maximem-ai/maximem_synap_sdk
🏗️ Frameworkmaximem-ai
A universal memory layer enabling AI agents to retain long-term context across major frameworks.
Maximem Synap SDK serves as the critical memory infrastructure for modern AI agents, solving the 'amnesia' problem inherent in stateless LLM interactions. By acting as a specialized memory layer, it allows agents to store, retrieve, and synthesize information over extended periods. Technically, the SDK is optimized for high-fidelity recall, evidenced by its impressive 92% LongMemEval and 93.2% LOCOMO benchmark scores.
Key features include a framework-agnostic architecture that plugs directly into popular ecosystems like LangChain, LlamaIndex, CrewAI, Google ADK, AutoGen, OpenAI Agents, Semantic Kernel, Haystack, and Pydantic AI. This interoperability allows developers to implement sophisticated memory management without rewriting their existing agent logic. Whether handling complex multi-agent orchestration or long-running conversational threads, Maximem Synap ensures that agents maintain context, improve user personalization, and reduce hallucinations caused by missing historical data. It is a Python-native solution designed for rapid deployment in production-grade AI applications.
💡Highlights
- ├─92% score on LongMemEval
- ├─Native support for 9+ frameworks
- └─Persistent context for AI agents
🎯For
- ├─AI Engineers
- └─Agent Developers