Maximem Synap
AIMaximem Synap is an agentic context management platform that gives AI agents persistent, scoped memory with sub-15ms retrieval.
Maximem Synap
Maximem Synap is an agentic context management platform that gives AI agents persistent, scoped memory with sub-15ms retrieval.
About Maximem Synap
Maximem Synap is a memory and context-management layer for AI agents. Developers stream conversation turns to Synap with an asynchronous write call and, before the agent replies, fetch a short ranked set of relevant facts already formatted for the prompt. Behind those two calls Synap runs an ingestion pipeline that extracts structured memories, resolves entities (e.g. "Sarah", "Sarah Chen" and "SC" become one person), stores them across vector, graph and file stores, and consolidates them in background cycles. Memory is organized into organizational, long-term per-user and short-term session layers with customer and client scoping, and a custom context architecture is generated per agent. Synap reports 92% on LongMemEval and 93.2% on LoCoMo with under 15ms P75 in-conversation retrieval, and ships Python/TypeScript SDKs, a REST API, a hosted MCP endpoint and native adapters for 23 agent frameworks.
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Use Cases
Frequently asked questions about Maximem Synap
What is Maximem Synap?
Maximem Synap is an agentic context management platform that gives AI agents persistent, scoped memory with sub-15ms retrieval.
How does Maximem Synap work?
Maximem Synap works by combining Two-Call Memory API: Record messages asynchronously and fetch ranked, prompt-ready context before each reply — writes never block the agent., Three-Layer Memory Model: Separate organizational, long-term per-user and short-term session memory with customer and client scoping for multi-tenant isolation., Entity Resolution & Structured Extraction: Converts raw dialogue into structured facts and merges aliases of the same person or company automatically., Anticipatory Retrieval: Pre-fetches context during the conversation for under 15ms P75 retrieval, fast enough for voice agents., Agentic Compaction & Consolidation: Background cycles compact and consciously forget stale information to keep context lean and cut token costs. to help users with Personalized Support Agents: Customer service bots remember prior issues and preferences across sessions instead of re-asking users., Voice Agents: Real-time voice assistants pull user context in milliseconds without conversational pauses., Multi-Tenant SaaS Assistants: B2B products keep each customer's memory isolated while sharing organization-wide policies and product facts., Token Cost Reduction: Teams replace full-history prompt stuffing with compact ranked context to lower LLM spend., Long-Running Copilots: Coding or productivity assistants recall what a user worked on days or weeks earlier..
What are the main features of Maximem Synap?
Key features include Two-Call Memory API: Record messages asynchronously and fetch ranked, prompt-ready context before each reply — writes never block the agent., Three-Layer Memory Model: Separate organizational, long-term per-user and short-term session memory with customer and client scoping for multi-tenant isolation., Entity Resolution & Structured Extraction: Converts raw dialogue into structured facts and merges aliases of the same person or company automatically., Anticipatory Retrieval: Pre-fetches context during the conversation for under 15ms P75 retrieval, fast enough for voice agents., Agentic Compaction & Consolidation: Background cycles compact and consciously forget stale information to keep context lean and cut token costs..
Who is Maximem Synap for?
Maximem Synap is useful for anyone interested in Personalized Support Agents: Customer service bots remember prior issues and preferences across sessions instead of re-asking users., Voice Agents: Real-time voice assistants pull user context in milliseconds without conversational pauses., Multi-Tenant SaaS Assistants: B2B products keep each customer's memory isolated while sharing organization-wide policies and product facts., Token Cost Reduction: Teams replace full-history prompt stuffing with compact ranked context to lower LLM spend., Long-Running Copilots: Coding or productivity assistants recall what a user worked on days or weeks earlier..
How much does Maximem Synap cost?
Maximem Synap offers a free tier with paid plans for advanced features.
How do I get started with Maximem Synap?
Visit https://maximem.ai/synap/ to sign up and explore Maximem Synap.
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