This tutorial details how to implement persistent memory in Claude Desktop using a local knowledge graph. It covers installation of dependencies (Node.js and Claude Desktop), configuration of `mcp.json` and Claude settings, and how to leverage the Knowledge Graph Memory Server for personalized and consistent responses.
This article details six practical use cases for Model Context Protocol (MCP) to automate workflows using AI agents and integrations with tools like Slack, Google Calendar, BigQuery, Linear, GitHub, and HubSpot. It highlights the impact of these automations on team efficiency and productivity.
Goose is a local, extensible, open-source AI agent designed to automate complex engineering tasks. It can build projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs. Goose is flexible, supporting any LLM and seamlessly integrating with MCP-enabled APIs, making it a powerful tool for developers to accelerate innovation.
