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@@ -1914,7 +1914,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [AgenticRevolution/memory-nexus-cloud](https://github.com/AgenticRevolution/memory-nexus-cloud) 📇 ☁️ - Cloud-hosted persistent semantic memory for AI agents. Semantic search, knowledge graphs, specialist expertise hats, and multi-tenant isolation. Free 7-day trial.
- [AgentModule/mcp](https://github.com/AgentModule/mcp) [![AgentModule/mcp MCP server](https://glama.ai/mcp/servers/AgentModule/mcp/badges/score.svg)](https://glama.ai/mcp/servers/AgentModule/mcp) 📇 ☁️ - Agent-native knowledge infrastructure. Deterministic, vertical-specific knowledge bases engineered for autonomous agent consumption via MCP. Ethics module (22 modules, EU AI Act mapped) included with every membership. Free 24hr ethics trial.
- [Entroly](https://github.com/garrytan/entroly) - witness/ravs auditable context control plane
- - [Goldentrii/AgentRecall](https://github.com/Goldentrii/AgentRecall) [![Goldentrii/AgentRecall-MCP MCP server](https://glama.ai/mcp/servers/Goldentrii/AgentRecall-MCP/badges/score.svg)](https://glama.ai/mcp/servers/Goldentrii/AgentRecall-MCP) 📇 ☁️ 🏠 🍎 🪟 🐧 - Persistent, compounding memory for AI agents across sessions. Uses the Intelligent Distance Protocol to surface the most contextually relevant past memories. Five tools: `session_start`, `remember`, `recall`, `check`, `session_end`. `npx agent-recall-mcp`
- [Goldentrii/AgentRecall](https://github.com/Goldentrii/AgentRecall) [![Goldentrii/AgentRecall-MCP MCP server](https://glama.ai/mcp/servers/Goldentrii/AgentRecall-MCP/badges/score.svg)](https://glama.ai/mcp/servers/Goldentrii/AgentRecall-MCP) 📇 ☁️ 🏠 🍎 🪟 🐧 - Persistent, compounding memory for AI agents across sessions. Uses the Intelligent Distance Protocol to surface the most contextually relevant past memories. Five tools: `session_start`, `remember`, `recall`, `check`, `session_end`. `npx agent-recall-mcp`
- [AlekseiMarchenko/central-intelligence](https://github.com/AlekseiMarchenko/central-intelligence) [![central-intelligence MCP server](https://glama.ai/mcp/servers/AlekseiMarchenko/central-intelligence/badges/score.svg)](https://glama.ai/mcp/servers/AlekseiMarchenko/central-intelligence) 📇 ☁️ - Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.
- [epicsagas/alcove](https://github.com/epicsagas/alcove)[![alcove MCP server](https://glama.ai/mcp/servers/epicsagas/alcove/badges/score.svg)](https://glama.ai/mcp/servers/epicsagas/alcove) 🦀 🏠 🍎 🪟 🐧 - MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.
- [eidetic-works/nucleus-mcp](https://github.com/eidetic-works/nucleus-mcp) [![nucleus-mcp MCP server](https://glama.ai/mcp/servers/eidetic-works/nucleus-mcp/badges/score.svg)](https://glama.ai/mcp/servers/eidetic-works/nucleus-mcp) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Sovereign Agent OS — persistent memory, governance, and audit trails for AI agents. One brain for Cursor, Claude Code, Windsurf, and Gemini. Local-first `.brain/` directory with engrams, hypervisor file protection, and optional remote sync. `pip install nucleus-mcp` or Streamable HTTP at `relay.nucleusos.dev`.