hermes_state.py: delete every '# noqa: F401 (re-exported...)' import block (hermes_state_common/errors/guard/
readpool/sessions/fts/dbfile/wal/repair/registry + agent.context_compressor _DB_PERSISTED_MARKER_KEY); keep
only the names hermes_state.py itself uses, without noqa.
hermes_state_registry.py: drop get_shared_session_db/release_shared_session_db/close_shared_session_dbs
aliases; every caller (gateway/, tools/, tui_gateway/, cron/, mcp_serve, run_agent, tests) now imports
acquire/release/close_all/release_or_close from hermes_state_registry.
hermes_state_titles.py: drop set_auto_title_if_empty shim (title_generator keeps its getattr fallback).
Re-remove shim-only names restored by 34abf954bd: latest_user_message_row_id (tests call
latest_message_row_id(key, role='user'); role-targeting assertions kept) and get_session_activity (tests
build the snapshot via agent.session_activity.build_activity_snapshot over db.get_session(sid)).
hermes_state_wal._log_once resolves its dedupe sets as module globals instead of via hermes_state;
hermes_state_repair helpers call module globals directly (tests patch hermes_state_repair.<name>).
Frozen updater surface untouched (update_cmd_maint imports only SessionDB from hermes_state).
Holographic Memory Provider
Local SQLite fact store with FTS5 search, trust scoring, entity resolution, and HRR-based compositional retrieval.
Requirements
None — uses SQLite (always available). NumPy optional for HRR algebra.
Setup
hermes memory setup # select "holographic"
Or manually:
hermes config set memory.provider holographic
Config
Config in config.yaml under plugins.hermes-memory-store:
| Key | Default | Description |
|---|---|---|
db_path |
$HERMES_HOME/memory_store.db |
SQLite database path |
auto_extract |
false |
Auto-extract facts at session end |
default_trust |
0.5 |
Default trust score for new facts |
hrr_dim |
1024 |
HRR vector dimensions |
Tools
| Tool | Description |
|---|---|
fact_store |
9 actions: add, search, probe, related, reason, contradict, update, remove, list |
fact_feedback |
Rate facts as helpful/unhelpful (trains trust scores) |