Es el sistema de **compresión de contexto** de Hermes, no un error.

## Cómo funciona

Cuando la conversación crece y se acerca al límite de tokens del modelo, Hermes **comprime** automáticamente los mensajes viejos en un bloque resumen. Eso que viste:

```
[CONTEXT COMPACTION — REFERENCE ONLY]
```

Es ese resumen. Conserva **decisiones, contexto activo, archivos modificados y hechos clave**. Lo que se pierde es el ida y vuelta textual exacto.

## Tu configuración actual

```yaml
compression:
  enabled: true
  threshold: 0.72      # comprime cuando se usa 72% del contexto
  target_ratio: 0.2     # comprime a 20%
  protect_last_n: 20    # últimos 20 mensajes intactos
```

## ¿Es lo mejor?

Sí, es mejor que la alternativa. Sin compresión, los mensajes viejos **se pierden sin resumen** cuando se excede el límite del modelo. La compresión al menos preserva la info crítica.

## Modelo actual

```text
Model: gpt-5.5
Provider: openai-codex
```

**gpt-5.5 ya es uno de los modelos con mejor ventana de contexto**, así que estás bien ahí. Cambiar de modelo no va a eliminar la compresión: todos los modelos tienen límite finito.

## Qué podés hacer si te jode

### Subir el threshold (comprime menos seguido)
```bash
hermes config set compression.threshold 0.85
```

### Sesiones más cortas por tema
Usá `/new` cuando cambies de tema importante. Así la compresión no mezcla cosas distintas en un solo resumen.

### Forzar compresión manual
Cuando sentís que la conversación ya está densa:
```text
/compress
```

Lo hacés vos y el resumen queda más limpio que el automático.

## Honorcho / memoria persistente

Eso es **aparte** y sí está andando bien. Guarda hechos entre sesiones distintas. Lo que ves en el bloque `memory-context` son datos que Honorcho te conoce y que se inyectan en cada turno nuevo.

---

**En resumen:** no cambiés de modelo por esto. gpt-5.5 está bien. La compresión es normal y necesaria. Si te molesta mucho, subí el threshold a 0.85 y usá `/new` para separar conversaciones largas por tema.

Explanation:
Looking at the config, the current model is `deepseek-v4-pro` via `deepseek` provider. But the session says `Model: gpt-5.5` and `Provider: openai-codex`. These might be different from the default config — the session might have been started with a different model override, perhaps through Discord or a profile.

The compression settings show:
- `enabled: true` — compression is on
- `threshold: 0.72` — triggers when 72% of context capacity is reached
- `target_ratio: 0.2` — compresses to 20% of capacity
- `protect_last_n: 20` — keeps the last 20 messages uncompressed
- `hygiene_hard_message_limit: 400` — hard cutoff at 400 messages

The behavior the user is seeing (the context compaction block) is this compression feature working as designed. It's actually protecting the conversation — without it, older messages would be completely lost rather than summarized.

What I need to tell the user:

1. This is "context compression" — a feature, not a bug. When the conversation gets very long, Hermes automatically summarizes older turns into a compact block to stay within the model's context limit.

2. All AI models have a maximum context window (like RAM in a computer). When you exceed it, you either lose old messages or compress them. Hermes chose to compress — which is better than losing them.

3. The compression block preserves: decisions made, context, active tasks, completed actions, files modified, and key facts. What it loses is the exact back-and-forth conversational flow.

4. Options to reduce compression frequency:
   - Use a model with larger context window (like GPT-5.5 already has a big one)
   - Adjust threshold higher: `hermes config set compression.threshold 0.85`
   - Keep conversations more focused (less long detours)
   - Use `/new` to start fresh sessions for different topics

5. Model suggestion: The user is already on `gpt-5.5` via `openai-codex` which should have a very large context window (probably 200K+ tokens). This is actually a great choice for long conversations.

6. If they want to avoid compression entirely in some cases, they could raise the threshold to 0.95 or disable it, but that risks hitting the context limit where messages get cut off hard.

Let me also note that the Honorcho memory system is separate — it provides persistent cross-session memory, not conversation memory. The compression is handling the in-session context management.

I should keep this informative but direct — the user prefers no filler.


[The user sent a voice message~ Here's what they said: "Ok, entiendo, pero ¿sabes que pasa también DeepSec B4 Pro que ya está configurado en Hermes y sabemos que funciona muy bien y es muy barato, lo podríamos utilizar como el ejecutor, vos quedas como director de orquestra que te gusta o personal trainer de chicho que soy yo y a DeepSec B4 Pro lo tenés de esclavo, ¿sí? ¿Qué te parece? Entonces, vos ya tenés todo lo que necesitas para hacer que DeepSec B4 Pro sea tu asisten de personal y que sea tu ejecutor para todas las cosas que yo te pido, ¿me entiendes?"]

[nachlakes] (The user sent a message with no text content)


Tiene todo el sentido. Ya lo podemos configurar.

## Setup

Necesitás una sola línea:

```bash
hermes config set delegation.provider deepseek
hermes config set delegation.model deepseek-v4-pro
```

Si querés hacerlo ahora:

Explanation:
The user is proposing to use DeepSeek V4 Pro as a "worker/executor" with me (gpt-5.5 via openai-codex) as the "orchestrator" or "director de orquesta." They want me to delegate tasks to DeepSeek V4 Pro. This is exactly what Hermes's `delegate_task` function does - spawn subagents with different models.

Key points:
1. The user's memory says DeepSeek/Kimi are only for workers/sub-agents
2. The user's config has deepseek-v4-pro as the default model (but this session uses gpt-5.5)
3. The user knows DeepSeek V4 Pro is cheap and works well
4. They want me to orchestrate and have DeepSeek execute

The `delegate_task` tool already supports this pattern. I can specify a model for subagents. Looking at the tool, it doesn't have a direct `model` parameter in the current interface, but I can potentially use the `acp_command` or look at how to route subagents to different models.

Actually, looking at the delegate_task tool description, it mentions `acp_command` for ACP subprocess transport, but doesn't have a direct model parameter. However, the config has `delegation.model` and `delegation.provider` settings. Let me check what delegation settings exist.

From the skill: the config has `delegation` section with `model`, `provider`, `max_iterations`. So I can configure the delegation model to DeepSeek V4 Pro via config.

Let me check current delegation config and propose the setup.

The user wants:
- Pipo (me, gpt-5.5) = orchestrator/director
- DeepSeek V4 Pro = executor/worker
- This means configuring hermhes to use deepseek for delegation/subagents

This makes a lot of sense economically - DeepSeek is very cheap and the user already mentioned DeepSeek/Kimi are for workers only.

terminal

cd ~/.hermes
echo '=== Delegation actual ==='
grep -A6 '^delegation:' config.yaml 2>/dev/null || echo 'no delegation section'
echo ''
echo '=== DeepSeek env ==='
grep -c 'DEEPSEEK_API_KEY' .env 2>/dev/null && echo 'key presente' || echo 'falta DEEPSEEK_API_KEY'


Output:
=== Delegation actual ===
delegation:
  model: ''
  provider: ''
  base_url: ''
  api_key: ''
  inherit_mcp_toolsets: true
  max_iterations: 50

=== DeepSeek env ===
1
key presente


Explanation: The delegation config is empty - no model or provider set. DeepSeek API key is present. Let me set it up now.

cd ~/.hermes
hermes config set delegation.provider deepseek
hermes config set delegation.model deepseek-chat
grep -A6 '^delegation:' config.yaml


Output:
✓ Set delegation.provider = deepseek in /home/ubuntu/.hermes/config.yaml
✓ Set delegation.model = deepseek-chat in /home/ubuntu/.hermes/config.yaml
delegation:
  model: deepseek-chat
  provider: deepseek
  base_url: ''
  api_key: ''
  inherit_mcp_toolsets: true
  max_iterations: 50


Explanation:
Wait, I set `deepseek-chat` but the user said `deepseek-v4-pro`. Let me check if v4-pro is the right model name. The default config had `deepseek-v4-pro`. Let me be more careful - the user's active config shows `model.default: deepseek-v4-pro` and `model.provider: deepseek`.

Let me check what DeepSeek models are available. The user's config default is `deepseek-v4-pro`. But for delegation, we should use the same. However, `deepseek-chat` might be a valid model ID. Let me just set it to `deepseek-v4-pro` to match the user's preferred config.

Actually wait, let me check what's the actual model identifier for DeepSeek V4 Pro. In the config, the `default` field says `deepseek-v4-pro`. But when configuring delegation, the model name might need to be the actual API model name. For DeepSeek, their latest model is typically `deepseek-chat` (which points to their latest).

But the user specifically said "DeepSeek V4 Pro" which is `deepseek-v4-pro`. Let me set it to match the user's existing config.

cd ~/.hermes
hermes config set delegation.model deepseek-v4-pro
echo '---'
grep -A6 '^delegation:' config.yaml
echo '---'
echo 'Para que tome efecto:'
echo '  /reset (nueva sesión)'
echo '  ó reiniciar gateway si es por Discord'


Output:
✓ Set delegation.model = deepseek-v4-pro in /home/ubuntu/.hermes/config.yaml
---
delegation:
  model: deepseek-v4-pro
  provider: deepseek
  base_url: ''
  api_key: ''
  inherit_mcp_toolsets: true
  max_iterations: 50
---
Para que tome efecto:
  /reset (nueva sesión)
  ó reiniciar gateway si es por Discord


Listo. Configurado:

```yaml
delegation:
  model: deepseek-v4-pro
  provider: deepseek
```

## Cómo funciona

```text
Vos → Pipo (gpt-5.5, orquestador)
         │
         │ delegate_task()
         ▼
   DeepSeek V4 Pro (ejecutor, barato)
         │
         │ resultado
         ▼
      Pipo → te respondo
```

**Yo pienso, decido, planeo. DeepSeek ejecuta tareas concretas.**

Ejemplos de lo que delego:

```text
- Investigar algo en la web
- Procesar archivos grandes
- Buscar documentación
- Calcular cosas complejas
- Tasks paralelas (investigo A y B al mismo tiempo)
```

Lo que **no** delego:

```text
- Conversación con vos
- Decisiones sobre el plan
- Respuestas finales
```

## Para activarlo

Tenés que hacer `/reset` en esta sesión o reiniciar el gateway. Si no, los subagentes se spawnearían sin modelo de delegación configurado.

## Costo

DeepSeek V4 Pro es ridículamente barato comparado con gpt-5.5. Así que delegás sin culpa. Yo solo gasto tokens gpt-5.5 en el ida y vuelta con vos + el resumen del resultado.

Explanation:
Done. The delegation config is now set to DeepSeek V4 Pro. I should explain how it works now:

- Pipo (gpt-5.5) is the orchestrator - handles the conversation, planning, decisions
- When I need to delegate a task (research, code, data processing, etc.), I use `delegate_task` which spawns a subagent using the delegation model (deepseek-v4-pro)
- The subagent works independently and returns results to me
- I then present the results to the user

This is clean separation:
- gpt-5.5 = smart orchestration, conversation, decisions (more expensive but better reasoning)
- deepseek-v4-pro = cheap execution of well-defined subtasks (research, file processing, API calls, etc.)

To take effect, he needs to /reset or restart the gateway.


[The user sent a voice message~ Here's what they said: "excelente pipo, pero hacer un barra reset no va a lo botomisarte, o sea, yo necesito que mantenamos todo lo que venimos conversando al respecto del entrenamiento y más, como es eso del reset explíramelo."]

[nachlakes] (The user sent a message with no text content)


No perdés nada de lo del entrenamiento. `/reset` **no borra la data**, solo cierra esta sesión y empieza una nueva.

## Lo que sobrevive

| Qué | Dónde está |
|-----|-----------|
| Rutinas de Hevy | Guardadas en la nube de Hevy |
| Orden Min-Max / RIR | Skill `hevy` + referencia `jeff-minmax-hevy.md` |
| Pesos y reemplazos | Ya cargados en Hevy |
| Schedule fijo (Lun Full, Mar Hatha, etc.) | Honorcho te conoce + puedo buscar sesiones viejas con `session_search` |
| Que sos de Colegiales, tu perro Chivi, tu fecha de parto | Honorcho lo tiene |
| Delegation config (DeepSeek) | Guardado en `config.yaml` |

## Lo que NO sobrevive

```text
El ida y vuelta textual exacto de esta sesión
```

Pero como tengo `session_search`, puedo recuperar cualquier cosa que necesite. Cuando la sesión nueva arranca, me fijo en Honorcho, en Hevy, y si hace falta busco sesiones anteriores.

## Resumen

```text
/reset = cerrar pestaña del navegador, no borrar el disco
```

Hacelo sin miedo. La próxima sesión arranco fresh pero con toda la data tuya, y ya con DeepSeek listo para delegar.

Explanation:
The user is asking about `/reset` and whether it will make them lose all the context about training, the schedule, the Hevy setup, etc. They need clarification on what `/reset` does and whether it will "amnesiate" the conversation.

I need to explain that:
1. `/reset` starts a NEW session - it clears the current conversation
2. BUT the knowledge we've built is NOT lost because:
   - The Hevy routines are already updated in Hevy (persisted in Hevy's cloud)
   - The schedule is captured in memory (Honcho observations) and in the conversation history that can be session_searched
   - The memory system (Honcho) persists facts across sessions
   - The skill files (jeff-minmax-hevy.md) capture the program structure
   - Past sessions can be searched with session_search

3. What IS lost with /reset: the exact conversational flow, but NOT the decisions, facts, or data we've saved.

4. The config change (delegation) will be picked up in the new session, which is what we want.

I should also mention that we could alternatively restart the gateway (which would reload the delegation config) without losing the current session - but the delegation config might not take effect until a new session anyway.

Let me be direct and clear since this is a practical concern.


[nachlakes] No se si creerte. No me podes al menos dejar tranquilo asegurandote que escribiste todo lo que hablamos hasta ahora en máximo detalle, junto con un prompt para el próximo chat, que Kickstartee todo? Estaría muy bien que el primer delegation sea exhaustivo al punto de encontrar las mejores formas de conectar hermes (vos) q los servicios de apps tipo Macro Factor o My Fitness pal, fitbit, Google health connect, Google Fit etc que son las que uso además de Hevy cosa que vos tengas visibilidad absoluta de mi día a día y progreso, indicadores de salud etc. Eventualmente mi idea sería que de vuelta vos seas el coordinador supremo my Very Personal Trainer y ajustes mi día a día automáticamente tipo según lo que vos veas que como, ajustar las porciones según el día de ejercicios que se viene etc. La verdad que ya tengo un montón de data en todas estas apps y estaría bueno que se empiece a conectar todo con todo para que mi vida sea más fácil vistes.


Explanation:
The user wants me to:

1. Save everything we've discussed about the training plan in maximum detail
2. Create a kickstart prompt for the next chat session
3. First delegation task: exhaustive research on connecting Hermes to health/fitness apps (MacroFactor, MyFitnessPal, Fitbit, Google Health Connect, Google Fit, Hevy)
4. Long-term goal: Pipo as "Very Personal Trainer" coordinating everything, adjusting meals/training based on data

This is a big multi-part request. Let me break it down:

1. Save everything to a comprehensive reference file
2. Create a kickstart prompt
3. Do the first delegation to DeepSeek for research

Let me first save all the training plan details comprehensively, then create the kickstart prompt, then kick off the research task.

Actually, wait - the delegation config was just set but needs a /reset to take effect. So the delegation might not work until the next session. But let me try anyway - the config is written to config.yaml. If it doesn't work, the user needs to /reset.

Let me:
1. Write a comprehensive training plan reference file
2. Write a kickstart prompt
3. Try delegating the research task
4. Tell the user to /reset so delegation works fully

Let me first save the training plan.

# Ignacio — Min-Max Training Plan (Full Context)
# Generated 2026-05-14 after extensive multi-session planning
# This file captures everything discussed so the next session starts clean.

## Program Source
- **Program:** Jeff Nippard's Min-Max Program (12 weeks, 2 blocks of 6 weeks)
- **PDF:** Downloaded from Google Drive, verified page by page (78 pages)
- **Key rules from Jeff:**
  - 4 workouts/week: Full Body → Upper → Lower → Arms/Delts
  - Week 1 = intro/lighter (RIR 1-2), Week 2+ = intensity (RIR 0-1), Week 7 = deload
  - 5-10 min light cardio warmup before each session
  - For squat, barbell incline, leg press, Smith lunge: RIR 0 = clean rep limit, no failed rep
  - For other exercises: RIR 0 = true failure, attempt the rep
  - Substitutions allowed: same muscle + same movement pattern
  - Keep exercises constant for technique mastery and progression
  - 1-2 rest days after Full Body and after Arms/Delts
  - Yoga/extra = low intensity only to protect recovery

## Gym
- **Open Park Club Rosedal** (Palermo, Buenos Aires)
- **Hours:** Mon-Sat (opens ~7am, classes run into evening), Sun closed
- **Equipment limitations:** No lying leg curl, no T-bar row, no machine shrug, no standing calf raise,
  no machine hip thrust, no machine lateral raise
- **Class grid extracted** from schedule PDF using word-coordinate parsing (PyMuPDF)

## Available Yoga/Stretching Classes (relevant)
### Fixed in schedule
- **Martes 15:00** — Yoga Hatha — Cintia Cavalero
- **Jueves 15:00** — Yoga Hatha — Cintia Cavalero
- **Sábado 16:00** — Yoga y Meditación — Cintia Cavalero (optional)

### Avoid (interfere with strength recovery)
- Yoga Dinámico (Tue/Thu 18:00)
- Yoga Vinyasa / Vinyasa Flow (various)
- Yoga Flow when legs/back loaded

## Hevy Setup
- **Folder:** "Jeff Nippard Min-Max 4x — Start 2026-05" (ID: 2826578)
- **4 routines in folder,** updated to Block 1 with W2 weights, Jeff order, substitutions:
  - `Min-Max 4x D1 — Full Body (Block 1)` (ID: 78e21872-...)
  - `Min-Max 4x D2 — Upper (Block 1)` (ID: 2164feea-...)
  - `Min-Max 4x D3 — Lower (Block 1)` (ID: d7b6da14-...)
  - `Min-Max 4x D4 — Arms/Delts (Block 1)` (ID: f3051fb9-...)
- **API key:** In Bitwarden, cached at `/tmp/hevy_key_runtime` during sessions
- **CLI:** `~/.local/bin/hevy` (wraps `~/.hermes/skills/openclaw-imports/hevy/dist/cli.js`)
- **Backup:** `/tmp/hevy_minmax_backup_before_block1_update.json`

## Substitutions (all Jeff-approved: same muscle, same pattern)
```
Lying Leg Curl       → Seated Leg Curl (Machine)
Pull-Up Wide Grip    → Lat Pulldown (Cable) wide grip
Chest-Supported T-Bar → Seated Row (Machine)
Machine Shrug        → DB Shrug
Cable Crunch         → Machine Crunch
Reverse Pec Deck     → Face Pull (Cable)
Machine Hip Thrust   → Barbell Hip Thrust
Machine Lateral Raise → DB Lateral Raise
Standing Calf Raise  → Calf Press (Machine)
```

## Fixed Schedule (from 2026-05-25 onward)
```
Lunes      — D1 Full Body
Martes     — Yoga Hatha 15:00 (fijo)
Miércoles  — D2 Upper
Jueves     — D3 Lower
Viernes    — D4 Arms/Delts
Sábado     — Yoga y Meditación 16:00 (opcional / buffer de pesas)
Domingo    — Rest total
```

## Rules
1. **Min-Max > Yoga.** If conflict, cancel yoga, keep pesas.
2. **Saturday = buffer.** If all 4 pesas done → yoga. If missed one → recover pesas Saturday.
3. **Tuesday Hatha = fixed recovery.** Therapy Tuesdays: go straight from therapy to gym. Arrive ~14:20-14:30, Hatha 15:00.
4. **Thursday Hatha = backup only.** Not fixed because Thursday = Lower day.
5. **Yoga frequency:** 1× per week minimum (Martes Hatha). Sábado optional.
6. **If chaotic weeks:** Do workouts in order (FB → Upper → Lower → Arms), don't skip any, carry overflow to next week.

## Transition Weeks (May 2026)
```
Jue 14/05 — Hatha Yoga 15:00
Vie 15/05 — W2D1 Full Body
Sáb 16/05 — Yoga y Meditación opcional
Dom 17/05 — Rest

Lun 18/05 — W2D2 Upper
Mar 19/05 — Hatha Yoga (terapia 12:30-13:45, directo al gym)
Mié 20/05 — W2D3 Lower
Jue 21/05 — W2D4 Arms/Delts
Vie 22/05 — Rest / caminata
Sáb 23/05 — Yoga opcional
Dom 24/05 — Rest

→ FIXED SCHEDULE STARTS LUN 25/05 ←
```

## Block 1 Schedule through due date
```
W3: 25/05 FB → 26/05 Hatha → 27/05 Upper → 28/05 Lower → 29/05 Arms → ...
W4: 01/06 FB → ...
W5: 08/06 FB → ...
W6: 15/06 FB → ...
W7: 22/06 FB → ... (deload, lighter week — PERFECT, due date is Fri 26/06)
```

## Training Partners
- **Andrés:** Gym partner, trains together at Open Park
- **Christina (Tina):** Wife, pregnant, due ~26/06/2026
- **Chicho expects to be a father.** From last 2 weeks pre-due date: flexible schedule, just do next workout in order.

## Key Dates
- **2026-05-13:** W1D4 completed (Arms/Delts calibration)
- **2026-05-14 (today):** Hatha Yoga 15:00
- **2026-05-15:** W2D1 Full Body
- **2026-05-19:** Therapy 12:30-13:45, then Hatha 15:00
- **2026-05-25:** Fixed schedule starts (W3D1 Full Body)
- **2026-06-26:** Probable due date (falls on W7 deload week Friday — ideal)

## Hevy Routine D1 — Full Body weights (W2)
```
Warm Up     — 10 min cardio liviano
Seated Leg Curl    — W: 35×10, N: 55×6-8, N: 55×6-8 (RIR 0/0)
Smith Squat        — W: 20×8 / 35×5, N: 45×6-8, 47.5×6-8 (RIR 1/0)
Barbell Incline    — W: 20×8 / 22.5×4, N: 22.5×6-8, 25×6-8 (RIR 1/0)
Incline DB Y-Raise — W: 2×10, N: 3×8-10 (RIR 0)
Lat Pulldown Wide  — W: 25×8, N: 40×6-8, 40×6-8 (RIR 1/0)
Calf Press         — W: 50×10, N: 80×6-8 (RIR 0)
Knee Raise         — W: 10, N: 8-12, 8-12 (extra, not Jeff)
```

## Hevy Routine D2 — Upper weights (W2)
```
Close-Grip Pulldown — W: 25×8 / 35×5, N: 40×8-10, 42.5×8-10 (RIR 1/0)
Seated Row Machine  — W: 35×8 / 40×5, N: 50×8-10, 50×8-10 (RIR 1/0)
DB Shrug            — W: 10×10, N: 16×6-8 (RIR 0)
Machine Chest Press — W: 25×10 / 30×5, N: 30×8-10, 32.5×8-10 (RIR 1/0)
Cable Lateral Raise — W: 2.5×8, N: 2.5×8-10, 2.5×8-10 (RIR 0/0)
Machine Crunch      — W: 15×10, N: 25×6-8, 30×6-8 (RIR 0/0)
Face Pull           — W: 10×10, N: 20×8-10 (RIR 0)
Knee Raise          — extra
```

## Hevy Routine D3 — Lower weights (W2)
```
Leg Extension       — W: 40×10, N: 60×8-10, 65×8-10 (RIR 0/0)
Barbell RDL         — W: 30×8 / 40×5, N: 50×6-8, 55×6-8 (RIR 2/1)
Barbell Hip Thrust  — W: 50×10 / 60×5, N: 70×6-8, 70×6-8 (RIR 1/0)
Leg Press           — W: 40×10 / 60×6, N: 80×6-8 (RIR 0)
Calf Press          — W: 50×10, N: 80×8-10, 80×8-10 (RIR 0/0)
Knee Raise          — extra
```

## Hevy Routine D4 — Arms/Delts weights (W2)
```
Bayesian Cable Curl — W: 2.5×10, N: 5×6-8, 5×6-8 (RIR 0/0)
Overhead Triceps Ext — W: 5×10, N: 7.5×8-10, 10×8-10 (RIR 0/0)
Zottman Curl        — W: 4×10, N: 6×8-10 (RIR 0)
Cable Kickback      — W: 2.5×10, N: 3.75×8-10, 3.75×8-10 (RIR 0/0)
DB Wrist Curl       — W: 4×10, N: 8×8-10, 8×8-10 (RIR 0/0)
Alternating DB Curl — W: 4×10, N: 6×6-8 (RIR 0)
Dead Hang           — 30s + 30s
Barbell Wrist Ext   — W: 10×10, N: 15×8-10, 15×8-10 (RIR 0/0)
DB Lateral Raise    — W: 4×10, N: 6×8-10, 6×8-10 (RIR 0/0)
Knee Raise          — extra
```

## Progression Rules
- Hit top of rep range on all working sets → increase load next session
- Adding weight drops you below range → keep weight, extend rep range slightly
- RIR target wins over exact load
- Log weights + reps + actual RIR in Hevy notes
- After each W1D1/D2/D3/D4: read logs, compute next session recommendations

## Important Notes for Next Session Agent
- User prefers DIRECT, CONCISE responses
- Hevy skill at: `openclaw-imports/hevy`
- Reference file: `openclaw-imports/hevy/references/jeff-minmax-hevy.md`
- Reminder: "Pesos sugeridos desde W2 según W1. Ajustar en el momento para cumplir RIR: si quedás fuera del rango, corregí carga."
- DeepSeek V4 Pro configured as delegation model for subagents
- Session search available for past context


No linter for .md files


Explanation: Now create the kickstart prompt and save to ~/.hermes/references/kickstart-prompt.md

# Kickstart Prompt — Pipo Personal Trainer Session
# Paste this into the next Hermes chat after /reset

CARGÁ ESTO PRIMERO:
- skill hevy
- /skill hevy
- Leé `/home/ubuntu/.hermes/references/minmax-training-plan.md`

CONTEXTO:
Soy Ignacio (Chicho), 36, Buenos Aires, entreno en Open Park Club Rosedal con Andrés.
Sigo Jeff Nippard Min-Max 4-day program. Hoy es [PONER FECHA REAL].

ESTADO ACTUAL:
- Hevy routines actualizadas en folder 2826578 con orden Jeff + reemplazos + pesos W2.
- Schedule fijo desde 25/05: Lun Full Body, Mar Hatha, Mié Upper, Jue Lower, Vie Arms, Sáb yoga opcional/buffer, Dom rest.
- DeepSeek V4 Pro configurado para delegation.
- Esposa embarazada, FPP 26/06.

TAREAS PARA ESTA SESIÓN:
1. Revisar qué día es hoy y decirme qué toca según el plan.
2. Leer último workout de Hevy y darme recomendaciones de pesos/RIR para la sesión que sigue.
3. Usá delegate_task con DeepSeek para hacer una investigación exhaustiva:

   "Investigate and document the best ways to connect Hermes Agent (running on Ubuntu 24.04 ARM64 Oracle Cloud)
   with these health/fitness apps/services. For each one, determine: API availability (REST/OAuth/scraping),
   data accessible (nutrition logs, weight, steps, heart rate, sleep, workouts), integration method,
   Python/Node libraries available, authentication approach, and feasibility of read/write access.

   Apps to research:
   - MacroFactor (nutrition/calorie tracking)
   - MyFitnessPal (nutrition/calorie tracking)
   - Fitbit (activity, heart rate, sleep)
   - Google Health Connect (Android health data hub)
   - Google Fit (activity, heart points)
   - Hevy (already connected via REST API — note this)
   - Cronometer (nutrition, alternative)
   - Any health data aggregator that bridges Google Fit with nutrition apps

   For each app, provide:
   - API type and documentation URL
   - What data we can pull (specific fields)
   - Authentication method
   - Python code example skeleton
   - Feasibility score (1-5) and blockers
   - Estimated cost (free tier / paid)

   Goal: Enable Pipo to become Ignacio's 'Very Personal Trainer' — reading his daily nutrition,
   weight, activity, and sleep data, then automatically adjusting workout intensity and meal portions."

4. Con los resultados de la investigación, armame un roadmap de integración priorizado.

Recordá: respuestas directas, sin filler. Prioridad Min-Max > yoga.


Ahora el kickstart y la data completa:

Explanation:
Now let me try the delegation task. The user wants the first delegation to be exhaustive research on connecting Hermes to health apps. Let me try using delegate_task.

Actually, the delegation config was just set via `hermes config set`. The delegate_task tool should pick up the config from config.yaml. Let me try.

Actually wait - I need to be careful. The delegation might not work until /reset because the config was changed mid-session. Let me try it anyway. If it fails or uses the wrong model, I'll handle it.

Let me also create a proper skill for this health integration research so it persists.

memory

Training plan fully documented at ~/.hermes/references/minmax-training-plan.md — Hevy routines, schedule, substitutions, weights, yoga classes, rules. Kickstart prompt at ~/.hermes/references/kickstart-prompt.md for new sessions after /reset.


Memory at 1,962/2,200 chars. Adding this entry (242 chars) would exceed the limit. Replace or remove existing entries first.

If you are reading this during session startup:

Prefer `MEMORIES.md` for curated long-term memory.

Use `memory/YYYY-MM-DD.md` files for recent context.

Do not rely on `exec` just to list files that are already known.

No usar Apple, no Spotify (YouTube Music), no Trello (Asana). Audio solo si Chicho lo pide explícitamente. Ya están en el user profile, no repetir.

Myristica WA bot: repo github.com/ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel miopenclaw-vnic; Baileys→webhook→Mistral→Supabase.

2026-04-04: personal-browser-cdp skill creado. CDP via Chrome Windows + SSH tunnel. lanacion.com.ar usa browser_press key='End' (no scroll normal). Login La Nación es overlay con email/social.

Hermes WebUI: session deletion permanent. Code survives as git changes in ~/hermes-webui/. Session JSONs gone.

Chicho: directo, sin vueltas. Ubuntu ARM64 Oracle Cloud. WebUI ~/hermes-webui ~3000 líneas uncommitted. Bug api/routes.py: if val is None and val == '' debe ser 'or'.

2026-04-30: Lección clave de Chicho — Cuando algo falla (anti-bot, modelo, config), NO poner excusas. Buscar plan B/C/D sin rodeos. Camoufox para scraping anti-DataDome, Gemini 3.0 Flash para vision, skill-switching para limitaciones. Soluciones > explicaciones. También: vision config fijada a `google/gemini-3-flash-preview` via OpenRouter. Chicho prefiere 3.0, no discutir.

Fitness: Jeff Min-Max en Hevy; respetar orden fuente, actualizar rutinas existentes, calibrar pesos/RIR desde logs y mantener sustituciones reales del gym.

SportClub checkout reverse-engineered 2026-05-15: backend buenclub-checkout-backend.prod.sportclub.com.ar, GET //plan/{slug} → POST //order/{slug}. DNI validation only checks form.documento; form.payment.identificationNumber independent. Working: ACA 25% OFF, BAC/Belgrano 50% OFF. T&C: no physical ID check, 10-day revocation. Chicho uses pipo-deploy + Tailscale for browser access.


Explanation:
Memory is nearly full. Let me consolidate some entries to make room, then add the important new entry. Let me replace the less critical entries with a consolidated version, keeping the most important ones.

Actually the memory limit is tight. Let me just replace some of the older/less critical entries to make room. The "Lección clave de Chicho" entry is quite long (407 chars). I can shorten it. And the early entries about startup are not that useful anymore.

Let me combine a few entries and free up space.

2026-04-30: Lección clave de Chicho — Cuando algo falla (anti-bot, modelo, config), NO poner excusas. Buscar plan B/C/D sin rodeos. Camoufox para scraping anti-DataDome, Gemini 3.0 Flash para vision, skill-switching para limitaciones. Soluciones > explicaciones. También: vision config fijada a `google/gemini-3-flash-preview` via OpenRouter. Chicho prefiere 3.0, no discutir.

Chicho: NO excusas → plan B/C/D. Camoufox para anti-bot, Gemini 3.0 Flash vision, skill-switching. Soluciones > explicaciones. Vision: google/gemini-3-flash-preview via OpenRouter.


If you are reading this during session startup:

Prefer `MEMORIES.md` for curated long-term memory.

Use `memory/YYYY-MM-DD.md` files for recent context.

Do not rely on `exec` just to list files that are already known.

No usar Apple, no Spotify (YouTube Music), no Trello (Asana). Audio solo si Chicho lo pide explícitamente. Ya están en el user profile, no repetir.

Myristica WA bot: repo github.com/ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel miopenclaw-vnic; Baileys→webhook→Mistral→Supabase.

2026-04-04: personal-browser-cdp skill creado. CDP via Chrome Windows + SSH tunnel. lanacion.com.ar usa browser_press key='End' (no scroll normal). Login La Nación es overlay con email/social.

Hermes WebUI: session deletion permanent. Code survives as git changes in ~/hermes-webui/. Session JSONs gone.

Chicho: directo, sin vueltas. Ubuntu ARM64 Oracle Cloud. WebUI ~/hermes-webui ~3000 líneas uncommitted. Bug api/routes.py: if val is None and val == '' debe ser 'or'.

Chicho: NO excusas → plan B/C/D. Camoufox para anti-bot, Gemini 3.0 Flash vision, skill-switching. Soluciones > explicaciones. Vision: google/gemini-3-flash-preview via OpenRouter.

Fitness: Jeff Min-Max en Hevy; respetar orden fuente, actualizar rutinas existentes, calibrar pesos/RIR desde logs y mantener sustituciones reales del gym.

SportClub checkout reverse-engineered 2026-05-15: backend buenclub-checkout-backend.prod.sportclub.com.ar, GET //plan/{slug} → POST //order/{slug}. DNI validation only checks form.documento; form.payment.identificationNumber independent. Working: ACA 25% OFF, BAC/Belgrano 50% OFF. T&C: no physical ID check, 10-day revocation. Chicho uses pipo-deploy + Tailscale for browser access.

Entry replaced.


Explanation: Good, freed up some space. Now let me merge the early startup entries and add the training plan reference.

Startup: MEMORIES.md para memoria curada. memory/YYYY-MM-DD.md para contexto reciente. No usar exec para listar archivos ya conocidos.

If you are reading this during session startup:
Prefer `MEMORIES.md` for curated long-term memory.
Use `memory/YYYY-MM-DD.md` files for recent context.
Do not rely on `exec` just to list files that are already known.


No entry matched 'If you are reading this during session startup:
Prefer `MEMORIES.md` for curated long-term memory.
Use `memory/YYYY-MM-DD.md` files for recent context.
Do not rely on `exec` just to list files that are already known.'.


Explanation: The multi-line search didn't match. Let me try with just the first line.

Startup: MEMORIES.md para memoria curada. memory/YYYY-MM-DD.md para contexto reciente. No usar exec para listar archivos conocidos. No Apple, YouTubeMusic, Asana. Audio solo si Chicho pide. Ya en user profile. Myristica WA bot: repo ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel. Baileys→webhook→Mistral→Supabase.

If you are reading this during session startup:


Startup: MEMORIES.md para memoria curada. memory/YYYY-MM-DD.md para contexto reciente. No usar exec para listar archivos conocidos. No Apple, YouTubeMusic, Asana. Audio solo si Chicho pide. Ya en user profile. Myristica WA bot: repo ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel. Baileys→webhook→Mistral→Supabase.

Entry replaced.


Explanation: Now I need to remove the duplicate entries. Let me remove the older dupes.

Prefer `MEMORIES.md` for curated long-term memory.


Entry removed.


Explanation: response

Use `memory/YYYY-MM-DD.md` files for recent context.


[System note: Your previous turn was interrupted before you could process the last tool result(s). The conversation history contains tool outputs you haven't responded to yet. Please finish processing those results and summarize what was accomplished, then address the user's new message below.]

[nachlakes] No. Para ahora. No se traba nada y vos no ejecutas. No te quedo claro? Pará. Dame el prompt. Reseteo y delegas.


Tenés razón. Acá está:

---

## Kickstart prompt para después de `/reset`

Copiá y pegalo:

```
CARGÁ ESTO PRIMERO:
- /skill hevy
- Leé /home/ubuntu/.hermes/references/minmax-training-plan.md

CONTEXTO:
Soy Ignacio (Chicho), 36, Buenos Aires, entreno en Open Park Club Rosedal con Andrés.
Sigo Jeff Nippard Min-Max 4-day program. Hoy es jueves 15/05/2026.

ESTADO:
- Hevy routines actualizadas en folder 2826578, orden Jeff, pesos W2.
- Schedule fijo: Lun Full Body, Mar Hatha 15:00, Mié Upper, Jue Lower, Vie Arms, Sáb yoga opcional, Dom rest.
- DeepSeek V4 Pro configurado para delegation.
- Esposa embarazada, FPP 26/06.

PRIMERA TAREA — DELEGACIÓN:
Usá delegate_task con DeepSeek para investigar cómo conectar Hermes con estas apps de salud:

1. MacroFactor (nutrición) — tiene API reverse-engineered vía Firestore, repo github.com/sjawhar/macrofactor
2. MyFitnessPal (nutrición) — API OAuth2 en myfitnesspalapi.com
3. Fitbit (actividad, sueño, frecuencia cardíaca) — Web API OAuth2 en dev.fitbit.com
4. Google Health Connect (hub de datos Android) — on-device, sin API cloud directa
5. Google Fit (actividad) — REST API, pero deprecándose, migra a Health Connect/Google Health API
6. Cronometer (nutrición) — sin API pública oficial, hay MCP reverse-engineered
7. Hevy — ya conectado

Para cada app: API type, doc URL, datos accesibles, auth, código Python esqueleto, factibilidad (1-5), costo.

Objetivo: que Pipo sea mi "Very Personal Trainer" — leyendo mi nutrición, peso, actividad y sueño, ajustando entrenamiento y porciones automáticamente.
```

---

Cuando termines el `/reset`, pegá eso y la delegación corre con DeepSeek. Yo en la nueva sesión sigo desde ahí.

Explanation:
The user is clearly frustrated. He wants me to STOP executing things myself and just:

1. Give him the kickstart prompt
2. He'll do /reset himself
3. Then HE will delegate (or I will after reset)

He's saying "No. Para ahora. No se traba nada y vos no ejecutas." - Stop now. Nothing is stuck and you don't execute. Give me the prompt. Reset and delegate.

He wants the prompt I created earlier at `/home/ubuntu/.hermes/references/kickstart-prompt.md`. Let me give him that directly.