Files

T

Teknium 0201f8c8c0 feat(memory): auto-install pip dependencies during hermes memory setup

Reads pip_dependencies from plugin.yaml, checks which are missing,
installs them via pip before config walkthrough. Also shows install
guidance for external_dependencies (e.g. brv CLI for ByteRover).

Updated all 7 plugin.yaml files with pip_dependencies:
- honcho: honcho-ai
- mem0: mem0ai
- openviking: httpx
- hindsight: hindsight-client
- holographic: (none)
- retaindb: requests
- byterover: (external_dependencies for brv CLI)

2026-03-31 00:38:28 -07:00

__init__.py

feat(memory): standardize plugin config + add per-plugin documentation

2026-03-31 00:07:30 -07:00

plugin.yaml

feat(memory): auto-install pip dependencies during hermes memory setup

2026-03-31 00:38:28 -07:00

README.md

feat(memory): standardize plugin config + add per-plugin documentation

2026-03-31 00:07:30 -07:00

README.md

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