In this article
The essential idea
Hermes Agent combines an agent environment with persistent memory and reusable skills. Its appeal is continuity across tasks. The engineering challenge is deciding what may be remembered, reused and executed.
Continuity is the interesting part
Hermes Agent is an agent project from Nous Research. Its documentation describes persistent memory, skills and several ways to interact with tools and model providers. Here, Hermes means that agent project, not every model or product sharing the name. Our assessment focuses on its potential use for recurring internal technical work.
Imagine an assistant that helps prepare a weekly integration review. The task repeats, while incidents, source documents and decisions change. Useful continuity means retaining the agreed report structure and team conventions, while fetching current facts each time. We would evaluate whether the assistant reduces repeated setup without silently carrying yesterday’s assumptions into today’s report.
Memory, RAG and training solve different problems
The memory documentation describes MEMORY.md for agent notes and USER.md for user-related preferences, with session boundaries influencing when stored information is loaded. This is application-level persistence. It should not be described as the underlying language model automatically retraining its weights after every task.
In our proposed review assistant, memory would hold stable conventions, a skill would describe the report procedure and retrieval would bring in the current incident evidence. Keep these responsibilities separate. A remembered fact such as “service A uses endpoint B” needs a way to expire or be checked. A personal preference should not become a universal rule for everyone who uses the assistant.
Remember, repeat, retrieve
Three responsibilities to keep separate in a recurring workflow.
Memory
Stable preferences and conventions. Review facts that may become stale.
Skill
The versioned procedure: steps, tools and expected output.
Retrieval
Current evidence for this task, with source references.
Review a skill like a small operational procedure
Hermes documents skills organised around SKILL.md files, potentially accompanied by referenced resources and scripts. This creates a practical place to capture a repeatable method. Our recommendation is to version business skills and review their changes: specify inputs, expected output, permitted tools and the conditions that require a person to take over.
For the weekly report, require links to current incidents and separate confirmed facts from suggested follow-ups. If the agent proposes a new shortcut, test it before accepting it as a standard procedure. Reusing an error more efficiently is not an improvement. Keep an owner for each important skill and a way to restore its previous revision.
Give the pilot a bounded execution environment
Hermes documents approval controls for dangerous command patterns and configurable approval modes. These controls are useful to understand, but an integration should also limit the credentials and systems available to the agent. For a first pilot, we would use a dedicated workspace, narrow read access and explicit review before external communication or operational changes.
Evaluate continuity across fresh sessions, corrections to stale memory and recovery after a failed tool call. Ask a second team member to inspect the report and the stored procedure. The desired outcome is a maintainable assistant whose behaviour can be explained, not a growing collection of private conventions that only its original operator understands. MASLOV Solutions can help design that integration and evaluation boundary.
A recurring report needs memory and fresh evidence
Imagine an assistant preparing a weekly operational brief. A remembered preference can preserve the desired structure and level of detail. A reviewed skill can describe the sequence for collecting indicators and drafting the report. Current metrics must still come from the authorised systems of record; last week’s conversation is not a reliable substitute.
Separate these inputs in the proposed design. Mark persistent preferences with an owner and allow correction or deletion. Keep the reporting procedure versioned and retrieve fresh data for each run. If the source is unavailable, show the gap rather than silently using a remembered value. That makes continuity useful without allowing old context to masquerade as current operational evidence.
Review what persists after the session
A pilot should inspect the memory and skill changes it produces, not only the final report. Did a temporary exception become a permanent rule? Was sensitive information retained unnecessarily? Can a colleague explain which instruction caused the next run to behave differently? These questions matter whenever an assistant carries knowledge across sessions.
Test a corrected preference, a revoked source and a deliberately misleading document. Confirm that the surrounding execution environment constrains available commands and network access as intended. Keep a way to restore reviewed procedures and remove incorrect memory. Persistence is valuable when it reduces repeated explanation; it becomes a liability when nobody can inspect, amend or retire what was learned.
Sources & further reading
Documentation consulted on .
FAQ / DECISIONS
Frequently asked questions
Is persistent memory the same as RAG?+
No. Memory retains selected information across interactions. RAG retrieves evidence for a current question. They can complement one another but need separate ownership and freshness rules.
Should an agent-generated skill be used immediately?+
For a business workflow, review its instructions, dependencies and permitted actions, then test it on representative cases before treating it as a shared procedure.