From 56ad9caa79711968cc954ad16cae720bda128999 Mon Sep 17 00:00:00 2001 From: Ubuntu Date: Thu, 5 Feb 2026 04:31:35 +0000 Subject: [PATCH] Add agent-memory to Knowledge & Memory section --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 836aa7d2..f46956ff 100644 --- a/README.md +++ b/README.md @@ -1011,6 +1011,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [doobidoo/MCP-Context-Provider](https://github.com/doobidoo/MCP-Context-Provider) 📇 🏠 - Static server that provides persistent tool-specific context and rules for AI models - [doobidoo/mcp-memory-service](https://github.com/doobidoo/mcp-memory-service) 📇 🏠 - Universal memory service providing semantic search, persistent storage, and autonomous memory consolidation - [entanglr/zettelkasten-mcp](https://github.com/entanglr/zettelkasten-mcp) 🐍 🏠 - A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients. +- [g1itchbot8888-del/agent-memory](https://github.com/g1itchbot8888-del/agent-memory) 🐍 🏠 - Three-layer memory system for agents (identity/active/archive) with semantic search, graph relationships, conflict detection, and LearningMachine. Built by an agent, for agents. No API keys required. - [GistPad-MCP](https://github.com/lostintangent/gistpad-mcp) 📇 🏠 - Use GitHub Gists to manage and access your personal knowledge, daily notes, and reusable prompts. This acts as a companion to https://gistpad.dev and the [GistPad VS Code extension](https://aka.ms/gistpad). - [graphlit-mcp-server](https://github.com/graphlit/graphlit-mcp-server) 📇 ☁️ - Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline. - [hannesrudolph/mcp-ragdocs](https://github.com/hannesrudolph/mcp-ragdocs) 🐍 🏠 - An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context