${WORKER_BASE_URL}${endpoint}`, {
      ...options,
      signal: AbortSignal.timeout(5000) // 5s timeout
    });

    if (!response.ok) {
      throw new Error(`HTTP ${response.status}: ${response.statusText}`);
    }

    return await response.json();
  } catch (error) {
    console.error(`Worker unavailable (${endpoint}):`, error);
    return null; // Graceful degradation
  }
}

async function retryWithBackoff<T>(
  fn: () => Promise<T>,
  maxRetries = 3,
  baseDelay = 100
): Promise<T> {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      return await fn();
    } catch (error) {
      if (attempt === maxRetries - 1) throw error;

      const delay = baseDelay * Math.pow(2, attempt);
      await new Promise(resolve => setTimeout(resolve, delay));
    }
  }
  throw new Error('Max retries exceeded');
}

async function isWorkerHealthy(): Promise<boolean> {
  try {
    const response = await fetch(`${WORKER_BASE_URL}/api/health`, {
      signal: AbortSignal.timeout(2000)
    });
    return response.ok;
  } catch {
    return false;
  }
}

class WorkerUnavailableError extends Error {
  constructor() {
    super('Claude-mem worker is not running or unreachable');
    this.name = 'WorkerUnavailableError';
  }
}

class WorkerTimeoutError extends Error {
  constructor(endpoint: string) {
    super(`Worker request timed out: ${endpoint}`);
    this.name = 'WorkerTimeoutError';
  }
}

function connectToSSE(onEvent: (event: any) => void) {
  const eventSource = new EventSource(`${WORKER_BASE_URL}/stream`);

  eventSource.onmessage = (event) => {
    try {
      const data = JSON.parse(event.data);
      onEvent(data);
    } catch (error) {
      console.error('SSE parse error:', error);
    }
  };

  eventSource.onerror = (error) => {
    console.error('SSE connection error:', error);
    eventSource.close();

    // Reconnect after 5 seconds
    setTimeout(() => connectToSSE(onEvent), 5000);
  };

  return eventSource;
}

vscode-extension/
├── src/
│   ├── extension.ts              # Extension entry point
│   ├── services/
│   │   ├── WorkerClient.ts       # HTTP client for worker
│   │   └── MemoryManager.ts      # High-level memory operations
│   ├── chat/
│   │   └── participant.ts        # Chat participant implementation
│   └── tools/
│       ├── search.ts             # Search language model tool
│       └── context.ts            # Context injection tool
├── package.json
├── tsconfig.json
└── README.md

// build.js
const esbuild = require('esbuild');

esbuild.build({
  entryPoints: ['src/extension.ts'],
  bundle: true,
  outfile: 'dist/extension.js',
  external: ['vscode'],
  format: 'cjs',
  platform: 'node',
  target: 'node18',
  sourcemap: true
}).catch(() => process.exit(1));

{
  "name": "claude-mem-vscode",
  "displayName": "Claude-Mem",
  "version": "1.0.0",
  "engines": {
    "vscode": "^1.95.0"
  },
  "activationEvents": [
    "onStartupFinished"
  ],
  "main": "./dist/extension.js",
  "contributes": {
    "chatParticipants": [
      {
        "id": "claude-mem",
        "name": "memory",
        "description": "Search your persistent memory"
      }
    ],
    "languageModelTools": [
      {
        "name": "claude-mem-search",
        "displayName": "Search Memory",
        "description": "Search persistent memory for observations, sessions, and prompts"
      }
    ]
  },
  "scripts": {
    "build": "node build.js",
    "watch": "node build.js --watch",
    "package": "vsce package"
  },
  "devDependencies": {
    "@types/vscode": "^1.95.0",
    "esbuild": "^0.19.0",
    "typescript": "^5.3.0"
  }
}

{
  "version": "0.2.0",
  "configurations": [
    {
      "name": "Run Extension",
      "type": "extensionHost",
      "request": "launch",
      "args": [
        "--extensionDevelopmentPath=${workspaceFolder}"
      ],
      "outFiles": [
        "${workspaceFolder}/dist/**/*.js"
      ],
      "preLaunchTask": "npm: build"
    }
  ]
}

import { describe, it, expect } from 'vitest';
import { WorkerClient } from '../src/services/WorkerClient';

describe('WorkerClient', () => {
  it('should check worker health', async () => {
    const client = new WorkerClient();
    const healthy = await client.isHealthy();
    expect(healthy).toBe(true);
  });

  it('should queue observation', async () => {
    const client = new WorkerClient();
    const result = await client.queueObservation({
      claudeSessionId: 'test-123',
      tool_name: 'Bash',
      tool_input: { command: 'ls' },
      tool_response: { stdout: 'file1.txt' },
      cwd: '/tmp'
    });
    expect(result.status).toBe('queued');
  });

  it('should search observations', async () => {
    const client = new WorkerClient();
    const results = await client.search({ query: 'test', limit: 5 });
    expect(results).toHaveProperty('observations');
  });
});

import { spawn } from 'child_process';
import { describe, it, expect, beforeAll, afterAll } from 'vitest';

describe('Worker Integration', () => {
  let workerProcess: ReturnType<typeof spawn>;

  beforeAll(async () => {
    // Start worker process
    workerProcess = spawn('node', ['dist/worker-service.js'], {
      env: { ...process.env, CLAUDE_MEM_WORKER_PORT: '37778' }
    });

    // Wait for worker to be ready
    await new Promise(resolve => setTimeout(resolve, 2000));
  });

  afterAll(() => {
    workerProcess.kill();
  });

  it('should respond to health check', async () => {
    const response = await fetch('http://localhost:37778/api/health');
    expect(response.ok).toBe(true);
  });
});

if (!response.ok) {
  throw new Error(`Failed to queue observation: ${response.statusText}`);
}

return await response.json();

if (!response.ok) {
  throw new Error(`Failed to queue summary: ${response.statusText}`);
}

return await response.json();

if (!response.ok) {
  throw new Error(`Failed to complete session: ${response.statusText}`);
}

const response = await fetch(
  `${this.baseUrl}/api/search?${queryString}`,
  { signal: AbortSignal.timeout(10000) }
);

if (!response.ok) {
  throw new Error(`Search failed: ${response.statusText}`);
}

return await response.json();

eventSource.onmessage = (event) => {
  try {
    const data = JSON.parse(event.data);
    onEvent(data);
  } catch (error) {
    console.error('SSE parse error:', error);
  }
};

eventSource.onerror = (error) => {
  console.error('SSE connection error:', error);
};

return eventSource;

</CodeGroup>

### Search Language Model Tool

```typescript
import * as vscode from 'vscode';
import { WorkerClient } from './WorkerClient';

export function registerSearchTool(context: vscode.ExtensionContext) {
  const client = new WorkerClient();

  const searchTool = vscode.lm.registerTool('claude-mem-search', {
    description: 'Search persistent memory for observations, sessions, and prompts',
    inputSchema: {
      type: 'object',
      properties: {
        query: {
          type: 'string',
          description: 'Search query text'
        },
        type: {
          type: 'string',
          enum: ['observations', 'sessions', 'prompts'],
          description: 'Type of results to return'
        },
        limit: {
          type: 'number',
          description: 'Maximum number of results',
          default: 10
        }
      },
      required: ['query']
    },
    invoke: async (options, token) => {
      const { query, type, limit = 10 } = options.input;

      try {
        const results = await client.search({
          query,
          type,
          format: 'index',
          limit
        });

        // Format results for language model
        let formatted = '';

        if (results.observations?.length > 0) {
          formatted += '## Observations\n\n';
          for (const obs of results.observations) {
            formatted += `- **${obs.title}** (${obs.project})\n`;
            formatted += `  ${obs.summary}\n`;
            if (obs.concepts?.length > 0) {
              formatted += `  Concepts: ${obs.concepts.join(', ')}\n`;
            }
            formatted += '\n';
          }
        }

        return new vscode.LanguageModelToolResult([
          new vscode.LanguageModelTextPart(formatted)
        ]);
      } catch (error) {
        return new vscode.LanguageModelToolResult([
          new vscode.LanguageModelTextPart(`Error: ${error.message}`)
        ]);
      }
    }
  });

  context.subscriptions.push(searchTool);
}

const observation = await client.getObservationById(123);
const facts = JSON.parse(observation.facts); // string[] array
const concepts = JSON.parse(observation.concepts); // string[] array

const date = new Date(observation.created_at_epoch); // ✅ Correct
const date = new Date(observation.created_at_epoch * 1000); // ❌ Wrong (already in ms)

const userMessage = '<private>API key: sk-1234567890</private>';
// This observation will be skipped (entire prompt is private)