Hook Lifecycle

Claude-Mem implements a 5-stage hook system that captures development work across Claude Code sessions. This document provides a complete technical reference for developers implementing this pattern on other platforms.

Architecture Overview

System Architecture

This two-process architecture works in both Claude Code and VS Code: Key Principles:

Extension process never blocks (fire-and-forget HTTP)
Worker processes observations asynchronously
Session state persists across IDE restarts

VS Code Extension API Integration Points

For developers porting to VS Code, here’s where to hook into the VS Code Extension API: Implementation Examples:

// VS Code Extension - SessionStart Hook
export async function activate(context: vscode.ExtensionContext) {
  const sessionId = generateSessionId()
  const project = workspace.name || 'default'

  // Fetch context from worker
  const response = await fetch(`http://localhost:37777/api/context/inject?project=${project}`)
  const context = await response.text()

  // Inject into chat or UI panel
  injectContextToChat(context)
}

// VS Code Extension - UserPromptSubmit Hook
const command = vscode.commands.registerCommand('extension.command', async (prompt) => {
  await fetch('http://localhost:37777/sessions/init', {
    method: 'POST',
    body: JSON.stringify({ sessionId, project, userPrompt: prompt })
  })
})

// VS Code Extension - PostToolUse Hook (middleware pattern)
workspace.onDidSaveTextDocument(async (document) => {
  await fetch('http://localhost:37777/api/sessions/observations', {
    method: 'POST',
    body: JSON.stringify({
      claudeSessionId: sessionId,
      tool_name: 'FileSave',
      tool_input: { path: document.uri.path },
      tool_response: 'File saved successfully'
    })
  })
})

Async Processing Pipeline

How observations flow from extension to database without blocking the IDE: Critical Pattern: The extension’s HTTP call has a 2-second timeout and doesn’t wait for AI processing. The worker handles compression asynchronously using an event-driven queue.

The 5 Lifecycle Stages

Stage	Hook	Trigger	Purpose
1. SessionStart	`context-hook.js` + `user-message-hook.js`	User opens Claude Code	Inject prior context, show UI messages
2. UserPromptSubmit	`new-hook.js`	User submits a prompt	Create/get session, save prompt, init worker
3. PostToolUse	`save-hook.js`	Claude uses any tool	Queue observation for AI compression
4. Stop	`summary-hook.js`	User stops asking questions	Generate session summary
5. SessionEnd	`cleanup-hook.js`	Session closes	Mark session completed

Hook Configuration

Hooks are configured in plugin/hooks/hooks.json:

{
  "hooks": {
    "SessionStart": [{
      "matcher": "startup|clear|compact",
      "hooks": [{
        "type": "command",
        "command": "node ${CLAUDE_PLUGIN_ROOT}/scripts/context-hook.js",
        "timeout": 300
      }, {
        "type": "command",
        "command": "node ${CLAUDE_PLUGIN_ROOT}/scripts/user-message-hook.js",
        "timeout": 10
      }]
    }],
    "UserPromptSubmit": [{
      "hooks": [{
        "type": "command",
        "command": "node ${CLAUDE_PLUGIN_ROOT}/scripts/new-hook.js",
        "timeout": 120
      }]
    }],
    "PostToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "node ${CLAUDE_PLUGIN_ROOT}/scripts/save-hook.js",
        "timeout": 120
      }]
    }],
    "Stop": [{
      "hooks": [{
        "type": "command",
        "command": "node ${CLAUDE_PLUGIN_ROOT}/scripts/summary-hook.js",
        "timeout": 120
      }]
    }],
    "SessionEnd": [{
      "hooks": [{
        "type": "command",
        "command": "node ${CLAUDE_PLUGIN_ROOT}/scripts/cleanup-hook.js",
        "timeout": 120
      }]
    }]
  }
}

Stage 1: SessionStart

Timing: When user opens Claude Code or resumes session Hooks Triggered (in order):

context-hook.js - Fetches and injects prior session context
user-message-hook.js - Displays context info to user via stderr

Sequence Diagram

Context Hook (`context-hook.js`)

Purpose: Inject context from previous sessions into Claude’s initial context. Input (via stdin):

{
  "session_id": "claude-session-123",
  "cwd": "/path/to/project",
  "source": "startup"
}

Processing:

Wait for worker to be available (health check, max 10 seconds)
Call: GET http://127.0.0.1:37777/api/context/inject?project={project}
Return formatted context as additionalContext in hookSpecificOutput

Output (via stdout):

{
  "hookSpecificOutput": {
    "hookEventName": "SessionStart",
    "additionalContext": "<<formatted context markdown>>"
  }
}

Implementation: src/hooks/context-hook.ts

User Message Hook (`user-message-hook.js`)

Purpose: Display helpful user messages during first-time setup or when viewing context. Behavior:

Shows first-time setup message when node_modules is missing
Displays formatted context information with colors
Provides tips for using claude-mem effectively
Shows link to viewer UI (http://localhost:37777)
Uses stderr as communication channel (only output available in Claude Code UI)

Implementation: src/hooks/user-message-hook.ts

Stage 2: UserPromptSubmit

Timing: When user submits any prompt in a session Hook: new-hook.js

Sequence Diagram

Key Pattern: The INSERT OR IGNORE ensures the same session_id always maps to the same sessionDbId, enabling conversation continuations. Input (via stdin):

{
  "session_id": "claude-session-123",
  "cwd": "/path/to/project",
  "prompt": "User's actual prompt text"
}

Processing Steps:

// 1. Extract project name from working directory
project = path.basename(cwd)

// 2. Create or get database session (IDEMPOTENT)
sessionDbId = db.createSDKSession(session_id, project, prompt)
// INSERT OR IGNORE: Creates new row if first prompt, returns existing if continuation

// 3. Increment prompt counter
promptNumber = db.incrementPromptCounter(sessionDbId)
// Returns 1 for first prompt, 2 for continuation, etc.

// 4. Strip privacy tags
cleanedPrompt = stripMemoryTagsFromPrompt(prompt)
// Removes <private>...</private> and <claude-mem-context>...</claude-mem-context>

// 5. Skip if fully private
if (!cleanedPrompt || cleanedPrompt.trim() === '') {
  return  // Don't save, don't call worker
}

// 6. Save user prompt to database
db.saveUserPrompt(session_id, promptNumber, cleanedPrompt)

// 7. Initialize session via worker HTTP
POST http://127.0.0.1:37777/sessions/{sessionDbId}/init
Body: { project, userPrompt, promptNumber }

Output:

{ "continue": true, "suppressOutput": true }

Implementation: src/hooks/new-hook.ts

The same session_id flows through ALL hooks in a conversation. The createSDKSession call is idempotent - it returns the existing session for continuation prompts.

Stage 3: PostToolUse

Timing: After Claude uses any tool (Read, Bash, Grep, Write, etc.) Hook: save-hook.js

Sequence Diagram

Key Pattern: The hook returns immediately after HTTP POST. AI compression happens asynchronously in the worker without blocking Claude’s tool execution. Input (via stdin):

{
  "session_id": "claude-session-123",
  "cwd": "/path/to/project",
  "tool_name": "Read",
  "tool_input": { "file_path": "/src/index.ts" },
  "tool_response": "file contents..."
}

Processing Steps:

// 1. Check blocklist - skip low-value tools
const SKIP_TOOLS = {
  'ListMcpResourcesTool',  // MCP infrastructure noise
  'SlashCommand',          // Command invocation
  'Skill',                 // Skill invocation
  'TodoWrite',             // Task management meta-tool
  'AskUserQuestion'        // User interaction
}

if (SKIP_TOOLS[tool_name]) return

// 2. Ensure worker is running
await ensureWorkerRunning()

// 3. Send to worker (fire-and-forget HTTP)
POST http://127.0.0.1:37777/api/sessions/observations
Body: {
  claudeSessionId: session_id,
  tool_name,
  tool_input,
  tool_response,
  cwd
}
Timeout: 2000ms

Worker Processing:

Looks up or creates session: createSDKSession(claudeSessionId, '', '')
Gets prompt counter
Checks privacy (skips if user prompt was entirely private)
Strips memory tags from tool_input and tool_response
Queues observation for SDK agent processing
SDK agent calls Claude to compress into structured observation
Stores observation in database and syncs to Chroma

Output:

{ "continue": true, "suppressOutput": true }

Implementation: src/hooks/save-hook.ts

Stage 4: Stop

Timing: When user stops or pauses asking questions Hook: summary-hook.js

Sequence Diagram

Key Pattern: The summary is generated asynchronously and doesn’t block the user from resuming work or closing the session. Input (via stdin):

{
  "session_id": "claude-session-123",
  "cwd": "/path/to/project",
  "transcript_path": "/path/to/transcript.jsonl"
}

Processing Steps:

// 1. Extract last messages from transcript JSONL
const lines = fs.readFileSync(transcript_path, 'utf-8').split('\n')
// Find last user message (type: "user")
// Find last assistant message (type: "assistant", filter <system-reminder> tags)

// 2. Ensure worker is running
await ensureWorkerRunning()

// 3. Send summarization request (fire-and-forget HTTP)
POST http://127.0.0.1:37777/api/sessions/summarize
Body: {
  claudeSessionId: session_id,
  last_user_message: string,
  last_assistant_message: string
}
Timeout: 2000ms

// 4. Stop processing spinner
POST http://127.0.0.1:37777/api/processing
Body: { isProcessing: false }

Worker Processing:

Queues summarization for SDK agent
Agent calls Claude to generate structured summary
Summary stored in database with fields: request, investigated, learned, completed, next_steps

Output:

{ "continue": true, "suppressOutput": true }

Implementation: src/hooks/summary-hook.ts

Stage 5: SessionEnd

Timing: When Claude Code session closes (exit, clear, logout, etc.) Hook: cleanup-hook.js

Sequence Diagram

Key Pattern: Session completion is tracked for analytics and UI updates, but doesn’t prevent the user from closing the IDE. Input (via stdin):

{
  "session_id": "claude-session-123",
  "cwd": "/path/to/project",
  "transcript_path": "/path/to/transcript.jsonl",
  "reason": "exit"
}

Processing Steps:

// Send session complete (fire-and-forget HTTP)
POST http://127.0.0.1:37777/api/sessions/complete
Body: {
  claudeSessionId: session_id,
  reason: string  // 'exit' | 'clear' | 'logout' | 'prompt_input_exit' | 'other'
}
Timeout: 2000ms

Worker Processing:

Finds session by claudeSessionId
Marks session as ‘completed’ in database
Broadcasts session completion event to SSE clients

Output:

{ "continue": true, "suppressOutput": true }

Implementation: src/hooks/cleanup-hook.ts

Session State Machine

Understanding session lifecycle and state transitions: Key Insights:

session_id never changes during a conversation
sessionDbId is the database primary key for the session
promptNumber increments with each user prompt
State transitions are non-blocking (fire-and-forget pattern)

Database Schema

The session-centric data model that enables cross-session memory: Idempotency Pattern:

-- This ensures same session_id always maps to same sessionDbId
INSERT OR IGNORE INTO sdk_sessions (claude_session_id, project, first_user_prompt)
VALUES (?, ?, ?)
RETURNING id;

-- If already exists, returns existing row
-- If new, creates and returns new row

Foreign Key Cascade: All child tables (user_prompts, observations, session_summaries) use session_id foreign key referencing SDK_SESSIONS.id. This ensures:

All data for a session is queryable by sessionDbId
Session deletions cascade to child tables
Efficient joins for context injection

Never generate your own session IDs. Always use the session_id provided by the IDE - this is the source of truth for linking all data together.

Privacy & Tag Stripping

Dual-Tag System

// User-Level Privacy Control (manual)
<private>sensitive data</private>

// System-Level Recursion Prevention (auto-injected)
<claude-mem-context>...</claude-mem-context>

Processing Pipeline

Location: src/utils/tag-stripping.ts

// Called by: new-hook.js (user prompts)
stripMemoryTagsFromPrompt(prompt: string): string

// Called by: save-hook.js (tool_input, tool_response)
stripMemoryTagsFromJson(jsonString: string): string

Execution Order (Edge Processing):

new-hook.js strips tags from user prompt before saving
save-hook.js strips tags from tool data before sending to worker
Worker strips tags again (defense in depth) before storing

SDK Agent Processing

Query Loop (Event-Driven)

Location: src/services/worker/SDKAgent.ts

async startSession(session: ActiveSession, worker?: any) {
  // 1. Create event-driven message generator
  const messageGenerator = this.createMessageGenerator(session)

  // 2. Run Agent SDK query loop
  const queryResult = query({
    prompt: messageGenerator,
    options: {
      model: 'claude-sonnet-4-5',
      disallowedTools: ['Bash', 'Read', 'Write', ...],  // Observer-only
      abortController: session.abortController
    }
  })

  // 3. Process responses
  for await (const message of queryResult) {
    if (message.type === 'assistant') {
      await this.processSDKResponse(session, text, worker)
    }
  }
}

Message Types

The message generator yields three types of prompts:

Initial Prompt (prompt #1): Full instructions for starting observation
Continuation Prompt (prompt #2+): Context-only for continuing work
Observation Prompts: Tool use data to compress into observations
Summary Prompts: Session data to summarize

Implementation Checklist

For developers implementing this pattern on other platforms:

Hook Registration

Define hook entry points in platform config
5 hook types: SessionStart (2 hooks), UserPromptSubmit, PostToolUse, Stop, SessionEnd
Pass session_id, cwd, and context-specific data

Database Schema

SQLite with WAL mode
4 main tables: sdk_sessions, user_prompts, observations, session_summaries
Indices for common queries

Worker Service

HTTP server on configurable port (default 37777)
Bun runtime for process management
3 core services: SessionManager, SDKAgent, DatabaseManager

Hook Implementation

context-hook: GET /api/context/inject (with health check)
new-hook: createSDKSession, saveUserPrompt, POST /sessions/{id}/init
save-hook: Skip low-value tools, POST /api/sessions/observations
summary-hook: Parse transcript, POST /api/sessions/summarize
cleanup-hook: POST /api/sessions/complete

Privacy & Tags

Implement stripMemoryTagsFromPrompt() and stripMemoryTagsFromJson()
Process tags at hook layer (edge processing)
Max tag count = 100 (ReDoS protection)

SDK Integration

Call Claude Agent SDK to process observations/summaries
Parse XML responses for structured data
Store to database + sync to vector DB

Key Design Principles

Session ID is Source of Truth: Never generate your own session IDs
Idempotent Database Operations: Use INSERT OR IGNORE for session creation
Edge Processing for Privacy: Strip tags at hook layer before data reaches worker
Fire-and-Forget for Non-Blocking: HTTP timeouts prevent IDE blocking
Event-Driven, Not Polling: Zero-latency queue notification to SDK agent
Everything Saves Always: No “orphaned” sessions

Common Pitfalls

Problem	Root Cause	Solution
Session ID mismatch	Different `session_id` used in different hooks	Always use ID from hook input
Duplicate sessions	Creating new session instead of using existing	Use `INSERT OR IGNORE` with `session_id` as key
Blocking IDE	Waiting for full response	Use fire-and-forget with short timeouts
Memory tags in DB	Stripping tags in wrong layer	Strip at hook layer, before HTTP send
Worker not found	Health check too fast	Add retry loop with exponential backoff

Worker Service - HTTP API and async processing
Database Schema - SQLite tables and FTS5 search
Privacy Tags - Using <private> tags
Troubleshooting - Common hook issues

Get Started

Cursor Integration

Best Practices

Configuration & Development

Architecture

​Hook Lifecycle

​Architecture Overview

​System Architecture

​VS Code Extension API Integration Points

​Async Processing Pipeline

​The 5 Lifecycle Stages

​Hook Configuration

​Stage 1: SessionStart

​Sequence Diagram

​Context Hook (context-hook.js)

​User Message Hook (user-message-hook.js)

​Stage 2: UserPromptSubmit

​Sequence Diagram

​Stage 3: PostToolUse

​Sequence Diagram

​Stage 4: Stop

​Sequence Diagram

​Stage 5: SessionEnd

​Sequence Diagram

​Session State Machine

​Database Schema

​Privacy & Tag Stripping

​Dual-Tag System

​Processing Pipeline

​SDK Agent Processing

​Query Loop (Event-Driven)

​Message Types

​Implementation Checklist

​Hook Registration

​Database Schema

​Worker Service

​Hook Implementation

​Privacy & Tags

​SDK Integration

​Key Design Principles

​Common Pitfalls

​Related Documentation

Hook Lifecycle

Architecture Overview

System Architecture

VS Code Extension API Integration Points

Async Processing Pipeline

The 5 Lifecycle Stages

Hook Configuration

Stage 1: SessionStart

Sequence Diagram

Context Hook (`context-hook.js`)

User Message Hook (`user-message-hook.js`)

Stage 2: UserPromptSubmit

Sequence Diagram

Stage 3: PostToolUse

Sequence Diagram

Stage 4: Stop

Sequence Diagram

Stage 5: SessionEnd

Sequence Diagram

Session State Machine

Database Schema

Privacy & Tag Stripping

Dual-Tag System

Processing Pipeline

SDK Agent Processing

Query Loop (Event-Driven)

Message Types

Implementation Checklist

Hook Registration

Database Schema

Worker Service

Hook Implementation

Privacy & Tags

SDK Integration

Key Design Principles

Common Pitfalls

Related Documentation