Mengram offers a sophisticated memory layer for AI agents, going beyond simple fact storage by integrating semantic, episodic, and procedural memory types. Its unique experience-driven evolution mechanism allows agent procedures to automatically improve by learning from past failures, ensuring workflows become more robust over time. Agents can remember facts, events, and complex workflows, while a generated Cognitive Profile provides instant personalization for any LLM, making AI interactions more contextual and intelligent. With free API access and SDKs for Python and JavaScript, it seamlessly integrates with popular AI frameworks like LangChain and CrewAI, empowering developers to build smarter, more adaptive AI applications.
Key Features
01Experience-Driven Procedure Evolution from Failures
02Free API with Python and JavaScript SDKs
03Automated Cognitive Profile Generation for LLMs
04Semantic, Episodic, and Procedural Memory Storage
0525 GitHub stars
06Integrations for LangChain and CrewAI
