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)
Mem0 Memory Provider
Server-side LLM fact extraction with semantic search, reranking, and automatic deduplication.
Requirements
pip install mem0ai- Mem0 API key from app.mem0.ai
Setup
hermes memory setup # select "mem0"
Or manually:
hermes config set memory.provider mem0
echo "MEM0_API_KEY=your-key" >> ~/.hermes/.env
Config
Config file: $HERMES_HOME/mem0.json
| Key | Default | Description |
|---|---|---|
user_id |
hermes-user |
User identifier on Mem0 |
agent_id |
hermes |
Agent identifier |
rerank |
true |
Enable reranking for recall |
Tools
| Tool | Description |
|---|---|
mem0_profile |
All stored memories about the user |
mem0_search |
Semantic search with optional reranking |
mem0_conclude |
Store a fact verbatim (no LLM extraction) |