Honcho memory

SkillDocs & knowledge

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

Use Honcho memory in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Honcho memory skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Honcho memoryStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/plastic-labs/codex-honcho/skills/honcho-memory/SKILL.md and read by Ahel’s review.

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.

Signals

GitHub stars
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Last commit
Oct 2026
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Item type
skill
Key
honcho-memory
Source
github.com/hashgraph-online/awesome-codex-plugins