29c98e8f83
Adds observationMode config field to HonchoClientConfig: - 'unified' (default): user peer self-observations, all agents share one pool - 'directional': AI peer observes user, each agent keeps its own view Changes: - client.py: observation_mode field, _normalize_observation_mode(), config resolution - session.py: add_peers respects mode (peer observation flags), dialectic_query routes through correct peer, create_conclusion uses correct observer
Honcho Memory Provider
AI-native cross-session user modeling with dialectic Q&A, semantic search, peer cards, and persistent conclusions.
Requirements
pip install honcho-ai- Honcho API key from app.honcho.dev
Setup
hermes memory setup # select "honcho"
Or manually:
hermes config set memory.provider honcho
echo "HONCHO_API_KEY=your-key" >> ~/.hermes/.env
Config
Config file: $HERMES_HOME/honcho.json (or ~/.honcho/config.json legacy)
Existing Honcho users: your config and data are preserved. Just set memory.provider: honcho.
Tools
| Tool | Description |
|---|---|
honcho_profile |
User's peer card — key facts, no LLM |
honcho_search |
Semantic search over stored context |
honcho_context |
LLM-synthesized answer from memory |
honcho_conclude |
Write a fact about the user to memory |