Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

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

Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

Memento MCP: A Knowledge Graph Memory System for LLMs

A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Memory management MCP server for AI agents using Neo4j knowledge graphs

44 plug-and-play skills for OpenClaw — self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new behaviors during conversation.

Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cursor, Windsurf, VS Code Copilot. 30 tools, 1121 tests.

Persistent memory system for agentic AI via MCP - remember, recall, forget with semantic search with knowledge graph

An enhanced MCP (Model Context Protocol) server for intelligent memory and task management, designed for AI assistants and development workflows. Features semantic search, automatic task extraction, knowledge graphs, and comprehensive project management.

Temporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.

Persistent memory for AI agents. 107 MCP tools for remember, recall, rollback, audit, knowledge graph, eval, cortex, replay, governed actions, threat intel, auto-defense, Runtime v2 agents/missions, and more. Works locally (zero config) or with Novyx Cloud.

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

MCP Memory Server with Neo4j backend for AI knowledge graph storage

An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.

An MCP server that provides persistent memory capabilities through a local knowledge graph, enabling AI assistants to maintain context across sessions with multiple storage backends.

Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions. Features hybrid search (semantic + BM25), MCP server integration, SQLite persistence with knowledge graph, and proactive memory surfacing. Written in Rust.

A powerful MCP memory using a knowledge graph powered by elastic search

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.

This repo demonstrates Graphiti MCP integration with Cursor and Neo4j, storing AI prompts as real-time knowledge graphs for persistent memory.

Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP.

Interactive visualizer for Anthropic's Memory MCP knowledge graphs. Instantly explore, debug, and analyze entities, relations, and observations from memory.json files in the Model Context Protocol.

A personal knowledge graph and memory system for AI assistants using SQLite with optimized text search. Perfect for giving Claude (or any MCP-compatible AI) persistent memory across conversations!

Persistent memory for AI coding agents. SQLite-backed knowledge graph with MCP server.

A Model Context Protocol (MCP) server that implements a knowledge graph-based memory system with LLM-based entity and relation extraction.

MCP server for enabling memory for Claude through a knowledge graph

🥃 Locally distilled memory for AI agents. 3-tier architecture, auto-compression, knowledge graph. SQLite-based, MCP-compatible.

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

A Cloudflare Container Worker that serves as a proxy for the Graphiti MCP (Model Context Protocol) server, providing scalable, serverless access to AI agent memory capabilities through Neo4j-backed knowledge graphs.