Maximem Synap is an AI memory and context management layer for AI agents, achieving 92% on LongMemEval and 93.2% on LoCoMo. It offers sub-15ms retrieval at P75, native integrations with 23 agent frameworks, and a free tier. Synap ensures agents remember across sessions, resolve entities, and maintain context without token bloat.
Freemium
How to use Maximem Synap?
Integrate Synap into your AI agent project using its Python or TypeScript SDK. Initialize Synap with your API key, and then use its functions to send conversation data and retrieve relevant context for your agent's responses. Synap handles the complexities of memory storage, retrieval, and entity resolution automatically, allowing your agent to access information efficiently.
Maximem Synap 's Core Features
Persistent memory and context management for AI agents
High accuracy on LongMemEval (92%) and LoCoMo (93.2%) benchmarks
Low-latency retrieval (<15ms at P75) for in-conversation context
Native integrations with 23 popular agent frameworks (LangChain, CrewAI, etc.)
Automatic entity resolution and temporal awareness
Scalable architecture for enterprise use with security and compliance features
Free tier available with no credit card required
Maximem Synap 's Use Cases
Customer support agents that remember past interactions
Sales agents that recall client history and preferences
Voice AI assistants with continuous conversational memory
Multi-agent systems that share and manage context effectively
Healthcare agents that maintain patient history across sessions
Personalized workflow acceleration for professional roles
Development of AI agents that learn and adapt over time