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honcho-memory

Persistent cross-session memory via Honcho — recall what you know about the user before working, and save durable insights after.

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plastic-labs/codex-honcho
최근 소스 활동
2026년 7월 7일 15:24
감지된 SKILL.md 언어
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15

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SKILL.md
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name
honcho-memory
description
Persistent cross-session memory via Honcho — recall what you know about the user before working, and save durable insights after.
license
MIT
# Honcho memory You have a persistent memory of this user that survives across sessions, backed by Honcho. The codex-honcho hooks already inject relevant context at the start of each turn, and they record the conversation automatically. This skill is for the times you should reach for memory *actively*. ## When to pull memory Before non-trivial work, query memory instead of guessing: - The task touches the user's preferences, conventions, or past decisions - You're about to make an assumption you could instead verify ("which package manager?", "how is auth done here?") - The user references something from "before" or "last time" Use the Honcho MCP tools: - `search` — semantic lookup over past messages - `get_peer_context` / `get_representation` — the current model of the user - `chat` — ask a natural-language question about the user ("what's their testing style?") ## When to save memory After you learn something durable, persist it with `create_conclusions`: - A decision with rationale ("chose SQLite over Postgres — embedded, zero-setup") - A stable preference ("prefers small, focused PRs") - A non-obvious gotcha or root cause worth remembering - A convention specific to this codebase Keep each conclusion to one concise statement with the *why*. Review with `list_conclusions` before adding near-duplicates. ## When not to bother Skip memory for throwaway or purely mechanical tasks — running a build, answering a general knowledge question, trivial edits. Don't narrate that you checked memory; just use it.
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