Teknium
60fcae3c09
Ports 5 bug fixes found during profile testing (erosika's PR #4632): 1. 3-tier config resolution — resolve_config_path() now checks $HERMES_HOME/honcho.json → ~/.hermes/honcho.json → ~/.honcho/config.json (non-default profiles couldn't find shared host blocks) 2. Thread host=_host_key() through from_global_config() in cmd_setup, cmd_status, cmd_identity (--target-profile was being ignored) 3. Use bare profile name as aiPeer (not host key with dots) — Honcho's peer ID pattern is ^[a-zA-Z0-9_-]+$, dots are invalid 4. Wrap add_peers() in try/except — was fatal on new AI peers, killed all message uploads for the session 5. Gate Honcho clone behind --clone/--clone-all on profile create (bare create should be blank-slate) Also: sanitize assistant_peer_id via _sanitize_id()
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 |