mengram
Mengram is an AI memory layer that enables agents to remember facts, events, and workflows, with procedures automatically improving from failures. It uniquely stores semantic, episodic, and procedural memory, offering experience-driven evolution for AI agents.
mengram sits in the Memory & Context category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Stores Semantic, Episodic, and Procedural Memory types.. A representative use case is Building intelligent AI agents that learn and adapt from real-world outcomes.. The listed license is Apache-2.0. GitHub stars are currently 204. Relevant tags include AI Agents, Memory Layer.
Features
Why choose it
Trade-offs
Compatibility
Quick start
Use cases
Alternatives
Comments
No comments yet. Be the first!