Model Context Protocol (MCP) server for Anzo Graph Database with dual API support (5.4 + 6.0+), 50+ tools, discovery capabilities, and comprehensive skill-based workflows
Storage, memory and knowledge management for agents.
Model Context Protocol (MCP) server for Anzo Graph Database with dual API support (5.4 + 6.0+), 50+ tools, discovery capabilities, and comprehensive skill-based workflows
AGM — Agent Memory Management. Provenance-tagged memory infrastructure for multi-agent AI systems. MCP server with trust scoring, behavioral fingerprinting, and memory poisoning defense.
MCP server for the Agimus data platform — connects AI coding tools to your ontology
MCP server for AgentRecall — persistent memory for AI agents
Cross-agent Raw-RAG incremental memory indexer and MLX two-stage retrieval MCP server for Claude Code, Codex, OpenCode, Oh My Pi, and Antigravity
Persistent Cognitive Layer for AI Agents — MCP Server
Persistent memory for AI agents — store, retrieve and search knowledge across sessions
MCP server for Agent Memory — Telegram memory layer for AI agents
Agentic Memory Management via MCP — Knowledge Graph for AI agents
Encrypted, capability-scoped, versioned Markdown file-tree memory for MCP agents
MCP server for AgentDB — give any AI agent persistent memory and observability
MCP server for aerospace and flight planning operations
Integrate AegisDB as persistent memory for Claude Code (MCP server + hooks)
Official, multi-account Instagram Graph API MCP: read, publish, analytics, comments, DMs.
Self-Evolving RAG for AI Agents — A cross-app persistent memory system where agents autonomously write, retrieve, and evolve their knowledge
Persistent memory tools for Claude Desktop. Search your vault or Obsidian notes mid-conversation.
Save AI-agent handoff checkpoints, WorkStash notes, and WorkThreads in a local A2CR workspace.
Read, write and scan process memory, Cheat Engine style, on Windows, Linux and macOS.
Memory database for AI agents: remember and recall over a running Fraise daemon, in FQL.
Text to knowledge graphs: topics, clusters, gaps, and research ideas via InfraNodus.