hermes-agent/website/docs/user-guide/features/curator.md

---
sidebar_position: 3
title: "Curator"
description: "Background maintenance for agent-created skills — usage tracking, staleness, archival, and LLM-driven review"
---

# Curator

The curator is a background maintenance pass for **agent-created skills**. It tracks how often each skill is viewed, used, and patched, moves long-unused skills through `active → stale → archived` states, and periodically spawns a short auxiliary-model review that proposes consolidations or patches drift.

It exists so that skills created via the [self-improvement loop](/docs/user-guide/features/skills#agent-managed-skills-skill_manage-tool) don't pile up forever. Every time the agent solves a novel problem and saves a skill, that skill lands in `~/.hermes/skills/`. Without maintenance, you end up with dozens of narrow near-duplicates that pollute the catalog and waste tokens.

The curator **never touches** bundled skills (shipped with the repo) or hub-installed skills (from [agentskills.io](https://agentskills.io)). It only reviews skills the agent itself authored. It also **never auto-deletes** — the worst outcome is archival into `~/.hermes/skills/.archive/`, which is recoverable.

Tracks [issue #7816](https://github.com/NousResearch/hermes-agent/issues/7816).

## How it runs

The curator is triggered by an inactivity check, not a cron daemon. On CLI session start, and on a recurring tick inside the gateway's cron-ticker thread, Hermes checks whether:

1. Enough time has passed since the last curator run (`interval_hours`, default **7 days**), and
2. The agent has been idle long enough (`min_idle_hours`, default **2 hours**).

If both are true, it spawns a background fork of `AIAgent` — the same pattern used by the memory/skill self-improvement nudges. The fork runs in its own prompt cache and never touches the active conversation.

:::info First-run behavior
On a brand-new install (or the first time a pre-curator install ticks after `hermes update`), the curator **does not run immediately**. The first observation seeds `last_run_at` to "now" and defers the first real pass by one full `interval_hours`. This gives you a full interval to review your skill library, pin anything important, or opt out entirely before the curator ever touches it.

If you want to see what the curator *would* do before it runs for real, run `hermes curator run --dry-run` — it produces the same review report without mutating the library.
:::

A run has two phases:

1. **Automatic transitions** (deterministic, no LLM). Skills unused for `stale_after_days` (30) become `stale`; skills unused for `archive_after_days` (90) are moved to `~/.hermes/skills/.archive/`.
2. **LLM review** (single aux-model pass, `max_iterations=8`). The forked agent surveys the agent-created skills, can read any of them with `skill_view`, and decides per-skill whether to keep, patch (via `skill_manage`), consolidate overlapping ones, or archive via the terminal tool.

Pinned skills are off-limits to both the curator's auto-transitions and the agent's own `skill_manage` tool. See [Pinning a skill](#pinning-a-skill) below.

## Configuration

All settings live in `config.yaml` under `curator:` (not `.env` — this isn't a secret). Defaults:

```yaml
curator:
  enabled: true
  interval_hours: 168          # 7 days
  min_idle_hours: 2
  stale_after_days: 30
  archive_after_days: 90
```

To disable entirely, set `curator.enabled: false`.

### Running the review on a cheaper aux model

The curator's LLM review pass is a regular auxiliary task slot — `auxiliary.curator` — alongside Vision, Compression, Session Search, etc. "Auto" means "use my main chat model"; override the slot to pin a specific provider + model for the review pass instead.

**Easiest — `hermes model`:**

```bash
hermes model                   # → "Auxiliary models — side-task routing"
                               # → pick "Curator" → pick provider → pick model
```

The same picker is available in the web dashboard under the **Models** tab.

**Direct config.yaml (equivalent):**

```yaml
auxiliary:
  curator:
    provider: openrouter
    model: google/gemini-3-flash-preview
    timeout: 600               # generous — reviews can take several minutes
```

Leaving `provider: auto` (the default) routes the review pass through whatever your main chat model is, matching the behavior of every other auxiliary task.

:::note Legacy config
Earlier releases used a one-off `curator.auxiliary.{provider,model}` block. That path still works but emits a deprecation log line — please migrate to `auxiliary.curator` above so the curator shares the same plumbing (`hermes model`, dashboard Models tab, `base_url`, `api_key`, `timeout`, `extra_body`) as every other aux task.
:::

## CLI

```bash
hermes curator status         # last run, counts, pinned list, LRU top 5
hermes curator run            # trigger a review now (background by default)
hermes curator run --sync     # same, but block until the LLM pass finishes
hermes curator run --dry-run  # preview only — report without any mutations
hermes curator backup         # take a manual snapshot of ~/.hermes/skills/
hermes curator rollback       # restore from the newest snapshot
hermes curator rollback --list     # list available snapshots
hermes curator rollback --id <ts>  # restore a specific snapshot
hermes curator rollback -y         # skip the confirmation prompt
hermes curator pause          # stop runs until resumed
hermes curator resume
hermes curator pin <skill>    # never auto-transition this skill
hermes curator unpin <skill>
hermes curator restore <skill>  # move an archived skill back to active
```

## Backups and rollback

Before every real curator pass, Hermes takes a tar.gz snapshot of `~/.hermes/skills/` at `~/.hermes/skills/.curator_backups/<utc-iso>/skills.tar.gz`. If a pass archives or consolidates something you didn't want touched, you can undo the whole run with one command:

```bash
hermes curator rollback        # restore newest snapshot (with confirmation)
hermes curator rollback -y     # skip the prompt
hermes curator rollback --list # see all snapshots with reason + size
```

The rollback itself is reversible: before replacing the skills tree, Hermes takes another snapshot tagged `pre-rollback to <target-id>`, so a mistaken rollback can be undone by rolling forward to that one with `--id`.

You can also take manual snapshots at any time with `hermes curator backup --reason "before-refactor"`. The `--reason` string lands in the snapshot's `manifest.json` and is shown in `--list`.

Snapshots are pruned to `curator.backup.keep` (default 5) to keep disk usage bounded:

```yaml
curator:
  backup:
    enabled: true
    keep: 5
```

Set `curator.backup.enabled: false` to disable automatic snapshotting. The manual `hermes curator backup` command still works when backups are disabled only if you set `enabled: true` first — the flag gates both paths symmetrically so there's no way to accidentally skip the pre-run snapshot on mutating runs.

`hermes curator status` also lists the five least-recently-used skills — a quick way to see what's likely to become stale next.

The same subcommands are available as the `/curator` slash command inside a running session (CLI or gateway platforms).

## What "agent-created" means

A skill is considered agent-created if its name is **not** in:

- `~/.hermes/skills/.bundled_manifest` (skills copied from the repo on install), and
- `~/.hermes/skills/.hub/lock.json` (skills installed via `hermes skills install`).

Everything else in `~/.hermes/skills/` is fair game for the curator. This includes:

- Skills the agent saved via `skill_manage(action="create")` during a conversation.
- Skills you created manually with a hand-written `SKILL.md`.
- Skills added via external skill directories you've pointed Hermes at.

:::warning Your hand-written skills look the same as agent-saved ones
Provenance here is **binary** (bundled/hub vs. everything else). The curator cannot tell a hand-authored skill you rely on for private workflows apart from a skill the self-improvement loop saved mid-session. Both land in the "agent-created" bucket.

Before the first real pass (7 days after installation by default), take a moment to:

1. Run `hermes curator run --dry-run` to see exactly what the curator would propose.
2. Use `hermes curator pin <name>` to fence off anything you don't want touched.
3. Or set `curator.enabled: false` in `config.yaml` if you'd rather manage the library yourself.

Archives are always recoverable via `hermes curator restore <name>`, but it's easier to pin up-front than to chase down a consolidation after the fact.
:::

If you want to protect a specific skill from ever being touched — for example a hand-authored skill you rely on — use `hermes curator pin <name>`. See the next section.

## Pinning a skill

Pinning is a hard fence against both automated and agent-driven changes. Once a skill is pinned:

- The **curator** skips it during auto-transitions (`active → stale → archived`), and its LLM review pass is instructed to leave it alone.
- The **agent's `skill_manage` tool** refuses every write action on it. Calls to `edit`, `patch`, `delete`, `write_file`, and `remove_file` return a refusal that tells the model to ask the user to run `hermes curator unpin <name>`. This prevents the agent from silently rewriting a skill mid-conversation.

Pin and unpin with:

```bash
hermes curator pin <skill>
hermes curator unpin <skill>
```

The flag is stored as `"pinned": true` on the skill's entry in `~/.hermes/skills/.usage.json`, so it survives across sessions.

Only **agent-created** skills can be pinned — bundled and hub-installed skills are never subject to curator mutation in the first place, and `hermes curator pin` will refuse with an explanatory message if you try.

If you need to update a pinned skill yourself, edit `~/.hermes/skills/<name>/SKILL.md` directly with your editor. The pin only guards the agent's tool path, not your own filesystem access.

## Usage telemetry

The curator maintains a sidecar at `~/.hermes/skills/.usage.json` with one entry per skill:

```json
{
  "my-skill": {
    "use_count": 12,
    "view_count": 34,
    "last_used_at": "2026-04-24T18:12:03Z",
    "last_viewed_at": "2026-04-23T09:44:17Z",
    "patch_count": 3,
    "last_patched_at": "2026-04-20T22:01:55Z",
    "created_at": "2026-03-01T14:20:00Z",
    "state": "active",
    "pinned": false,
    "archived_at": null
  }
}
```

Counters increment when:

- `view_count`: the agent calls `skill_view` on the skill.
- `use_count`: the skill is loaded into a conversation's prompt.
- `patch_count`: `skill_manage patch/edit/write_file/remove_file` runs on the skill.

Bundled and hub-installed skills are explicitly excluded from telemetry writes.

## Per-run reports

Every curator run writes a timestamped directory under `~/.hermes/logs/curator/`:

```
~/.hermes/logs/curator/
└── 20260429-111512/
    ├── run.json      # machine-readable: full fidelity, stats, LLM output
    └── REPORT.md     # human-readable summary
```

`REPORT.md` is a quick way to see what a given run did — which skills transitioned, what the LLM reviewer said, which skills it patched. Good for auditing without having to grep `agent.log`.

## Restoring an archived skill

If the curator archived something you still want:

```bash
hermes curator restore <skill-name>
```

This moves the skill back from `~/.hermes/skills/.archive/` to the active tree and resets its state to `active`. The restore refuses if a bundled or hub-installed skill has since been installed under the same name (would shadow upstream).

## Disabling per environment

The curator is on by default. To turn it off:

- **For one profile only:** edit `~/.hermes/config.yaml` (or the active profile's config) and set `curator.enabled: false`.
- **For just one run:** `hermes curator pause` — the pause persists across sessions; use `resume` to re-enable.

The curator also refuses to run if `min_idle_hours` hasn't elapsed, so on an active dev machine it naturally only runs during quiet stretches.

## See also

- [Skills System](/docs/user-guide/features/skills) — how skills work in general and the self-improvement loop that creates them
- [Memory](/docs/user-guide/features/memory) — a parallel background review that maintains long-term memory
- [Bundled Skills Catalog](/docs/reference/skills-catalog)
- [Issue #7816](https://github.com/NousResearch/hermes-agent/issues/7816) — original proposal and design discussion