Mirrors `long_term_memory` and `profiles` modules from rust fork.
memory_store.py (new, ~95 lines)
- JSON store at <here>/long_term_memory.json (atomic write).
- remember(key, value) / recall(key) / forget(key) / search(query, limit) /
all_facts() / build_llm_context(prompt, limit).
- Uses the same JSON shape as the rust side, so the file is
interoperable if you ever symlink the two installations to the same dir.
profiles_store.py (new, ~145 lines)
- Profiles at <here>/profiles/<name>.json. active_profile.txt persists.
- Seeds 5 defaults on first init: default ★, work 💼, game 🎮, sleep 🌙,
driving 🚗 — same as rust fork.
- active() / active_name() / set_active(name) / list_names() /
allows_command(cmd_id).
extensions.py (+6 handlers, +160 lines)
- do_memory_remember — derives key (first 6 words or split on '=')
- do_memory_recall — substring search or top-3 if no query
- do_memory_forget — exact then substring fallback
- do_memory_list — count + first 5 keys
- do_profile_set — target via action.target or voice ("работа" → work)
- do_profile_what — speaks current profile + description
main.py
- +6 dispatch entries for the new action types.
commands.yaml (+10 entries, 119 → 129)
- memory_remember, memory_recall, memory_forget, memory_list
- profile_work, profile_game, profile_sleep, profile_driving, profile_default
- profile_what
Tests: ast.parse passes for all .py files. yaml.safe_load gives 129 entries.
Python parity is now meaningful: memory + profiles are usable by voice
without any rust install. Still missing for full parity: scheduler (needs
background thread), macros (needs phrase-capture state), vision (needs
Groq vision model call), codebase_qa, github_pr.
