678a87c477
Add three reusable helpers to eliminate pervasive boilerplate:
tools/registry.py — tool_error() and tool_result():
Every tool handler returns JSON strings. The pattern
json.dumps({"error": msg}, ensure_ascii=False) appeared 106 times,
and json.dumps({"success": False, "error": msg}, ...) another 23.
Now: tool_error(msg) or tool_error(msg, success=False).
tool_result() handles arbitrary result dicts:
tool_result(success=True, data=payload) or tool_result(some_dict).
hermes_cli/config.py — read_raw_config():
Lightweight YAML reader that returns the raw config dict without
load_config()'s deep-merge + migration overhead. Available for
callsites that just need a single config value.
Migration (129 callsites across 32 files):
- tools/: browser_camofox (18), file_tools (10), homeassistant (8),
web_tools (7), skill_manager (7), cronjob (11), code_execution (4),
delegate (5), send_message (4), tts (4), memory (7), session_search (3),
mcp (2), clarify (2), skills_tool (3), todo (1), vision (1),
browser (1), process_registry (2), image_gen (1)
- plugins/memory/: honcho (9), supermemory (9), hindsight (8),
holographic (7), openviking (7), mem0 (7), byterover (6), retaindb (2)
- agent/: memory_manager (2), builtin_memory_provider (1)
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) |