Keep useful context
Memory helps retain needed information between sessions according to configuration.
Hermes Agent by Nous Research combines memory, skills and tools to assist across work sessions. Run it on a TS68 Cloud Server and configure an assistant around the way you work.
Prepare the weekly report using the structure I shared.
I will use retained context and relevant instructions to prepare your draft.
Illustrative example; memory and skills need configuration and review.
Useful information across sessions
Reusable task instructions
Connections suited to the task
Hermes Agent is a self-hosted agent that can retain information and build skills while solving tasks. Work through the terminal or configured chat channels using suitable tools and AI models.
Memory helps retain needed information between sessions according to configuration.
Skills store guidance and procedures for reuse in relevant work.
Use the CLI or Gateway to connect your assistant to chat channels.
Configure an agent around your regular work.
Configure schedules for recurring work.
Retain and manage useful information for ongoing work context.
Extend the agent with MCP servers suited to your data and tools.
Combine the terminal, search and toolsets enabled in configuration.
Select an AI provider, tools and connection credentials for your needs.
Save and refine task instructions for the agent to use again.
Follow a topic, compile sources and update content on request.
Organize permitted information and retain context you want to reuse.
Connect your assistant to supported channels through the Gateway.
Draft and refine material using your guidance and context.
Coordinate tools to research, inspect and assist server work.
Set up repeated tasks and review results during operation.
Run your application on a Cloud Server with resources, a runtime and an operating approach that fit your needs.
Choose CPU, RAM and storage from published TS68 plans and reassess your selection as workloads change.
Manage the application, domain and connections in a server environment you configure.
Plan HTTPS, access permissions, updates and backups from the start.
Discuss tasks, users and deployment requirements with TS68 to find a suitable plan.
Find current specifications and selling prices on the Cloud Server pages. These suggestions describe workloads; check the actual resources against your requirements.
TS68 provides Cloud Server infrastructure. Confirm installation support and image availability during consultation. You manage the application; licensing, AI model accounts and API charges follow their respective providers.
From choosing a server to your first task: prepare each step and check each connection.
Identify tools, data and expected tasks, then review TS68 Linux/Turbo plans.
Confirm images and support scope with TS68, or install using Nous Research documentation.
Set up an AI provider, credentials, toolsets and MCP where needed.
Use the CLI or configure the Gateway for a chat channel, then check access permissions.
Run a first task and review results, memory and skills before adding automated schedules.