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docs(honcho): wizard cadence default 2, prewarm/depth + observation + multi-peer

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- cli: setup wizard pre-fills dialecticCadence=2 (code default stays 1
  so unset → every turn)
- honcho.md: fix stale dialecticCadence default in tables, add
  Session-Start Prewarm subsection (depth runs at init), add
  Query-Adaptive Reasoning Level subsection, expand Observation
  section with directional vs unified semantics and per-peer patterns
- memory-providers.md: fix stale default, rename Multi-agent/Profiles
  to Multi-peer setup, add concrete walkthrough for new profiles and
  sync, document observation toggles + presets, link to honcho.md
- SKILL.md: fix stale defaults, add Depth at session start callout
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Erosika 2026-04-18 12:45:04 -04:00 • committed by kshitij
parent 5f9907c116
commit 098efde848
4 changed files with 103 additions and 17 deletions
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59
website/docs/user-guide/features/memory-providers.md
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@ -82,7 +82,7 @@ hermes memory setup # select "honcho"
| `workspace` | host key | Shared workspace ID |
| `contextTokens` | `null` (uncapped) | Token budget for auto-injected context per turn. Truncates at word boundaries |
| `contextCadence` | `1` | Minimum turns between `context()` API calls (base layer refresh) |
| `dialecticCadence` | `3` | Minimum turns between `peer.chat()` LLM calls. Only applies to `hybrid`/`context` modes |
| `dialecticCadence` | `1` (wizard sets `2`) | Minimum turns between `peer.chat()` LLM calls. Unset → every turn; wizard pre-fills `2`. Only applies to `hybrid`/`context` modes |
| `dialecticDepth` | `1` | Number of `.chat()` passes per dialectic invocation. Clamped 1–3. Pass 0: cold/warm prompt, pass 1: self-audit, pass 2: reconciliation |
| `dialecticDepthLevels` | `null` | Optional array of reasoning levels per pass, e.g. `["minimal", "low", "medium"]`. Overrides proportional defaults |
| `dialecticReasoningLevel` | `'low'` | Base reasoning level: `minimal`, `low`, `medium`, `high`, `max` |
@ -140,23 +140,64 @@ hermes memory setup # select "honcho"
If you previously used `hermes honcho setup`, your config and all server-side data are intact. Just re-enable through the setup wizard again or manually set `memory.provider: honcho` to reactivate via the new system.
:::
**Multi-agent / Profiles:**
**Multi-peer setup:**
Each Hermes profile gets its own Honcho AI peer while sharing the same workspace -- all profiles see the same user representation, but each agent builds its own identity and observations.
Honcho models conversations as peers exchanging messages — one user peer plus one AI peer per Hermes profile, all sharing a workspace. The workspace is the shared environment: the user peer is global across profiles, each AI peer is its own identity. Every AI peer builds an independent representation / card from its own observations, so a `coder` profile stays code-oriented while a `writer` profile stays editorial against the same user.
The mapping:
| Concept | What it is |
|---------|-----------|
| **Workspace** | Shared environment. All Hermes profiles under one workspace see the same user identity. |
| **User peer** (`peerName`) | The human. Shared across profiles in the workspace. |
| **AI peer** (`aiPeer`) | One per Hermes profile. Host key `hermes` → default; `hermes.<profile>` for others. |
| **Observation** | Per-peer toggles controlling what Honcho models from whose messages. `directional` (default, all four on) or `unified` (single-observer pool). |
### New profile, fresh Honcho peer
```bash
hermes profile create coder --clone # creates honcho peer "coder", inherits config from default
hermes profile create coder --clone
```
What `--clone` does: creates a `hermes.coder` host block in `honcho.json` with `aiPeer: "coder"`, shared `workspace`, inherited `peerName`, `recallMode`, `writeFrequency`, `observation`, etc. The peer is eagerly created in Honcho so it exists before first message.
`--clone` creates a `hermes.coder` host block in `honcho.json` with `aiPeer: "coder"`, shared `workspace`, inherited `peerName`, `recallMode`, `writeFrequency`, `observation`, etc. The AI peer is eagerly created in Honcho so it exists before the first message.
For profiles created before Honcho was set up:
### Existing profiles, backfill Honcho peers
```bash
hermes honcho sync # scans all profiles, creates host blocks for any missing ones
hermes honcho sync
```
This inherits settings from the default `hermes` host block and creates new AI peers for each profile. Idempotent -- skips profiles that already have a host block.
Scans every Hermes profile, creates host blocks for any profile without one, inherits settings from the default `hermes` block, and creates the new AI peers eagerly. Idempotent — skips profiles that already have a host block.
### Per-profile observation
Each host block can override the observation config independently. Example: a code-focused profile where the AI peer observes the user but doesn't self-model:
```json
"hermes.coder": {
"aiPeer": "coder",
"observation": {
"user": { "observeMe": true, "observeOthers": true },
"ai": { "observeMe": false, "observeOthers": true }
}
}
```
**Observation toggles (one set per peer):**
| Toggle | Effect |
|--------|--------|
| `observeMe` | Honcho builds a representation of this peer from its own messages |
| `observeOthers` | This peer observes the other peer's messages (feeds cross-peer reasoning) |
Presets via `observationMode`:
- **`"directional"`** (default) — all four flags on. Full mutual observation; enables cross-peer dialectic.
- **`"unified"`** — user `observeMe: true`, AI `observeOthers: true`, rest false. Single-observer pool; AI models the user but not itself, user peer only self-models.
Server-side toggles set via the [Honcho dashboard](https://app.honcho.dev) win over local defaults — synced back at session init.
See the [Honcho page](./honcho.md#observation-directional-vs-unified) for the full observation reference.
<details>
<summary>Full honcho.json example (multi-profile)</summary>
@ -181,7 +222,7 @@ This inherits settings from the default `hermes` host block and creates new AI p
},
"dialecticReasoningLevel": "low",
"dialecticDynamic": true,
"dialecticCadence": 3,
"dialecticCadence": 2,
"dialecticDepth": 1,
"dialecticMaxChars": 600,
"contextCadence": 1,