Honcho Memory
Concepts and strategy for using a connected Honcho as persistent memory of the user, ...
Install
npx skills add plastic-labs/honcho --skill honcho-memory -g -a claude-code -y- Repository
- plastic-labs/honcho7.9k
- Category
- Design
- Updated
- 3d ago
- License
- AGPL-3.0
- Context cost
- Mediumabout 2,490 tokens
- Runs scripts
- No, instructions only
What it does
Concepts and strategy for using a connected Honcho as persistent memory of the user, the recall/record loop and session and peer design. Start here to understand how Honcho memory works, then connect, via a first-class integration for your environment if one exists (preferred), or raw MCP tools (covered here) or the honcho-cli skill (CLI). For embedding the SDK into a codebase, use honcho-integration.
Using Honcho as Memory
Honcho is a memory layer for agents. You feed it the messages from your conversations; in the background it reasons over them and builds a representation of each participant. At any point you can ask it natural-language questions about the user ("How technical are they?", "What are they trying to do?") and get grounded, reasoned answers.
This skill is for when Honcho is already connected to you and you want to use it. If you're instead adding Honcho to a codebase from scratch, use the honcho-integration skill.
What's durable vs. what to look up. The concepts and the recall/record loop below change rarely, rely on them. Specifics that change often, the exact set of integrations, tool names, install commands, headers, and defaults, are illustrative here; treat the linked docs (and your own live tool list) as authoritative and fetch them when the details matter.
