LightVela

How to Manage Long-Term Memory and Personal Knowledge with an Agent

Useful knowledge has two very different shapes. Some information should remain stable because it describes you and the way you work; other information belongs in documents, notes, and project material that changes over time. Treating both as the same thing makes an assistant less useful.

LightVela gives a Hermes Agent both long-term memory and cloud file storage. Memory helps it retain durable context across conversations; Cloud Storage gives you a place to keep working material and reference files. Used together, they make a personal AI agent easier to brief, revisit, and improve.

LightVela Agent Memory and personal knowledge

Who this is for

This pattern is for people who want an assistant to understand their preferences and recurring work without asking it to memorize every document. It is useful for ongoing projects, personal research, learning notes, client work, and any workflow where the same context returns over time.

The goal is not to create a perfect archive. It is to make the important context easy to find and to keep Hermes aligned with the parts of it that should persist.

Prerequisites

  • A running Hermes Agent and a way to chat with it through the console or a connected channel.

  • A basic understanding of the two places information can live: Memory Management for long-term context, and Cloud Storage for files and folders.

  • A small set of materials you genuinely return to, rather than an unfiltered backlog of every file you own.

  • A clear privacy boundary for what you want Hermes to retain or review.

Steps / key concepts

1. Separate stable context from reference material

Put facts that should shape future conversations into memory: your preferred writing style, time zone, ongoing role, recurring goals, or rules for how you want a project handled. Keep changing materials—briefs, meeting notes, drafts, and research files—in Cloud Storage.

For example, you might tell Hermes:

Remember that I prefer research notes to separate facts, assumptions,
and open questions. Use that structure whenever we review a project.

The point is not to make Hermes store every source document as memory. The point is to give it a durable way to understand how you want those documents handled.

2. Organize the files you expect to revisit

Create a small folder structure in Cloud Storage that matches your real work. Use meaningful names and keep related material together, such as one folder per client, project, course, or research question.

When you want help with a file, tell Hermes what you are trying to do and identify the relevant material. For example:

Help me prepare for this project review. Use the latest brief and my
meeting notes, then list unresolved decisions and questions.

A Cloud Storage folder with project files

3. Review memory instead of assuming it is correct forever

Open Memory Management periodically to review the Memory and User Profile tabs. The user profile is the stable picture of who you are; memory holds useful experience and working context from your collaboration with Hermes.

If a preference changes, say so plainly in conversation:

I no longer want long weekly updates. Please forget that preference
and keep weekly summaries to five bullets.

Memory works best when it stays current. Remove or correct context that would lead Hermes in the wrong direction rather than adding a second, conflicting instruction.

4. Turn reviewed knowledge into a working conversation

Use the Chat page or a connected channel to turn documents and memory into a concrete next step. Ask for a comparison, an outline, a set of open questions, or a recap for a specific meeting. The more specific the immediate outcome, the easier it is to verify that Hermes has the right context.

If your review follows a recurring rhythm, an Automation can remind you to revisit a folder or prepare a regular recap. Begin with a simple reminder or summary rather than granting a broad, open-ended task.

A Hermes Agent conversation using organized project knowledge

FAQ

What is the difference between memory and Cloud Storage?

Memory is durable context that helps Hermes understand you and your ongoing collaboration. Cloud Storage is for files and folders you manage. Memory should capture the important rules and preferences; files should hold the underlying material.

Does Hermes automatically treat every file as long-term memory?

No. Keep the distinction deliberate. Use Memory Management for persistent context, and use Cloud Storage to organize materials you want to reference during specific work.

Can I ask Hermes to forget something?

Yes. Tell Hermes what should no longer be retained, then review the relevant memory or user-profile information if you want to confirm the change.

What should I put in memory first?

Start with preferences that change the quality of almost every conversation: your time zone, communication style, role, active priorities, and the format you prefer for recurring work.

Next steps

  • Memory Management — review long-term context and capacity.

  • Cloud Storage — keep the documents behind your ongoing work organized.

  • Chat — put memory and project material to work in a focused conversation.