Knowledge Engine for AI Agent Memory in 6 lines of code
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Updated
Mar 3, 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.
Persistent cloud memory for Ai coding assistants — encrypted at rest. 28 MCP tools: semantic search, auto-learning, task tracking, correction patterns, knowledge graphs, and session replay. Works with Claude Code, Cursor, Windsurf, Cline, and any MCP client.
Production-tested multi-agent orchestration with self-evolution, cognitive memory v9 (trust scoring, quarantine, dream consolidation), governance-first architecture, and native sub-agent gateway. 11 agents, 30 skills, 44+ scripts.
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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