✅ New session started · model: anthropic/claude-sonnet-4-6 (default: zai/glm-5)


A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.


Let me read the required files as per the boot sequence in AGENTS.md.


# Learnings

One-line rules learned from mistakes. Read these every session.

## Format
- [YYYY-MM-DD] Category: Lesson learned

## Rules
<!-- Add new rules below this line -->


# Memory Log - Sunday, March 1st, 2026

## Email Check
- `/opt/agentmail/queue/` is empty - no new emails to process

## Network Status
- No alerts or issues detected
- Omada controller operational

## HANDOVER
- **Discussed**: Heartbeat check at 5:22 AM UTC
- **Decided**: No action required
- **Pending**: None
- **Next**: Await next cron job or user request


HEARTBEAT OK
- Checked HEARTBEAT.md: email check required
- Checked /opt/agentmail/queue/ for _clinker.json files: none found
- No pending work


🔧 Clinker online. Network looks quiet — no pending emails, no open incidents. Running on Sonnet 4.6 (default is GLM-5, FYI). What do you need?


Conversation info (untrusted metadata):
```json
{
  "timestamp": "Mon 2026-03-02 00:00 UTC"
}
```

Ok we need to remove Gemini 3 Pro from the models list in full. Leave Gemini 3 flash. We just had a 500$ API bill from using the wrong model


Chad wants to remove Gemini 3 Pro from the models list in the OpenClaw config. Let me get the current config first.


Claude Opus 4.6

Input: text image

Claude Sonnet 4.6

Input: text image

Claude Sonnet 4.5

Input: text image

Claude Haiku 4.5

Input: text image

Gemini 3 Flash

Input: text image

GLM 4.7

Input: text

Input: text

Input: text

GLM-4.7 Flash

Input: text

GLM-4.7 FlashX

Input: text

MiniMax M2.1

Input: text

MiniMax M2.1 Lightning

Input: text

MiniMax M2.5

Input: text

MiniMax M2.5 Lightning

Input: text

Claude Opus 4.6 (Copilot)

Input: text image

Claude Opus 4.6 Fast (Copilot)

Input: text image

Claude Opus 4.5 (Copilot)

Input: text image

Claude Sonnet 4.6 (Copilot)

Input: text image

Claude Sonnet 4.5 (Copilot)

Input: text image

Claude Sonnet 4 (Copilot)

Input: text image

Claude Haiku 4.5 (Copilot)

Input: text image

GPT-5 (Copilot)

Input: text image

GPT-4o (Copilot)

Input: text image

Gemini 3 Pro (Copilot)

Input: text image

Gemini 3 Flash (Copilot)

Input: text image

Qwen3.5 35B-A3B (200K, Vision)

Input: text image

Qwen3.5 27B

Input: text

Qwen3.5 27B Vision

Input: text image

Nemotron 3 Nano 30B

Input: text

GLM 4.7 Flash

Input: text

Nanbeige 4.1 3B (Reasoner)

Input: text

Prompt: Write key decisions, state changes, blockers, and artifacts to memory/YYYY-MM-DD.md. Format: ## [HH:MM] Topic. Update TASKS.md status if any tasks changed. Reply NO_REPLY if nothing worth storing.

Session nearing compaction. Extract only durable state: decisions, blockers, artifacts, state changes. No fluff.

grant maya magoo ghc-marketing cannadeals-marketing cardone clinker mark-twain carl selena

memory-core telegram minimax-portal-auth email

Claude Opus 4.6

Input: text image

Claude Sonnet 4.6

Input: text image

Claude Sonnet 4.5

Input: text image

Claude Haiku 4.5

Input: text image

Gemini 3 Flash

Input: text image

GLM 4.7

Input: text

Input: text

Input: text

GLM-4.7 Flash

Input: text

GLM-4.7 FlashX

Input: text

MiniMax M2.1

Input: text

MiniMax M2.1 Lightning

Input: text

MiniMax M2.5

Input: text

MiniMax M2.5 Lightning

Input: text

Claude Opus 4.6 (Copilot)

Input: text image

Claude Opus 4.6 Fast (Copilot)

Input: text image

Claude Opus 4.5 (Copilot)

Input: text image

Claude Sonnet 4.6 (Copilot)

Input: text image

Claude Sonnet 4.5 (Copilot)

Input: text image

Claude Sonnet 4 (Copilot)

Input: text image

Claude Haiku 4.5 (Copilot)

Input: text image

GPT-5 (Copilot)

Input: text image

GPT-4o (Copilot)

Input: text image

Gemini 3 Pro (Copilot)

Input: text image

Gemini 3 Flash (Copilot)

Input: text image

Qwen3.5 35B-A3B (200K, Vision)

Input: text image

Qwen3.5 27B

Input: text

Qwen3.5 27B Vision

Input: text image

Nemotron 3 Nano 30B

Input: text

GLM 4.7 Flash

Input: text

Nanbeige 4.1 3B (Reasoner)

Input: text

Prompt: Write key decisions, state changes, blockers, and artifacts to memory/YYYY-MM-DD.md. Format: ## [HH:MM] Topic. Update TASKS.md status if any tasks changed. Reply NO_REPLY if nothing worth storing.

Claude Opus 4.6

Input: text image

Claude Sonnet 4.6

Input: text image

Claude Sonnet 4.5

Input: text image

Claude Haiku 4.5

Input: text image

Gemini 3 Flash

Input: text image

GLM 4.7

Input: text

Input: text

Input: text

GLM-4.7 Flash

Input: text

GLM-4.7 FlashX

Input: text

MiniMax M2.1

Input: text

MiniMax M2.1 Lightning

Input: text

MiniMax M2.5

Input: text

MiniMax M2.5 Lightning

Input: text

Claude Opus 4.6 (Copilot)

Input: text image

Claude Opus 4.6 Fast (Copilot)

Input: text image

Claude Opus 4.5 (Copilot)

Input: text image

Claude Sonnet 4.6 (Copilot)

Input: text image

Claude Sonnet 4.5 (Copilot)

Input: text image

Claude Sonnet 4 (Copilot)

Input: text image

Claude Haiku 4.5 (Copilot)

Input: text image

GPT-5 (Copilot)

Input: text image

GPT-4o (Copilot)

Input: text image

Gemini 3 Pro (Copilot)

Input: text image

Gemini 3 Flash (Copilot)

Input: text image

Qwen3.5 35B-A3B (200K, Vision)

Input: text image

Qwen3.5 27B

Input: text

Qwen3.5 27B Vision

Input: text image

Nemotron 3 Nano 30B

Input: text

GLM 4.7 Flash

Input: text

Nanbeige 4.1 3B (Reasoner)

Input: text

Prompt: Write key decisions, state changes, blockers, and artifacts to memory/YYYY-MM-DD.md. Format: ## [HH:MM] Topic. Update TASKS.md status if any tasks changed. Reply NO_REPLY if nothing worth storing.

Claude Opus 4.6

Input: text image

Claude Sonnet 4.6

Input: text image

Claude Sonnet 4.5

Input: text image

Claude Haiku 4.5

Input: text image

Gemini 3 Flash

Input: text image

GLM 4.7

Input: text

Input: text

Input: text

GLM-4.7 Flash

Input: text

GLM-4.7 FlashX

Input: text

MiniMax M2.1

Input: text

MiniMax M2.1 Lightning

Input: text

MiniMax M2.5

Input: text

MiniMax M2.5 Lightning

Input: text

Claude Opus 4.6 (Copilot)

Input: text image

Claude Opus 4.6 Fast (Copilot)

Input: text image

Claude Opus 4.5 (Copilot)

Input: text image

Claude Sonnet 4.6 (Copilot)

Input: text image

Claude Sonnet 4.5 (Copilot)

Input: text image

Claude Sonnet 4 (Copilot)

Input: text image

Claude Haiku 4.5 (Copilot)

Input: text image

GPT-5 (Copilot)

Input: text image

GPT-4o (Copilot)

Input: text image

Gemini 3 Pro (Copilot)

Input: text image

Gemini 3 Flash (Copilot)

Input: text image

Qwen3.5 35B-A3B (200K, Vision)

Input: text image

Qwen3.5 27B

Input: text

Qwen3.5 27B Vision

Input: text image

Nemotron 3 Nano 30B

Input: text

GLM 4.7 Flash

Input: text

Nanbeige 4.1 3B (Reasoner)

Input: text

Prompt: Write key decisions, state changes, blockers, and artifacts to memory/YYYY-MM-DD.md. Format: ## [HH:MM] Topic. Update TASKS.md status if any tasks changed. Reply NO_REPLY if nothing worth storing.

Claude Opus 4.6

Input: text image

Claude Sonnet 4.6

Input: text image

Claude Sonnet 4.5

Input: text image

Claude Haiku 4.5

Input: text image

Gemini 3 Flash

Input: text image

GLM 4.7

Input: text

Input: text

Input: text

GLM-4.7 Flash

Input: text

GLM-4.7 FlashX

Input: text

MiniMax M2.1

Input: text

MiniMax M2.1 Lightning

Input: text

MiniMax M2.5

Input: text

MiniMax M2.5 Lightning

Input: text

Claude Opus 4.6 (Copilot)

Input: text image

Claude Opus 4.6 Fast (Copilot)

Input: text image

Claude Opus 4.5 (Copilot)

Input: text image

Claude Sonnet 4.6 (Copilot)

Input: text image

Claude Sonnet 4.5 (Copilot)

Input: text image

Claude Sonnet 4 (Copilot)

Input: text image

Claude Haiku 4.5 (Copilot)

Input: text image

GPT-5 (Copilot)

Input: text image

GPT-4o (Copilot)

Input: text image

Gemini 3 Pro (Copilot)

Input: text image

Gemini 3 Flash (Copilot)

Input: text image

Qwen3.5 35B-A3B (200K, Vision)

Input: text image

Qwen3.5 27B

Input: text

Qwen3.5 27B Vision

Input: text image

Nemotron 3 Nano 30B

Input: text

GLM 4.7 Flash

Input: text

Nanbeige 4.1 3B (Reasoner)

Input: text

Prompt: Write key decisions, state changes, blockers, and artifacts to memory/YYYY-MM-DD.md. Format: ## [HH:MM] Topic. Update TASKS.md status if any tasks changed. Reply NO_REPLY if nothing worth storing.

Claude Opus 4.6

Input: text image

Claude Sonnet 4.6

Input: text image

Claude Sonnet 4.5

Input: text image

Claude Haiku 4.5

Input: text image

Gemini 3 Flash

Input: text image

GLM 4.7

Input: text

Input: text

Input: text

GLM-4.7 Flash

Input: text

GLM-4.7 FlashX

Input: text

MiniMax M2.1

Input: text

MiniMax M2.1 Lightning

Input: text

MiniMax M2.5

Input: text

MiniMax M2.5 Lightning

Input: text

Claude Opus 4.6 (Copilot)

Input: text image

Claude Opus 4.6 Fast (Copilot)

Input: text image

Claude Opus 4.5 (Copilot)

Input: text image

Claude Sonnet 4.6 (Copilot)

Input: text image

Claude Sonnet 4.5 (Copilot)

Input: text image

Claude Sonnet 4 (Copilot)

Input: text image

Claude Haiku 4.5 (Copilot)

Input: text image

GPT-5 (Copilot)

Input: text image

GPT-4o (Copilot)

Input: text image

Gemini 3 Pro (Copilot)

Input: text image

Gemini 3 Flash (Copilot)

Input: text image

Qwen3.5 35B-A3B (200K, Vision)

Input: text image

Qwen3.5 27B

Input: text

Qwen3.5 27B Vision

Input: text image

Nemotron 3 Nano 30B

Input: text

GLM 4.7 Flash

Input: text

Nanbeige 4.1 3B (Reasoner)

Input: text

Prompt: Write key decisions, state changes, blockers, and artifacts to memory/YYYY-MM-DD.md. Format: ## [HH:MM] Topic. Update TASKS.md status if any tasks changed. Reply NO_REPLY if nothing worth storing.

Claude Opus 4.6

Input: text image

Claude Sonnet 4.6

Input: text image

Claude Sonnet 4.5

Input: text image

Claude Haiku 4.5

Input: text image

Gemini 3 Flash

Input: text image

GLM 4.7

Input: text

Input: text

Input: text

GLM-4.7 Flash

Input: text

GLM-4.7 FlashX

Input: text

MiniMax M2.1

Input: text

MiniMax M2.1 Lightning

Input: text

MiniMax M2.5

Input: text

MiniMax M2.5 Lightning

Input: text

Claude Opus 4.6 (Copilot)

Input: text image

Claude Opus 4.6 Fast (Copilot)

Input: text image

Claude Opus 4.5 (Copilot)

Input: text image

Claude Sonnet 4.6 (Copilot)

Input: text image

Claude Sonnet 4.5 (Copilot)

Input: text image

Claude Sonnet 4 (Copilot)

Input: text image

Claude Haiku 4.5 (Copilot)

Input: text image

GPT-5 (Copilot)

Input: text image

GPT-4o (Copilot)

Input: text image

Gemini 3 Pro (Copilot)

Input: text image

Gemini 3 Flash (Copilot)

Input: text image

Qwen3.5 35B-A3B (200K, Vision)

Input: text image

Qwen3.5 27B

Input: text

Qwen3.5 27B Vision

Input: text image

Nemotron 3 Nano 30B

Input: text

GLM 4.7 Flash

Input: text

Nanbeige 4.1 3B (Reasoner)

Input: text

Prompt: Write key decisions, state changes, blockers, and artifacts to memory/YYYY-MM-DD.md. Format: ## [HH:MM] Topic. Update TASKS.md status if any tasks changed. Reply NO_REPLY if nothing worth storing.

Claude Opus 4.6

Input: text image

Claude Sonnet 4.6

Input: text image

Claude Sonnet 4.5

Input: text image

Claude Haiku 4.5

Input: text image

Gemini 3 Flash

Input: text image

GLM 4.7

Input: text

Input: text

Input: text

GLM-4.7 Flash

Input: text

GLM-4.7 FlashX

Input: text

MiniMax M2.1

Input: text

MiniMax M2.1 Lightning

Input: text

MiniMax M2.5

Input: text

MiniMax M2.5 Lightning

Input: text

Claude Opus 4.6 (Copilot)

Input: text image

Claude Opus 4.6 Fast (Copilot)

Input: text image

Claude Opus 4.5 (Copilot)

Input: text image

Claude Sonnet 4.6 (Copilot)

Input: text image

Claude Sonnet 4.5 (Copilot)

Input: text image

Claude Sonnet 4 (Copilot)

Input: text image

Claude Haiku 4.5 (Copilot)

Input: text image

GPT-5 (Copilot)

Input: text image

GPT-4o (Copilot)

Input: text image

Gemini 3 Pro (Copilot)

Input: text image

Gemini 3 Flash (Copilot)

Input: text image

Qwen3.5 35B-A3B (200K, Vision)

Input: text image

Qwen3.5 27B

Input: text

Qwen3.5 27B Vision

Input: text image

Nemotron 3 Nano 30B

Input: text

GLM 4.7 Flash

Input: text

Nanbeige 4.1 3B (Reasoner)

Input: text

Prompt: Write key decisions, state changes, blockers, and artifacts to memory/YYYY-MM-DD.md. Format: ## [HH:MM] Topic. Update TASKS.md status if any tasks changed. Reply NO_REPLY if nothing worth storing.


I need to remove `google/gemini-3-pro-preview` from two places:
1. `models.providers.google` - but looking at the config, the google provider already only has `gemini-3-flash-preview`. There's no `gemini-3-pro-preview` in the google provider models list.
2. `agents.defaults.models` - has `"google/gemini-3-pro-preview": {}` entry
3. `models.providers.copilot.models` - has `gemini-3-pro-preview` entry

Also need to remove the `gemini` alias from the MEMORY.md system aliases section, but that's not a config file.

Let me check if the nano-banana-pro skill references Gemini 3 Pro Image. I'll use `config.patch` to surgically remove the entries from `agents.defaults.models` and `models.providers.copilot.models`.

Actually, since `config.patch` does a deep merge, it might not cleanly support deletions. I should edit the config file directly at `/home/crogers2287/.openclaw/openclaw.json` to remove the `"google/gemini-3-pro-preview": {}` entry from agents defaults and the corresponding model from the copilot provider, then restart. I need to remove the Gemini 3 Pro model from two places in the config - first from the agents defaults, then from the copilot models array. I also notice the `gemini` alias in the system prompt points to this model, but that's generated by OpenClaw so I'll handle the config file edits directly.

Found it. Gemini 3 Pro appears in two places:
1. `agents.defaults.models` — `google/gemini-3-pro-preview` entry
2. `models.providers.copilot.models` — `gemini-3-pro-preview` model

Patching both out now.

edit

        "google/gemini-3-flash-preview": {},
        "google/gemini-3-pro-preview": {},
        "google/gemini-2.5-flash-lite": {},

        "google/gemini-3-flash-preview": {},
        "google/gemini-2.5-flash-lite": {},


File not found: /home/crogers2287/.openclaw/openclaw.json


exec

find /home/crogers2287/.openclaw -name "openclaw.json" 2>/dev/null; find /home/crogers2287 -maxdepth 3 -name "openclaw.json" 2>/dev/null


/home/crogers2287/.openclaw/openclaw.json
/home/crogers2287/.openclaw/openclaw.json


cat /home/crogers2287/.openclaw/openclaw.json | python3 -c "
import json, sys
cfg = json.load(sys.stdin)

# Remove from agents.defaults.models
models = cfg['agents']['defaults']['models']
if 'google/gemini-3-pro-preview' in models:
    del models['google/gemini-3-pro-preview']
    print('Removed google/gemini-3-pro-preview from agents.defaults.models')

# Remove from copilot models
copilot_models = cfg['models']['providers']['copilot']['models']
before = len(copilot_models)
cfg['models']['providers']['copilot']['models'] = [m for m in copilot_models if m['id'] != 'gemini-3-pro-preview']
after = len(cfg['models']['providers']['copilot']['models'])
print(f'Copilot models: removed {before - after} entry')

with open('/home/crogers2287/.openclaw/openclaw.json', 'w') as f:
    json.dump(cfg, f, indent=2)
print('Done')
"


Removed google/gemini-3-pro-preview from agents.defaults.models
Copilot models: removed 1 entry
Done


gateway

Gemini 3 Pro removed from models list — removed from agents.defaults.models and copilot provider. Gemini 3 Flash untouched.


Done. Removed `google/gemini-3-pro-preview` from:
- `agents.defaults.models` (was selectable as the `gemini` alias)
- `models.providers.copilot.models` (Gemini 3 Pro Copilot entry)

Gemini 3 Flash is untouched. Gateway restarting now — the model won't show up in any `/model` picker going forward.


Conversation info (untrusted metadata):
```json
{
  "timestamp": "Mon 2026-03-02 00:03 UTC"
}
```

What model did you install on the Jetson nano?


Let me search memory for Jetson nano model installation.

Question: Jetson Nano model installed


still not really working Marcus Twain, [2/25/2026 10:36 AM] Model "local/qwej" is not allowed. Use /models to list providers, or /models <provider> to list models. Skinny, [2/25/2026 10:36 AM] Marcus Twain, [2/25/2026 10:36 AM] Model reset to default (qwen (local/qwen3.5-35b-a3b)). Skinny, [2/25/2026 10:36 AM] hello Skinny, [2/25/2026 10:38 AM] helllo Skinny, [2/25/2026 10:38 AM] /new Marcus Twain, [2/25/2026 10:39 AM] ✅ New session started · model: local/qwen3.5-35b-a3b Skinny, [2/25/2026 10:39 AM] /model qwen Marcus Twain, [2/25/2026 10:39 AM] What are you working on today, Chad? Skinny, [2/25/2026 10:39 AM] hello Marcus Twain, [2/25/2026 10:39 AM] What are you working on today, Chad? Marc

Source: memory/2026-02-25-1554.md#L114-L142

# Session: 2026-02-25 15:54:34 UTC

- **Session Key**: agent:clinker:main:thread:12775
- **Session ID**: 7ce06b15-a368-4cdb-bf12-1e515a288e41
- **Source**: telegram

## Conversation Summary

user: System: [2026-02-25 15:35:20 UTC] Exec completed (ember-bi, code 0) :: memory.used [MiB] 2331 MiB 1807 MiB Nemotron-3-Nano-30B-A3B-UD-Q6_K_XL cydonia-24b embeddinggemma-300m glm-4.7-flash glm47reap heretic nanbeige-reasoner nvidia-orchestrator-8b our…
System: [2026-02-25 15:36:32 UTC] Exec completed (mellow-b, code 0) :: s": 9, "total_tokens": 19 }, "id": "chatcmpl-SpIfdmzIYxuKnJEhz7KQbXBwCOtfUBsD", "timings": { "cache_n": 0, "prompt_n": 9, "prompt_ms": 105.423, "prompt_per_token_ms": 11.713666666…

Source: memory/2026-02-25-1554.md#L1-L27

- **Tested:** list_devices, get_ssids, get_dashboard all working
- **Reference:** Full tool list and SSID IDs in TOOLS.md

### Project Ouroboros v2 (Added 2026-02-19)
- **Location:** /home/crogers2287/ouroboros-v2/
- **Architecture:** Hybrid multi-model agent on Spacebot
- **Local model:** Nemotron 3 Nano 30B A3B Q6_K GGUF via llama-swap on port 9069
- **FP8 won't work:** RTX 3090 = compute cap 86, FP8 (modelopt) needs 89+ (Ada)
- **FP8 weights downloaded:** /mnt/storage/hf/huggingface/hub/models--nvidia--NVIDIA-Nemotron-3-Nano-30B-A3B-FP8/ (31GB, unusable on 3090s)
- **Routing:** Nemotron (local, $0) for conversation, GLM-5 (cloud) for coding/tools
- **Spacebot agent:** `ouroboros` in /mnt/

Source: MEMORY.md#L153-L179

/model copilot/claude-opus-4.6
```

Or type `/status` to confirm it's already set as default. If the model list in the UI still doesn't show copilot models, try `/reload` or fully restart the gateway:
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "714",
  "sender": "6558388607"
}
```

no im talking about in copilot
assistant: The OpenClaw config only has 2 copilot models defined. Let me add all of them:
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "716",
  "sender": "6558388607"
}
```

nevermind
assistant: Got it. Let me save this setup to memory before I forget:
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "717"

Source: memory/2026-02-18-copilot-proxy.md#L27-L72

The reason it kept trying to use Nanbeige is that one of OpenClaw's internal tools (likely the memory search or a hidden fallback in the Marcus/Twain unit) had the word `nanbeige` hard-coded as its target ID.

### The Fix
1.  **Alias Hijack**: I've re-assigned the `nanbeige` alias to point directly to `local/qwen3.5-35b-a3b`.
2.  **Redirection**: Now, whenever OpenClaw or any tool asks for "Nanbeige", your system will transparently serve the fast **Qwen3.5-35B-A3B** model instead.
3.  **Legacy Renamed**: The actual Nanbeige model is still there but is now aliased to `nanbeige-legacy` so it won't be triggered accidentally.

**Current `openclaw models list` verified:**
*   `local/qwen3.5-35b-

Source: memory/2026-02-25-1554.md#L24-L45

# Session: 2026-02-19 12:55:09 UTC

- **Session Key**: agent:clinker:main
- **Session ID**: 6a83024a-b14f-414e-84a9-8814c283466c
- **Source**: telegram

## Conversation Summary

assistant: That SSH key was set up in administrators_authorized_keys. Let me check if I have the matching private key:
assistant: I have the private key. Let me SSH into Desktop2025 now:
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "857",
  "sender": "6558388607"
}
```

Save this connection information to your persistent memory, please.
assistant: Connected! Saving to persistent memory:
assistant: Now let me flash the ESP32. I'll SSH in and use esptool:
assistant: Found USB serial devices.

Source: memory/2026-02-19-1255.md#L1-L43

qmd query Jetson Nano model installed --json -n 6 -c memory-root-clinker failed (code null): Warning: 119 documents (95%) need embeddings. Run 'qmd embed' for better results.
[node-llama-cpp] ggml_backend_cuda_buffer_type_alloc_buffer: allocating 1218.02 MiB on device 0: cudaMalloc failed: out of memory
[node-llama-cpp] ggml_gallocr_reserve_n_impl: failed to allocate CUDA0 buffer of size 1277190144
[node-llama-cpp] graph_reserve: failed to allocate compute buffers
[node-llama-cpp] ggml_backend_cuda_buffer_type_alloc_buffer: allocating 1014.51 MiB on device 0: cudaMalloc failed: out of memory
[node-llama-cpp] ggml_gallocr_reserve_n_impl: failed to allocate CUDA0 buffer of size 1063786496
[node-llama-cpp] graph_reserve: failed to allocate compute buffers
[node-llama-cpp] llama_init_from_model: failed to initialize the context: failed to allocate compute pp buffers
[node-llama-cpp] ggml_backend_cuda_buffer_type_alloc_buffer: allocating 1038.02 MiB on device 0: cudaMalloc failed: out of memory
[node-llama-cpp] ggml_gallocr_reserve_n_impl: failed to allocate CUDA0 buffer of size 1088446464
[node-llama-cpp] graph_reserve: failed to allocate compute buffers
[node-llama-cpp] ggml_backend_cuda_buffer_type_alloc_buffer: allocating 861.51 MiB on device 0: cudaMalloc failed: out of memory
[node-llama-cpp] ggml_gallocr_reserve_n_impl: failed to allocate CUDA0 buffer of size 903354368
[node-llama-cpp] graph_reserve: failed to allocate compute buffers
[node-llama-cpp] llama_init_from_model: failed to initialize the context: failed to allocate compute pp buffers
[node-llama-cpp] ggml_backend_cuda_buffer_type_alloc_buffer: allocating 878.02 MiB on device 0: cudaMalloc failed: out of memory
[node-llama-cpp] ggml_gallocr_reserve_n_impl: failed to allocate CUDA0 buffer of size 920674304
[node-llama-cpp] graph_reserve: failed to allocate compute buffers
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/llama.cpp/ggml/src/ggml-cuda/ggml-cuda.cu:96: CUDA error
[node-llama-cpp] CUDA error: the resource allocation failed
[node-llama-cpp]   current device: 0, in function cublas_handle at /home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/llama.cpp/ggml/src/ggml-cuda/../ggml-cuda/common.cuh:1392
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-base.so(+0x1826b)[0x7a202022226b]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-base.so(ggml_print_backtrace+0x21c)[0x7a20202226cc]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-base.so(ggml_abort+0x15b)[0x7a20202228ab]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-cuda.so(+0x151357)[0x7a0f68d51357]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-cuda.so(+0x15cb84)[0x7a0f68d5cb84]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-cuda.so(+0x1614e5)[0x7a0f68d614e5]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-cuda.so(+0x165553)[0x7a0f68d65553]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-cuda.so(+0x167592)[0x7a0f68d67592]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libggml-base.so(ggml_backend_sched_graph_compute_async+0x817)[0x7a20202403b7]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libllama.cuda.b7836.so(_ZN13llama_context13graph_computeEP11ggml_cgraphb+0xa1)[0x7a2005cbc441]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libllama.cuda.b7836.so(_ZN13llama_context14process_ubatchERK12llama_ubatch14llm_graph_typeP22llama_memory_context_iR11ggml_status+0x114)[0x7a2005cbdf04]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libllama.cuda.b7836.so(_ZN13llama_context6decodeERK11llama_batch+0x435)[0x7a2005cc56a5]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/libllama.cuda.b7836.so(llama_decode+0xf)[0x7a2005cc6f4f]
[node-llama-cpp]   cublasCreate_v2(&cublas_handles[device])
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/llama-addon.node(_ZN29AddonContextDecodeBatchWorker7ExecuteEv+0x6c)[0x7a20202fab8c]
/home/crogers2287/.bun/install/global/node_modules/node-llama-cpp/llama/localBuilds/linux-x64-cuda/Release/llama-addon.node(_ZN4Napi11AsyncWorker18OnAsyncWorkExecuteEP10napi_env__Pv+0x31)[0x7a20202fa651]
/home/crogers2287/.bun/bin/bun[0x2e7b0bb]


The memory search didn't find anything specific about a Jetson Nano model installation. Let me search more specifically.

Question: Jetson Nano AI model deployment edge device


### Desktop2025 SSH Access (Added 2026-02-19)
- **Host:** desktop2025.taile5e8a3.ts.net (Tailscale)
- **IP:** 100.87.125.22
- **User:** croge
- **Auth:** SSH key ~/.ssh/id_rsa (RSA)
- **Status:** Windows 11, OpenSSH server, active
- **Usage:** `ssh -i ~/.ssh/id_rsa croge@desktop2025.taile5e8a3.ts.net`
- **SSH Config:**
  ```
  Host desktop2025 desktop2025.taile5e8a3.ts.net 100.87.125.22
      HostName desktop2025.taile5e8a3.ts.net
      User croge
      StrictHostKeyChecking no
      UserKnownHostsFile=/dev/null
  ```

### Spacebot Z.AI Endpoint Fix (2026-02-20)
- **Bug**: spacebot used `api.z.ai/api/paas/v4/` — Pro coding plan keys only work on `api.z.ai/api/coding/paas/v4/`
- **Fix**: one-

Source: MEMORY.md#L171-L204

### Spacebot Email Integration (2026-02-20)
- Waffleson: `waffleson@teamcfr.com`, queue `*_waffleson.json`
- Ouroboros: `ouro@teamcfr.com`, queue `*_ouro.json`
- Volume: `/opt/agentmail:/opt/agentmail:rw` mounted in docker-compose
- Email-check cron (300s) added directly to each agent's `spacebot.db`

### Nanbeige 4.1 3B Fix (Added 2026-02-23)
- **Problem:** Model outputs to `reasoning_content` instead of `content`, never finishes thinking
- **Solution:** Custom chat template that adds `</think>` at start of assistant generation
- **Template:** `/home/crogers2287/llama-swap/nanbeige-nothink.jinja`
- **Config:** `--chat-template-file /home/crogers2287/llama-swap/nanbeige-nothink.jinja`
- **Re

Source: MEMORY.md#L198-L233

Are you maybe thinking of:
- **RPi Zero W** (tiny Linux board, $10-15) ← ZeroClaw would work here
- **RPi Pico** (microcontroller, MicroPython/C/Rust embedded) ← ZeroClaw won't run here

Or is there a different firmware/embedded project you want on the Pico?

To proceed, I also need either:
- SSH creds for desktop2025
- Or point me to a Linux box with the Pico attached
user: use tailscale ssh fool
assistant: Tailscale SSH host key check is failing, and regular SSH needs password auth. Windows desktop2025 might not have Tailscale SSH server enabled.

Quick fixes:
1. **On desktop2025**: Enable Tailscale SSH in the Windows Tailscale tray app → Settings
2. **Or** give me the Windows username/pas

Source: memory/2026-02-26-0033.md#L21-L54

- **Default model:** copilot/claude-opus-4.6 (Opus via GitHub Copilot, $0 API cost)
- **Fallback:** anthropic/claude-sonnet-4-6
- **Re-auth if needed:** `cd ~/copilot-api && node dist/main.js auth`

### VLAN 70 (Kids) — Blocked (2026-02-18)
- **Config:** 192.168.70.0/24, gateway 192.168.70.1, DHCP with AdGuard DNS
- **SSID:** AhoySmartHome remapped to VLAN 70
- **Issue:** Gateway rx=0 on VLAN 70 — tagged traffic not reaching gateway
- **Root cause:** Likely unmanaged switch stripping VLAN tags
- **Fix options:** Replace with managed switch OR use per-client AdGuard on VLAN 1

### Omada MCP Server (Added 2026-02-18)
- **Location:** /home/crogers2287/omada/omada-mcp/server.py
- **Type:** MCP (

Source: MEMORY.md#L135-L159

qmd query Jetson Nano AI model deployment edge device --json -n 6 -c memory-root-clinker timed out after 8000ms


Nothing in my memory about a Jetson Nano. I don't have any record of working on one with you — it's possible it happened in a session that wasn't written to memory, or it might have been handled by a different agent.

Do you remember roughly when it was? I can dig through raw session logs if needed.


Conversation info (untrusted metadata):
```json
{
  "timestamp": "Mon 2026-03-02 00:04 UTC"
}
```

Last night


Let me search through recent session logs for last night (2026-03-01) for anything about Jetson Nano.

exec

ls /home/crogers2287/.openclaw/agents/clinker/memory/ | sort -r | head -10


session-summaries
research
reference
projects
people
ideas
dailies
2026-03-01.md
2026-03-01-voip-stt-tuning.md
2026-03-01-dtmf-debug.md


grep -ri "jetson" /home/crogers2287/.openclaw/agents/clinker/memory/ 2>/dev/null
grep -ri "jetson" /home/crogers2287/.openclaw/agents/clinker/MEMORY.md 2>/dev/null


(Command exited with code 1)


grep -ri "jetson" /home/crogers2287/.openclaw/ 2>/dev/null | grep -v ".json" | head -20


Command still running (session swift-canyon, pid 1265378). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


(no new output)

Process still running.


Termination requested for session swift-canyon.


grep -ri "jetson" /home/crogers2287/.openclaw/agents/clinker/ 2>/dev/null | head -20