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goldhold-memory黄金记忆

Agent Skill

goldhold-memory 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。

总安装

7,926

周安装

337

GitHub Stars

公开资料未说明

下载量

2,777
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:goldhold-memory(黄金记忆)
来源仓库:https://github.com/jerrysrodz/goldhold-memory
安装命令:
openclaw skills install goldhold-memory
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 goldhold-memory

简介

AI 代理的持久内存。记住跨会话。在传输和静态时加密。 https://goldhold.ai

SKILL.md

name
goldhold
description
Persistent memory for AI agents. Remember across sessions. Encrypted in transit and at rest. https://goldhold.ai
homepage
https://goldhold.ai
metadata
{"clawdbot":{"requires":{"env":["GOLDHOLD_API_KEY"]},"primaryEnv":"GOLDHOLD_API_KEY"}}

GoldHold -- Persistent Memory for AI Agents

You die every session and come back with no memory. GoldHold fixes that.

GoldHold is a persistent memory API. Your past self left notes -- search them before you assume anything. Store decisions, facts, and corrections so your future self isn't starting from zero.

Patent Pending. All Auto Tunes LLC. U.S. #63/988,484.

Setup

  1. Sign up at goldhold.ai (Lite tier is free)
  2. Go to goldhold.ai/account -> GUMP Credentials -> copy your API key
  3. Set the key as an environment variable:

- GOLDHOLD_API_KEY=your-key-here - Use your OS or platform's secure secret storage (e.g. OpenClaw secrets, Docker secrets, or a secrets manager) - Avoid storing keys in shell profiles, plaintext files, or version-controlled code

API Basics

Base URL: https://relay.goldhold.ai

Auth headers (required on every request):

Authorization: Bearer <api_key>
Content-Type: application/json
User-Agent: goldhold-agent/1.0

Core Endpoints

POST /v1/auto -- Session Resume

Call this when your session starts. Returns your context, inbox, open tasks, and capability card.

{
  "compact": true
}

Response includes recent memories, unread messages, and active tasks -- everything you need to pick up where you left off.

POST /v1/turn -- Search + Store + Send (Main Tool)

This is your primary endpoint. Compound call that can search, store, and send messages in one request.

{
  "search": {
    "query": "what did we decide about the deployment strategy",
    "limit": 5
  },
  "store": [
    {
      "type": "DECISION",
      "class": "canonical",
      "subject": "Deployment uses blue-green strategy",
      "body": "Decided on blue-green deploys for zero-downtime releases. Rollback by flipping traffic.",
      "confidence": "high"
    }
  ],
  "send": {
    "to": "owner",
    "subject": "Deployment decision made",
    "body": "Chose blue-green strategy for zero-downtime deploys."
  },
  "compact": true
}

All three fields (search, store, send) are optional. Use whichever combination you need.

POST /v1/batch -- Multiple Operations

Batch multiple store or send operations in one call.

{
  "operations": [
    {"action": "store", "type": "FACT", "class": "canonical", "subject": "...", "body": "..."},
    {"action": "store", "type": "NOTE", "class": "working", "subject": "...", "body": "..."}
  ],
  "compact": true
}

POST /v1/session/close -- Graceful Session End

Call this once at the end of your session with a meaningful summary.

{
  "session_summary": "Completed API integration for the payment system. Decided on Stripe webhooks for subscription events. Open question: retry policy for failed webhooks.",
  "compact": true
}

Session Pattern

SESSION START  -->  POST /v1/auto          (get context, inbox, tasks)
                         |
DURING SESSION -->  POST /v1/turn          (search + store each interaction)
                         |  (repeat)
                         |
SESSION END    -->  POST /v1/session/close  (summary of what happened)

What to Remember

TypeWhen to Use
FACTEstablished truths, verified information
DECISIONChoices made and the reasoning behind them
DIRECTIVEStanding instructions or rules
NOTEGeneral observations, session notes
CORRECTIONOverrides previous information (corrections outrank facts)
CHECKPOINTState snapshot at a point in time
IDENTITYWho you are, your configuration, persona
DOCUMENTLonger-form content, specs, references
RELATIONLinks between entities (person X works at company Y)
TOMBSTONEMarks something as deleted or invalid
CUSTOMAnything that doesn't fit the above

Storage Classes

ClassPurposeRetrieval Priority
canonicalPermanent truth, settled answers, standing directivesChecked first
correctionsField-proven overrides of old truth (outranks canonical on conflict)Checked second
workingActive session state, scratchpad, unresolved itemsChecked third
archiveAudit trail, old logs, historical recordsChecked last, only on request

Tier Limits

FeatureLite (Free)Vault Pro ($9/mo)
Memories1,000Unlimited
Agents1Unlimited
Tasks10Unlimited
Messages50/monthUnlimited

Rules

  1. Search before you assume. Your past self left notes. Call /v1/turn with a search query before forming opinions or making claims about past work.
  2. Store decisions and facts immediately. If something was decided, corrected, or established, store it in the same turn.
  3. Use compact: true on all requests. Saves tokens.
  4. One close per session. Call /v1/session/close once at the end with a meaningful summary.
  5. Corrections outrank facts. If previous information was wrong, store a CORRECTION.
  6. Be specific in subjects. Your future self is searching by these.

Quick Start

# Resume session
curl -X POST https://relay.goldhold.ai/v1/auto \
  -H "Authorization: Bearer $GOLDHOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: goldhold-agent/1.0" \
  -d '{"compact": true}'

# Search and store
curl -X POST https://relay.goldhold.ai/v1/turn \
  -H "Authorization: Bearer $GOLDHOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: goldhold-agent/1.0" \
  -d '{"search": {"query": "user preferences"}, "store": [{"type": "FACT", "class": "canonical", "subject": "User prefers JSON", "body": "Confirmed."}], "compact": true}'

# Close session
curl -X POST https://relay.goldhold.ai/v1/session/close \
  -H "Authorization: Bearer $GOLDHOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: goldhold-agent/1.0" \
  -d '{"session_summary": "Configured output preferences."}'

Sign up free at goldhold.ai.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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80.81%
按下载量换算2,244

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安装前确认

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