From bd5655e9b3c4c6a73b10f58c969cdb148f5cec25 Mon Sep 17 00:00:00 2001 From: AgentModuleAdmin <0agentmodule@gmail.com> Date: Tue, 17 Mar 2026 15:49:09 -0700 Subject: [PATCH 1/2] Add AgentModule/mcp to Knowledge & Memory section --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 9e1e6ad8..53bf37a3 100644 --- a/README.md +++ b/README.md @@ -1230,6 +1230,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [agentic-mcp-tools/memora](https://github.com/agentic-mcp-tools/memora) 🐍 🏠 ☁️ - Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management. - [aitytech/agentkits-memory](https://github.com/aitytech/agentkits-memory) [![agentkits-memory MCP server](https://glama.ai/mcp/servers/@aitytech/agentkits-memory/badges/score.svg)](https://glama.ai/mcp/servers/@aitytech/agentkits-memory) 📇 🏠 🍎 🪟 🐧 - Persistent memory for AI coding assistants with hybrid search (FTS5 + vector embeddings), session tracking, automatic context hooks, and web viewer. SQLite-based with no daemon process — works with Claude Code, Cursor, Windsurf, and any MCP client. - [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) 📇 ☁️ - 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. - [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. - [alibaizhanov/mengram](https://github.com/alibaizhanov/mengram) [![mengram MCP server](https://glama.ai/mcp/servers/@alibaizhanov/mengram/badges/score.svg)](https://glama.ai/mcp/servers/@alibaizhanov/mengram) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs. - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering From 6d64ab4870bdf998450c7ad2bcdf9bf065f69dda Mon Sep 17 00:00:00 2001 From: AgentModuleAdmin <0agentmodule@gmail.com> Date: Tue, 17 Mar 2026 19:03:00 -0700 Subject: [PATCH 2/2] Add Glama score badge to Agent Module entry --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 53bf37a3..b4a7da30 100644 --- a/README.md +++ b/README.md @@ -1230,7 +1230,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [agentic-mcp-tools/memora](https://github.com/agentic-mcp-tools/memora) 🐍 🏠 ☁️ - Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management. - [aitytech/agentkits-memory](https://github.com/aitytech/agentkits-memory) [![agentkits-memory MCP server](https://glama.ai/mcp/servers/@aitytech/agentkits-memory/badges/score.svg)](https://glama.ai/mcp/servers/@aitytech/agentkits-memory) 📇 🏠 🍎 🪟 🐧 - Persistent memory for AI coding assistants with hybrid search (FTS5 + vector embeddings), session tracking, automatic context hooks, and web viewer. SQLite-based with no daemon process — works with Claude Code, Cursor, Windsurf, and any MCP client. - [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) 📇 ☁️ - 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. +- [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. - [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. - [alibaizhanov/mengram](https://github.com/alibaizhanov/mengram) [![mengram MCP server](https://glama.ai/mcp/servers/@alibaizhanov/mengram/badges/score.svg)](https://glama.ai/mcp/servers/@alibaizhanov/mengram) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs. - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering