Hermes memory plugins — the things that extend what your agent remembers and how — mostly come in two forms: skills, reusable capabilities you install or teach that can read and write the agent's memory, and integrations that connect that memory to tools you already use. There is no official plugin marketplace with a fixed catalogue of names, and any article handing you a tidy top-ten plugin list is inventing it. What genuinely exists is a skills system, a file-based memory those skills can touch, and a set of proven patterns for combining the two.
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I covered the foundations in my Hermes memory system guide and the setups you can choose between in my breakdown of Hermes memory options, so I will not repeat them here. This page is about the layer on top: the extensions that turn memory from a place where facts sit into something the agent actively uses. I will show you how extension really works, the four patterns I trust in my own business, and how I vet anything new before it touches my files.
How Hermes memory plugins actually work
Hermes does not use a locked-down extension API or a proprietary plugin format. It extends through its skills system. A skill is a reusable capability: you add one somebody else built, or you teach the agent a new one yourself, and from then on it knows how to do that thing without being shown again. The part that matters here is simple — Hermes stores memory as plain files on your machine, and skills can read from that memory and write back to it. A memory plugin in Hermes is really any skill or integration that touches those files in a useful way.
That design keeps everything inspectable. When a skill writes to memory, I can open the file and read exactly what it stored; when an integration changes what my agent believes, there is a text file with the change in it, not an opaque database I take on faith. It is the same file-first philosophy my whole Agent OS is built on. It also blurs the line between plugins and teaching — some of my most valuable memory extensions were never installed from anywhere. They are capabilities I taught once, which the agent wrote down and has carried ever since.
The four ways I extend Hermes memory in practice
Rather than name specific plugins that may not exist by the time you read this, here are the four extension patterns that have survived contact with my actual workload. Each one is something I set up, use and keep.
Book-to-skill: teach it once, query it forever
This is the pattern that changed how I think about agent memory. You feed Hermes a PDF or an entire book, and instead of re-reading the document every time you ask, the agent learns the material as a queryable skill and answers from what it learned. I walk through the workflow in my Hermes PDF reader guide, and the project's own testing put numbers on it: answering from a learned book used 24 to 51 times fewer tokens than re-reading the source. That is not a convenience feature. That is memory operating as a capability — the strongest single argument for extending it.
If you want my exact setup — the skills I run, the memory workflows behind them and the prompts that teach them — I share all of it inside AI Profit Lab → get my Hermes memory workflows here.
The vault integration and the Memory Galaxy
The second pattern connects Hermes memory to an Obsidian vault, turning those plain text files into a visual Memory Galaxy — a linked, navigable map of everything the agent knows, which the agents read from and write to as they work. Instead of a folder of files, I get a picture of my agent's knowledge and the connections inside it. I documented the full build in my guide to the best memory setup for a Hermes agent, and of everything on this page it is the extension I would put in place first.
Backup as memory portability
Most people file backup under insurance. I file it under memory extension, because Hermes backup tooling carries your memory together with your skills and configuration — the complete brain, not just the diary. That makes memory portable: I can move an agent to a new machine, restore it after a bad experiment, or clone a working setup for a fresh project, and it arrives remembering what it knew and how to do what it did. The process is in my Hermes backup guide, and I would not run a serious agent without it.
Per-bot scoping in bot mode
The fourth pattern is containment. In bot mode, each bot carries its own memory, so an extension can be scoped to one specialist rather than polluting every agent you run. My research bot can hold a learned book my content bot never sees; a client-specific capability stays with the bot that faces that client. If you run more than one agent, this is the difference between a tidy team and a shared junk drawer — I explain the setup in my Hermes bot mode guide.
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Memory as a capability, not a diary
Here is the thread running through all four patterns, and the real reason extending Hermes memory is worth your time: done properly, it turns memory from a diary into an operating capability. A diary records facts — your name, your preferences, what happened on Tuesday. Useful, but passive. A capability remembers how to do things — how to answer from a book, how to structure a deliverable, how to run a process the way you run it. The agent stops being something that recalls and starts being something that performs.
My Hermes SEO skills are the clearest example from my own work. The agent does not merely remember that I do SEO; it remembers how I do it — the checks, the structures, the standards — and executes them without me re-explaining anything. That is what a memory extension should buy you. If a so-called plugin only adds more facts to the pile, it is solving the least interesting part of the problem.
How I vet a Hermes memory extension before trusting it
The skills ecosystem is open, which means quality varies wildly, and anything that writes to memory can also write rubbish to memory. So before any memory-touching extension gets near my main agent, it goes through Goldie Bench, my testing setup, and has to pass three checks:
- Does it write readable files? I open what it stored. If I cannot understand what it wrote, I cannot audit what my agent believes, and it fails on the spot.
- Can I export what it creates? Memory that cannot leave is memory you do not own. If the output will not travel with a standard backup, it is a liability dressed as a feature.
- Does it survive restarts? I restart the agent and ask again. If the capability evaporated, it was never really in memory — it was a party trick living in one session.
Fewer, well-tested memory extensions beat piles of half-working ones.
That rule sits above everything else on this page. Every extension you add is another thing that can quietly corrupt what your agent believes. Three I trust completely do more for me than thirty I half-trust ever could.
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The honest part: this ecosystem moves fast
Now the thing most pages about Hermes memory plugins will not admit: any specific list is stale almost as soon as it is published. Community skill libraries move quickly — for a sense of scale from the wider agent world, ClawHub passed 5,000 community skills for OpenClaw. The Hermes ecosystem is younger, but the direction of travel is the same: new skills appear constantly, and good ones get superseded. So treat this page as a map of patterns and categories, which age well, then browse the current community skills for implementations — a name-list frozen inside an article does not.
Hermes memory plugins at a glance
| Pattern | What it adds to memory | Where I covered it |
|---|---|---|
| Book-to-skill | Documents learned once and answered from memory, with 24 to 51 times fewer tokens than re-reading | My Hermes PDF reader guide |
| Vault and Memory Galaxy | A visual, navigable map of agent memory that agents read and write | My best-memory-for-Hermes build |
| Backup and export | Portability — memory travels with skills and configuration | My Hermes backup guide |
| Per-bot scoping | Containment — extensions live with one specialist bot | My Hermes bot mode guide |
Hermes memory plugin FAQs
Is there an official list of Hermes memory plugins?
No. Hermes extends through its skills system and integrations rather than a curated plugin store, so any fixed list you find is somebody's snapshot at best and fiction at worst. Learn the patterns on this page, then check what the community is actually shipping right now.
Can a skill really change what my agent remembers?
Yes — that is the entire mechanism. Hermes memory is plain files, and skills can read from and write to those files. It is also why my vetting checks focus on what gets written: whatever a skill puts into memory becomes part of what your agent believes.
Will memory extensions slow my agent down?
Good ones do the opposite. The learned-book pattern is the proof: answering from learned material used a fraction of the tokens that re-reading the source did, which means faster and cheaper at the same time. An extension earns its place by removing repeated work, not adding overhead.
How many memory extensions should I run?
Fewer than you are tempted to. Start with one — I would make it the vault — prove it writes files you can read and survives restarts, then add the next. A small set you trust beats a large set you have to babysit.
My verdict on extending Hermes memory
The absence of a tidy plugin marketplace is not a weakness — it is the point. Skills plus file-based memory means every extension is inspectable, portable and teachable, and the four patterns above cover the ground that matters: learn documents once, see your memory as a Galaxy, carry the whole brain in a backup, and scope specialists in bot mode. Start with the vault, add book-to-skill the day you have a document worth learning, and back everything up before you experiment with anything new.
If you want an agent that remembers how to run your business, not just what happened in it, I will show you the exact build — skills, memory and all — inside AI Profit Lab → join me here and copy my setup.
