MIE

About

MIE, the Memory Intelligence Engine, solves the critical problem of amnesiac AI agents by providing a centralized, persistent knowledge graph. Instead of repeatedly explaining your context to different AI tools like Claude, ChatGPT, and Cursor, MIE allows all your agents to read from and write to a single source of truth. It stores structured knowledge—facts, decisions, entities, and events—with relationships, ensuring that your architectural choices, project details, and evolving context are always available. This eliminates the need for constant re-explanation and enables seamless continuity across all your AI-powered workflows.

Key Features

• 4 GitHub stars
• Shared, persistent knowledge graph accessible by any AI agent or MCP client.
• Agent-as-evaluator architecture, leveraging the agent's LLM for classification with zero server-side inference cost.
• Structured storage for facts, decisions, entities, events, and topics with typed relationships.
• Capabilities for semantic search, graph traversal, and conflict detection.
• Historical context preservation through invalidation chains, showing how knowledge evolved over time.

Use Cases

• Maintaining persistent architectural decisions and their rationale across multiple AI development sessions and tools.
• Providing a shared memory of project specifics, team structures, and events for all AI agents working on a project.
• Integrating with Code Intelligence Engines (CIE) to combine deep code understanding with project and decision memory.