MCP-enabled AI conversation engine with MCTS analysis, FastAPI backend, and async operations for building advanced LLM applications

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

It is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors, graphs, and temporal search.

Cursor10x is a comprehensive suite of tools that enhances the A.I. agent's capabilities within the Cursor IDE, providing persistent memory across sessions, standardized task management, and enforced best practices through cursor rules.

ATM-Bench: A benchmark for long-term personalized memory QA spanning ~4 years of multimodal data (images, videos, emails). Features referential queries, evidence-grounded answering, and multi-source reasoning. Paper: "According to Me: Long-Term Personalized Referential Memory QA"

Decentralized memory-sharing protocol for AI agent

A-MEM Agentic Memory System - MCP Server for IDE Integration (Cursor, VSCode) | Dual-Storage: ChromaDB + NetworkX DiGraph with explicit typed edges | Based on Zettelkasten

Unified memory for all your A.I. agents. Knowledge graph hybrid retrieval of important context.

PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory

Stop your AI agent from repeating same mistake and learn from previous failures

FalkorDB graph store plugin for Mem0

Local-first context engineering + pre-action gates for AI agents. Captures feedback, prevents repeated mistakes, and physically blocks known failure patterns via PreToolUse hooks. Works with Claude, Codex, Gemini, Amp.

Portable Agent Memory. Connect your AI conversations. Remember everything. Everywhere.

MCP Context Server — a FastMCP-based server providing persistent multimodal context storage for LLM agents.

LangGraph integration with Kusto as the persistent memory layer

FalkorDB Typescript graph store plugin for Mem0

Offline-first cognitive operating system for synthetic intelligence. Features belief ecology, RL-based goal evolution with differential privacy, contradiction tracing, HMAC-signed audit logs, sandboxed execution, and local LLM inference. Designed for air-gapped, adversarial environments.

LangChain memory toolkit powered by https://mem0.ai

Multi-layered AI memory system: 11-stage NLP pipeline, knowledge graph, self-learning EntityRuler (96.9% entity F1 at 4ms). FalkorDB + Redis + spaCy. pip install smartmemory-core

Python client for Kardbrd.com