claude-flow
Version:
Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration
482 lines • 17.8 kB
JavaScript
/**
* Memory MCP Tools for CLI - V3 with sql.js/HNSW Backend
*
* UPGRADED: Now uses the advanced sql.js + HNSW backend for:
* - 150x-12,500x faster semantic search
* - Vector embeddings with cosine similarity
* - Persistent SQLite storage (WASM)
* - Backward compatible with legacy JSON storage (auto-migrates)
*
* @module v3/cli/mcp-tools/memory-tools
*/
import { existsSync, mkdirSync, readFileSync, unlinkSync, writeFileSync } from 'fs';
import { join, resolve } from 'path';
// Paths
const MEMORY_DIR = '.claude-flow/memory';
const LEGACY_MEMORY_FILE = 'store.json';
const MIGRATION_MARKER = '.migrated-to-sqlite';
function getMemoryDir() {
return resolve(MEMORY_DIR);
}
function getLegacyPath() {
return resolve(join(MEMORY_DIR, LEGACY_MEMORY_FILE));
}
function getMigrationMarkerPath() {
return resolve(join(MEMORY_DIR, MIGRATION_MARKER));
}
function ensureMemoryDir() {
const dir = getMemoryDir();
if (!existsSync(dir)) {
mkdirSync(dir, { recursive: true });
}
}
/**
* Check if legacy JSON store exists and needs migration
*/
function hasLegacyStore() {
const legacyPath = getLegacyPath();
const migrationMarker = getMigrationMarkerPath();
return existsSync(legacyPath) && !existsSync(migrationMarker);
}
/**
* Load legacy JSON store for migration
*/
function loadLegacyStore() {
try {
const path = getLegacyPath();
if (existsSync(path)) {
const data = readFileSync(path, 'utf-8');
return JSON.parse(data);
}
}
catch {
// Return null on error
}
return null;
}
/**
* Mark migration as complete
*/
function markMigrationComplete() {
ensureMemoryDir();
writeFileSync(getMigrationMarkerPath(), JSON.stringify({
migratedAt: new Date().toISOString(),
version: '3.0.0',
}), 'utf-8');
}
/**
* Lazy-load memory initializer functions to avoid circular deps
*/
async function getMemoryFunctions() {
const { storeEntry, searchEntries, listEntries, getEntry, deleteEntry, initializeMemoryDatabase, checkMemoryInitialization, } = await import('../memory/memory-initializer.js');
return {
storeEntry,
searchEntries,
listEntries,
getEntry,
deleteEntry,
initializeMemoryDatabase,
checkMemoryInitialization,
};
}
/**
* Ensure memory database is initialized and migrate legacy data if needed
*/
async function ensureInitialized() {
const { initializeMemoryDatabase, checkMemoryInitialization, storeEntry } = await getMemoryFunctions();
// Check if already initialized
const status = await checkMemoryInitialization();
if (!status.initialized) {
await initializeMemoryDatabase({ force: false, verbose: false });
}
// Migrate legacy JSON data if exists
if (hasLegacyStore()) {
const legacyStore = loadLegacyStore();
if (legacyStore && Object.keys(legacyStore.entries).length > 0) {
console.error('[MCP Memory] Migrating legacy JSON store to sql.js...');
let migrated = 0;
for (const [key, entry] of Object.entries(legacyStore.entries)) {
try {
// Convert value to string for storage
const value = typeof entry.value === 'string' ? entry.value : JSON.stringify(entry.value);
await storeEntry({
key,
value,
namespace: 'default',
generateEmbeddingFlag: true,
});
migrated++;
}
catch (e) {
console.error(`[MCP Memory] Failed to migrate key "${key}":`, e);
}
}
console.error(`[MCP Memory] Migrated ${migrated}/${Object.keys(legacyStore.entries).length} entries`);
markMigrationComplete();
}
}
}
export const memoryTools = [
{
name: 'memory_store',
description: 'Store a value in memory with vector embedding for semantic search (sql.js + HNSW backend). Use upsert=true to update existing keys.',
category: 'memory',
inputSchema: {
type: 'object',
properties: {
key: { type: 'string', description: 'Memory key (unique within namespace)' },
value: { description: 'Value to store (string or object)' },
namespace: { type: 'string', description: 'Namespace for organization (default: "default")' },
tags: {
type: 'array',
items: { type: 'string' },
description: 'Optional tags for filtering',
},
ttl: { type: 'number', description: 'Time-to-live in seconds (optional)' },
upsert: { type: 'boolean', description: 'If true, update existing key instead of failing (default: false)' },
},
required: ['key', 'value'],
},
handler: async (input) => {
await ensureInitialized();
const { storeEntry } = await getMemoryFunctions();
const key = input.key;
const namespace = input.namespace || 'default';
const value = typeof input.value === 'string' ? input.value : JSON.stringify(input.value);
const tags = input.tags || [];
const ttl = input.ttl;
const upsert = input.upsert || false;
const startTime = performance.now();
try {
const result = await storeEntry({
key,
value,
namespace,
generateEmbeddingFlag: true,
tags,
ttl,
upsert,
});
const duration = performance.now() - startTime;
return {
success: result.success,
key,
namespace,
stored: result.success,
storedAt: new Date().toISOString(),
hasEmbedding: !!result.embedding,
embeddingDimensions: result.embedding?.dimensions || null,
backend: 'sql.js + HNSW',
storeTime: `${duration.toFixed(2)}ms`,
error: result.error,
};
}
catch (error) {
return {
success: false,
key,
error: error instanceof Error ? error.message : 'Unknown error',
};
}
},
},
{
name: 'memory_retrieve',
description: 'Retrieve a value from memory by key',
category: 'memory',
inputSchema: {
type: 'object',
properties: {
key: { type: 'string', description: 'Memory key' },
namespace: { type: 'string', description: 'Namespace (default: "default")' },
},
required: ['key'],
},
handler: async (input) => {
await ensureInitialized();
const { getEntry } = await getMemoryFunctions();
const key = input.key;
const namespace = input.namespace || 'default';
try {
const result = await getEntry({ key, namespace });
if (result.found && result.entry) {
// Try to parse JSON value
let value = result.entry.content;
try {
value = JSON.parse(result.entry.content);
}
catch {
// Keep as string
}
return {
key,
namespace,
value,
tags: result.entry.tags,
storedAt: result.entry.createdAt,
updatedAt: result.entry.updatedAt,
accessCount: result.entry.accessCount,
hasEmbedding: result.entry.hasEmbedding,
found: true,
backend: 'sql.js + HNSW',
};
}
return {
key,
namespace,
value: null,
found: false,
};
}
catch (error) {
return {
key,
namespace,
value: null,
found: false,
error: error instanceof Error ? error.message : 'Unknown error',
};
}
},
},
{
name: 'memory_search',
description: 'Semantic vector search using HNSW index (150x-12,500x faster than keyword search)',
category: 'memory',
inputSchema: {
type: 'object',
properties: {
query: { type: 'string', description: 'Search query (semantic similarity)' },
namespace: { type: 'string', description: 'Namespace to search (default: "default")' },
limit: { type: 'number', description: 'Maximum results (default: 10)' },
threshold: { type: 'number', description: 'Minimum similarity threshold 0-1 (default: 0.3)' },
},
required: ['query'],
},
handler: async (input) => {
await ensureInitialized();
const { searchEntries } = await getMemoryFunctions();
const query = input.query;
const namespace = input.namespace || 'default';
const limit = input.limit || 10;
const threshold = input.threshold || 0.3;
const startTime = performance.now();
try {
const result = await searchEntries({
query,
namespace,
limit,
threshold,
});
const duration = performance.now() - startTime;
// Parse JSON values in results
const results = result.results.map(r => {
let value = r.content;
try {
value = JSON.parse(r.content);
}
catch {
// Keep as string
}
return {
key: r.key,
namespace: r.namespace,
value,
similarity: r.score,
};
});
return {
query,
results,
total: results.length,
searchTime: `${duration.toFixed(2)}ms`,
backend: 'HNSW + sql.js',
};
}
catch (error) {
return {
query,
results: [],
total: 0,
error: error instanceof Error ? error.message : 'Unknown error',
};
}
},
},
{
name: 'memory_delete',
description: 'Delete a memory entry by key',
category: 'memory',
inputSchema: {
type: 'object',
properties: {
key: { type: 'string', description: 'Memory key' },
namespace: { type: 'string', description: 'Namespace (default: "default")' },
},
required: ['key'],
},
handler: async (input) => {
await ensureInitialized();
const { deleteEntry } = await getMemoryFunctions();
const key = input.key;
const namespace = input.namespace || 'default';
try {
const result = await deleteEntry({ key, namespace });
return {
success: result.deleted,
key,
namespace,
deleted: result.deleted,
backend: 'sql.js + HNSW',
};
}
catch (error) {
return {
success: false,
key,
namespace,
deleted: false,
error: error instanceof Error ? error.message : 'Unknown error',
};
}
},
},
{
name: 'memory_list',
description: 'List memory entries with optional filtering',
category: 'memory',
inputSchema: {
type: 'object',
properties: {
namespace: { type: 'string', description: 'Filter by namespace' },
limit: { type: 'number', description: 'Maximum results (default: 50)' },
offset: { type: 'number', description: 'Offset for pagination (default: 0)' },
},
},
handler: async (input) => {
await ensureInitialized();
const { listEntries } = await getMemoryFunctions();
const namespace = input.namespace;
const limit = input.limit || 50;
const offset = input.offset || 0;
try {
const result = await listEntries({
namespace,
limit,
offset,
});
const entries = result.entries.map(e => ({
key: e.key,
namespace: e.namespace,
storedAt: e.createdAt,
updatedAt: e.updatedAt,
accessCount: e.accessCount,
hasEmbedding: e.hasEmbedding,
size: e.size,
}));
return {
entries,
total: result.total,
limit,
offset,
backend: 'sql.js + HNSW',
};
}
catch (error) {
return {
entries: [],
total: 0,
limit,
offset,
error: error instanceof Error ? error.message : 'Unknown error',
};
}
},
},
{
name: 'memory_stats',
description: 'Get memory storage statistics including HNSW index status',
category: 'memory',
inputSchema: {
type: 'object',
properties: {},
},
handler: async () => {
await ensureInitialized();
const { checkMemoryInitialization, listEntries } = await getMemoryFunctions();
try {
const status = await checkMemoryInitialization();
const allEntries = await listEntries({ limit: 100000 });
// Count by namespace
const namespaces = {};
let withEmbeddings = 0;
for (const entry of allEntries.entries) {
namespaces[entry.namespace] = (namespaces[entry.namespace] || 0) + 1;
if (entry.hasEmbedding)
withEmbeddings++;
}
return {
initialized: status.initialized,
totalEntries: allEntries.total,
entriesWithEmbeddings: withEmbeddings,
embeddingCoverage: allEntries.total > 0
? `${((withEmbeddings / allEntries.total) * 100).toFixed(1)}%`
: '0%',
namespaces,
backend: 'sql.js + HNSW',
version: status.version || '3.0.0',
features: status.features || {
vectorEmbeddings: true,
hnswIndex: true,
semanticSearch: true,
},
};
}
catch (error) {
return {
initialized: false,
error: error instanceof Error ? error.message : 'Unknown error',
};
}
},
},
{
name: 'memory_migrate',
description: 'Manually trigger migration from legacy JSON store to sql.js',
category: 'memory',
inputSchema: {
type: 'object',
properties: {
force: { type: 'boolean', description: 'Force re-migration even if already done' },
},
},
handler: async (input) => {
const force = input.force;
// Remove migration marker if forcing
if (force) {
const markerPath = getMigrationMarkerPath();
if (existsSync(markerPath)) {
unlinkSync(markerPath);
}
}
// Check for legacy data
const legacyStore = loadLegacyStore();
if (!legacyStore || Object.keys(legacyStore.entries).length === 0) {
return {
success: true,
message: 'No legacy data to migrate',
migrated: 0,
};
}
// Run migration via ensureInitialized
await ensureInitialized();
return {
success: true,
message: 'Migration completed',
migrated: Object.keys(legacyStore.entries).length,
backend: 'sql.js + HNSW',
};
},
},
];
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