knowall-ai/mcp-reverie

A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Self-hosted AI agent memory — MCP memory server with durable recall for agents

A graph DB-based MCP memory server for coding agents with intelligent relationship tracking

MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development

A local-first AI memory system with hybrid search, MCP integration, and a knowledge graph.

NeuralMemory stores experiences as interconnected neurons and recalls them through spreading activation, mimicking how the human brain works. Instead of searching a database, memories are retrieved through associative recall - activating related concepts until the relevant memory emerges.

MemoryBear Equip AI with human-like memory capability