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Agent Skill · 研究检索

honcho-memory-mux(honcho 记忆 MUX)

honcho-memory-mux 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

honcho-memory-mux 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 12,483。

总安装 10,231周安装 435GitHub Stars 公开资料未说明下载 3,584核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:honcho-memory-mux(honcho 记忆 MUX)
来源仓库:https://github.com/spooktheducks/honcho-memory-mux
安装命令:
openclaw skills install honcho-memory-mux
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install honcho-memory-mux

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

honcho-memory-mux 扩展 Honcho 的记忆管理能力以支持上下文复用。可迁移旧版文件内存并优化代理工作区指令。适用于需要长期对话记忆的场景。honcho-memory-mux 属于研究检索类 Skill,可作为该场景下的辅助能力补充。使用前需备份原有内存数据以防丢失。

注意与 OpenClaw 版本的兼容性及存储路径权限。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install honcho-memory-mux;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

honcho-memory-mux 怎么安装?

在终端执行 openclaw skills install honcho-memory-mux。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

honcho-memory-mux 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

honcho-memory-mux 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

honcho-memory-mux 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

honcho-memory-mux 用的人多吗?

公开数据是累计安装 10,231 次,近一周安装 435 次,下载 3,584 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

honcho-memory-mux 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
honcho-memory-mux

honcho 记忆 MUX · 本页

10,231—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
honcho-memory-mux-setup
description
>
metadata
openclaw
emoji
🧠
optional_env
description
API key. Optional for many local/self-hosted setups.
description
Base URL for self-hosted Honcho (example: http://localhost:8000).
description
Honcho workspace ID (default: openclaw).
description
OpenClaw workspace root. Auto-detected if unset.
required_binaries
optional_binaries
writes_to_disk
true
network_access
homepage
https://honcho.dev
source

Honcho + Memory Mux Setup

This skill installs and enables: 1) @honcho-ai/openclaw-honcho (Honcho tools + integration) 2) @alloralabs/honcho-memory-mux (multiplexed memory behavior)

Then it migrates legacy memory files, updates agent docs, and validates runtime behavior.


What “memory mux” means in practice

After setup, memory behavior should be:

  • Primary retrieval: Honcho tools (honcho_context, honcho_search, etc.)
  • Secondary retrieval: local memory files (MEMORY.md, memory/*.md) via memory_search / memory_get
  • Durability: pre-compaction flush writes significant session learnings to memory/YYYY-MM-DD.md
  • Fallback safety: if Honcho is unavailable, file-based memory still works

This is intentionally complementary, not a hard cutover.


Step 0: Preflight and safety checks

Before doing anything destructive:

  • Resolve workspace root from:

1. WORKSPACE_ROOT 2. ~/.openclaw/openclaw.json (agent.workspace or agents.defaults.workspace) 3. ~/.openclaw/workspace

  • Confirm directory exists
  • Inform user this process can upload memory files to Honcho

Step 1: Install + enable Honcho plugin

Use OpenClaw plugin manager (not workspace npm install):

openclaw plugins install @honcho-ai/openclaw-honcho
openclaw plugins enable openclaw-honcho

If gateway logs show missing SDK deps:

cd ~/.openclaw/extensions/openclaw-honcho
npm install

Restart gateway if required.


Step 2: Install + enable memory mux extension

Install and enable the memory-mux extension:

openclaw plugins install @alloralabs/honcho-memory-mux
openclaw plugins enable @alloralabs/honcho-memory-mux

If the extension is local/unpublished, install from path or git URL per your release flow.

After enabling:

  • Verify plugin appears in openclaw plugins list
  • Verify gateway boots cleanly (no extension load errors)
  • Verify both Honcho tools and memory_search / memory_get are present at runtime

Step 3: Verify Honcho connectivity (self-hosted)

  • Set HONCHO_BASE_URL (example: http://localhost:8000)
  • HONCHO_API_KEY may be optional depending on auth config

If user needs local Honcho quickly:

git clone https://github.com/plastic-labs/honcho
cd honcho
cp .env.template .env
cp docker-compose.yml.example docker-compose.yml
docker compose up -d

Do not migrate until connection is verified.


Step 4: Detect and classify legacy memory files

Scan workspace for:

User/owner memory inputs

  • USER.md
  • IDENTITY.md
  • MEMORY.md
  • memory/** (recursive)
  • canvas/** (recursive)

Agent/self memory inputs

  • SOUL.md
  • AGENTS.md (and AGENT.md if present in this workspace)
  • TOOLS.md
  • BOOTSTRAP.md
  • HEARTBEAT.md

Present a clear preview before upload:

  • count files per class
  • total bytes per class
  • any unreadable/skipped files

Ask for explicit confirmation.


Step 5: Upload to Honcho using peer-separated sessions

Create/ensure:

  • workspace (HONCHO_WORKSPACE_ID or openclaw)
  • peer owner
  • peer openclaw
  • migration session (e.g. migration-upload-<timestamp>)

Add both peers to session, then upload files:

  • user/owner files → owner
  • agent/self files → openclaw

If any upload fails:

  • stop
  • report exact file and error
  • keep local files unchanged

Report summary:

  • uploaded user file count
  • uploaded agent file count
  • failed/skipped files

Step 6: Update workspace docs (including AGENT.md compatibility)

Update/create memory instructions in:

  • AGENTS.md
  • SOUL.md
  • BOOTSTRAP.md
  • AGENT.md (if this workspace uses it)

Preserve custom content; only replace memory-specific sections.

Required policy text to add

  1. Memory retrieval order

- First try honcho_context / honcho_search / honcho_recall - If needed, use memory_search + memory_get for local file recall - Use honcho_session for same-session recall

  1. Memory write behavior

- Important durable facts can be written via honcho_write - Pre-compaction flush writes concise durable notes to memory/YYYY-MM-DD.md

  1. Failure handling

- If Honcho unavailable: continue with local memory tools, state degraded mode - Never claim memory certainty without retrieval evidence

  1. Transparency

- When memory influences an answer, be able to explain source class (Honcho recall vs local file recall vs current-session context)


Step 7: Add/refresh practical memory operating conventions

Ensure docs reflect these conventions the agent has been using:

  • Do not preload everything into active reasoning if not needed
  • Prefer targeted retrieval over huge static context injection
  • Treat disagreement as signal: preserve conflicting observations; do not silently average
  • Use pre-compaction flushes to avoid losing high-value context during long sessions
  • Separate memory types conceptually:

- durable facts - episodic notes - scratch/working notes

Even if physical storage is mixed, behavior should preserve this distinction.


Step 8: Optional (recommended) no-fork observability add-on

Without modifying OpenClaw gateway source, the memory-mux extension can emit:

  • a small memory load manifest per session start (what memory sources were pulled)
  • a pre-compaction write report (what was persisted)

Store under:

  • memory/manifests/YYYY-MM-DD/<session>.json

This makes memory behavior debuggable while keeping upstream updates painless.


Step 9: Validate end-to-end behavior

Run a quick live test:

  1. Ask agent about a known historical fact only in migrated memory
  2. Confirm retrieval path works (Honcho first, fallback available)
  3. Trigger/perform pre-compaction flush
  4. Confirm new note appears in memory/YYYY-MM-DD.md
  5. Re-ask fact in a new turn/session to validate durability

Wrap-up report to user

Provide:

  • installed/enabled plugin list
  • Honcho connectivity mode (managed vs self-hosted)
  • files discovered, uploaded, skipped
  • docs updated (AGENTS.md, SOUL.md, BOOTSTRAP.md, AGENT.md if present)
  • any follow-up actions

Reference docs:

  • https://docs.honcho.dev
  • https://github.com/plastic-labs/honcho

Guardrails

  • Never delete user memory files automatically unless user explicitly asks
  • Never proceed with migration on failed Honcho connectivity
  • Never silently ignore upload errors
  • Prefer reversible edits and clear summaries

平台分布

OpenClaw

89.08%
按下载量换算3,193

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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