Knowledge Engine for AI Agent Memory in 6 lines of code
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Updated
Apr 5, 2026 - Python
Knowledge Engine for AI Agent Memory in 6 lines of code
Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.
AI assistant for Home Assistant with cognitive memory. Supports Anthropic, OpenAI, and Ollama (local inference). Adds learning, persistent memory, and voice control to your smart home.
CogmemAi — Cognitive Memory for Any Ai System. Autonomous robots, self-driving vehicles, defense systems, coding assistants, and more. 91% LoCoMo benchmark — above human performance.
Multi-agent orchestration with self-evolution, cognitive memory, and governance.
Mesh Memory Protocol (MMP) — A Mesh Protocol for Collective Intelligence
MnemoCore v2.0.0-beta Latest
Cognitive architecture for LLM chatbots with 4 memory systems and a consolidation process - semantic RAG, episodic recall, procedural rules, working memory, and periodic consolidation. Produces personalized responses from past conversations, learned behaviors, and document knowledge.
Autonomous AI agent with persistent cognitive memory, multi-model routing, budget tracking, self-evolution, and multi-channel communication. Built with AI SDK v6 and TypeScript.
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