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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"
PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
Decentralized memory-sharing protocol for AI agent
Embedded database for agentic memory — relational, graph, and vector under unified MVCC transactions
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.
Stop your AI agent from repeating same mistake and learn from previous failures
MCP Context Server — a FastMCP-based server providing persistent multimodal context storage for LLM agents.
Treating AI agent memory as a living, evolving system rather than a database. It forgets, consolidates, detects contradictions, abstracts patterns, and retrieves differently based on context - inspired by how the human brain actually works.
Portable Agent Memory. Connect your AI conversations. Remember everything. Everywhere.
LangGraph integration with Kusto as the persistent memory layer
OpenClaw + Mem0 + FalkorDB — Persistent Graph Memory for AI Agents
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.
FalkorDB Typescript graph store plugin for Mem0
memweave is a zero-infrastructure, async-first Python library that gives AI agents persistent, searchable memory — stored as plain Markdown files
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