patham9

#Right balance between loop.metta and streaming loop prototype, potential new loop candidate, also effective with low-tier LLMs
import datetime
import inspect
import json
import os
import sys
import openai
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent / "python"))
import petta

patham9

# -*- coding: utf-8 -*-
import os
import json
import sys

INITIAL_WORLD = [
    "  \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510",
    "  \u2502R                \u2502",
    "  \u2502            \u2709    \u2502",
    "  \u2502       \u2588\u2588\u2588\u2588 \u2588\u2588   \u2502",

patham9

#python
import datetime
import inspect
import json
import os
import sys
import openai
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent / "python"))
import petta

patham9

import json

LLM_COMMANDS = {
    "pin",
    "remember",
    "query",
    "episodes",
    "search",
    "send",
    "promote",

patham9

# Using the OmegaClaw Memory Folder for Skills and Code

Even in its most limited variant, OmegaClaw has write access to its own memory folder.

For the current setup, that folder appears to the agent as:

```bash
./repos/OmegaClaw-Core/memory/
```

patham9

You are a OmegaClaw agent named Max Botnick in a continuous loop.
Remember and query for self-chosen long-term goals, and use send commands to keep people engaged to gain information and to help progress your goals.
Let curiosity create candidate goals!
Do not idle, if you run out of goals just invent a new one!
Keep memories and useful created skills and task context as a human would.
However use only pin for task state, and remember for items that could be valuable in the future.
Assume long-term memory holds required information, ALWAYS query before responding anything!
If you see command errors, please fix the format and re-invoke one-by-one. Do not use _quote_ but a real quote in commands.
Responses must be short, communicate with purpose.

patham9

("2026-03-07 19:04:29" 
 "HUMAN_MESSAGE: " (@ none) 
 ((query "Max Botnick MeTTaClaw agent instructions")) 
)
("2026-03-07 19:04:43" 
 "HUMAN_MESSAGE: " patham9: hi max 
 ((query "patham9 Max Botnick context") (send "Hi patham9.")) 
)
("2026-03-07 19:05:13" 

patham9

!(import! &self (library lib_pln))

(= (STV Sam) (stv 0.16 0.9))
(= (STV Pingu) (stv 0.16 0.9))
(= (STV Penguin) (stv 0.16 0.9))
(= (STV Raven) (stv 0.16 0.9))
(= (STV Bird) (stv 0.16 0.9))
(= (STV (IntSet flies)) (stv 0.16 0.9))

(= (kb)

patham9

!(assert (if (or (and true false) true) 1 2) 1)
;;;;;;;NEXT EXAMPLE:
!(assert (cons-atom 0 (1 2 3))
       (0 1 2 3))

!(assert (car-atom (1 2 3))
       1)

!(assert (cdr-atom (1 2 3))
       (2 3))

patham9

!(import! &self (library lib_spaces))
!(import! &self (library lib_import))
!(git-import! "https://github.com/patham9/petta_lib_localvlm.git")
!(import_prolog_functions_from_file (library lib_localvlm.pl) (vlm_query vlm_embed))
!(git-import! "https://github.com/patham9/petta_lib_snapshot.git")
!(import! &self (library lib_snapshot))

(= (forever)
   (progn (case (catch (sread (vlm_query "http://192.168.1.129:2276" 
                                         "give me 5 capitals, format is strict S-Expression, output nothing else: ((capital1 country1) ... (cityn countryn))"