Developer Friendly
Provides a simple Python SDK, automatically loads configuration from .env files, enabling developers to quickly integrate into existing projects. Also supports MCP Server and HTTP API Server integration methods
Build Persistent Memory for AI Applications
Get started in minutes, scale to millions
Pythonpowermem.py
1from powermem import Memory, auto_config23# Auto-load from .env4config = auto_config()5memory = Memory(config=config)67# Add memory8memory.add("User likes coffee", user_id="user123")910# Search memories11memories = memory.search("user preferences", user_id="user123")
Core Features
Complete intelligent memory management solution for AI applications
Intelligent Memory Management
Automatically extracts key facts from conversations through LLM, intelligently detects duplicates, updates conflicting information, and merges related memories. Based on cognitive science, implements time-decay weighting to prioritize recent and relevant memories.
Multi-Agent Support
Provides independent memory spaces for each agent, supports cross-agent memory sharing and collaboration, and enables flexible permission management through scope control.
Multimodal Support
Automatically converts images and audio to text descriptions for storage, supports retrieval of multimodal mixed content (text + image + audio), enabling AI systems to understand richer contextual information
Deeply Optimized Data Storage
Implements data partition management through sub stores with automatic query routing. Combines multi-channel recall capabilities of vector retrieval, full-text search, and graph retrieval for precise retrieval of complex memory relationships.
Why Choose PowerMem?
Accurate, Agile, Affordable - The best AI memory management experience
Real-world performance metrics based on LOCOMO dataset
View Full Benchmark Results →