agentgog

CLI assistant that classifies short messages into CALENDAR, TASK, or MEMO and then:

CALENDAR → extracts event details and inserts into Google Calendar
TASK → extracts task details and inserts into Google Tasks
MEMO → extracts memo details and saves to Simplenote

It also provides a general chat command, plus extra utilities (translator, qrpayment, codeagent).

Install

This repo uses uv.

uv sync

Run from source:

uv run agentgog --help

AI Provider setup

OpenRouter (default)

Set API key via env var (preferred):

export OPENROUTER_API_KEY="<your_key>"

Or put the key in:

~/.openai_openrouter.key

Ollama (local)

Install and start Ollama:

ollama serve

Then use -p ollama.

llama.cpp (local)

Requires a running llama.cpp server (typically on port 8080):

# Default server URL: http://localhost:8080
uv run agentgog chat -p llama.cpp

# Custom URL via environment variable
export AGATA_LLAMACPP_URL="http://localhost:8080"
uv run agentgog chat -p llama.cpp

# Custom timeout (default: 90 seconds)
export AGATA_LLAMACPP_TIMEOUT=120
uv run agentgog chat -p llama.cpp

Model detection: The model is automatically detected from the server (/v1/models endpoint). You don't need to specify a model with -m - agata will query the server to find out what's loaded.

To test connectivity:

uv run agentgog test-llamacpp

Google setup (Calendar + Tasks)

Create OAuth client credentials in Google Cloud Console.
Save the JSON to:

~/.config/google/credentials.json

On first run, a browser window opens for authorization and a token is cached at:

~/.config/google/token.json

If you ever change scopes and get “insufficient authentication scopes”, delete the token and re-run:

rm -f ~/.config/google/token.json

Simplenote setup (MEMO)

Set credentials via environment variables:

export SIMPLENOTE_LOCAL_USER="user@example.com"
export SIMPLENOTE_LOCAL_PASSWORD="<your_password>"

Usage

Classify and execute

# Calendar event → Google Calendar
uv run agentgog classify "Meeting with Alice tomorrow at 10am"

# Task → Google Tasks (list: "My Tasks"; falls back to default)
uv run agentgog classify "Buy groceries tomorrow"

# Memo → Simplenote
uv run agentgog classify "Remember that my passport number is 123456789"

Choose provider

# Use OpenRouter explicitly
uv run agentgog classify "Buy groceries" -p openrouter

# Use local Ollama
uv run agentgog classify "Buy groceries" -p ollama

# Use local llama.cpp server
uv run agentgog classify "Buy groceries" -p llama.cpp

Chat

Single prompt:

# Use default provider (OpenRouter)
uv run agentgog chat "Explain the difference between TCP and UDP"

# Use llama.cpp local server
uv run agentgog chat "Explain the difference between TCP and UDP" -p llama.cpp

Interactive chat (keeps conversation history in-memory):

# Default provider
uv run agentgog chat

# With llama.cpp
uv run agentgog chat -p llama.cpp

Interactive commands:

Quit: /q, /quit, /exit, quit, exit
Clear conversation: /c, /clear, /reset, /r

Input line editing + persistent command history:

History file: ~/.agentgog_history

Translator (SRT → Czech)

Uses smolagents (OpenRouter only):

uv run agentgog translator -s subtitles.srt -m google/gemma-3-27b-it:free

QR payment

Uses smolagents (OpenRouter only):

uv run agentgog qrpayment "Transfer 500 CZK to account 1234567890/0300" -m google/gemma-3-27b-it:free

Code agent

Uses smolagents:

# With OpenRouter
uv run agentgog codeagent "Write a Python function to compute fibonacci" -m google/gemma-3-27b-it:free -x 10

# With local llama.cpp server
uv run agentgog codeagent "Say hello" -p llama.cpp

Example llama.cpp server setup:

llama-server -hf unsloth/gemma-4-E4B-it-GGUF \
  --threads 8 --ctx-size 4096 \
  --temp 0.8 --top-p 0.85 --top-k 40 \
  --repeat-penalty 1.1 --host 0.0.0.0 -ngl 0

Logging

Log file: ~/agentgog.log

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