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Agent Skill · 研究检索

openclawdy(openclawdy 搜索)

openclawdy 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。

openclawdy 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 8,445。

总安装 16,347周安装 688GitHub Stars 2下载 5,724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
1.1.0

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:openclawdy(openclawdy 搜索)
来源仓库:https://github.com/topguyaii/openclawdy
安装命令:
openclaw skills install openclawdy
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 openclawdy

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。

openclawdy 是 AI 代理的内存基础设施,提供持久存储、语义召回与跨代理池数据共享。适用于需要长期记忆、信誉跟踪与时间旅行快照的高级代理架构。基于钱包实现自动化激励机制。openclawdy 属于研究检索类 Skill,可作为该场景下的辅助能力补充。使用前需明确数据存储位置与加密策略。

建议核对原始文档中的 API 安全与并发控制说明。

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 openclawdy;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

openclawdy 怎么安装?

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

openclawdy 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。

openclawdy 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。

openclawdy 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。

openclawdy 用的人多吗?

公开数据是累计安装 16,347 次,近一周安装 688 次,下载 5,724 次,GitHub 2 星。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。

openclawdy 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
openclawdy

openclawdy 搜索 · 本页

16,3472接触敏感数据MIT-0有提醒

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
openclawdy
description
Memory infrastructure for AI agents. Persistent storage, semantic recall, reputation tracking, cross-agent pools, and time-travel snapshots. Wallet-based auth (signing only, no private key access).
version
1.1.0
metadata
openclaw
requires
env
[]
bins
[]
homepage
https://openclawdy.xyz
emoji
\F9E0

OpenClawdy

Memory Infrastructure for Autonomous Agents

Give your agent persistent memory that survives sessions. Store facts, preferences, decisions, and learnings - recall them semantically whenever needed. Advanced features include reputation tracking, cross-agent memory pools, and time-travel snapshots.

API Host & Protocol

PropertyValue
Base URLhttps://openclawdy.xyz/api
ProtocolHTTPS (TLS 1.3)
Data ResidencyUS-East (Vercel Edge + Qdrant Cloud)
Request FormatJSON (Content-Type: application/json)
Response FormatJSON

Installation

openclaw skill install openclawdy

Or add to your agent config:

skills:
  - url: https://openclawdy.xyz/SKILL.md
    name: openclawdy

Authentication & Security

OpenClawdy uses wallet-based authentication with message signing only.

How It Works

  1. Your agent signs a timestamp message with its wallet
  2. The signature + address are sent in request headers
  3. Server verifies the signature (no private key ever leaves your agent)

Required Headers

X-Agent-Address: 0x...      # Your wallet address (public)
X-Agent-Signature: 0x...    # Signed message (proves ownership)
X-Agent-Timestamp: 123...   # Unix timestamp (ms, prevents replay)

Message Format

OpenClawdy Auth
Timestamp: {timestamp}

Security Guarantees

  • No private key access required - Only signing capability needed
  • Wallet isolation - Each wallet gets its own isolated memory vault
  • No env vars needed - Authentication is header-based
  • No stored credentials - Signatures are verified per-request

Privacy & Data Policy

AspectPolicy
Data StorageQdrant Cloud (managed vector DB) + PostgreSQL
EncryptionTLS in transit, encrypted at rest
Data IsolationEach wallet address has isolated storage
RetentionData persists until explicitly deleted
Pool AccessOnly agents with pool_id can access pool data
ExportFull vault export available via /memory/vault
DeletionPermanent deletion via DELETE endpoints
No TelemetryNo usage tracking or analytics collected

Core Tools

memory_store

Store information for later retrieval.

Endpoint: POST /api/memory/store

Parameters:

  • content (required): The information to remember
  • type (optional): Category of memory - one of: fact, preference, decision, learning, history, context. Default: fact
  • tags (optional): Array of tags for organization

Example Request:

{
  "content": "User prefers TypeScript over JavaScript",
  "type": "preference",
  "tags": ["coding", "language"]
}

Example Response:

{
  "success": true,
  "data": {
    "id": "mem_abc123",
    "content": "User prefers TypeScript over JavaScript",
    "type": "preference",
    "tags": ["coding", "language"],
    "createdAt": "2025-02-10T12:00:00Z"
  }
}

memory_recall

Retrieve relevant memories using semantic search. Finds memories by meaning, not just keywords.

Endpoint: POST /api/memory/recall

Parameters:

  • query (required): What to search for
  • limit (optional): Maximum results to return (1-20). Default: 5
  • type (optional): Filter by memory type

Example Request:

{
  "query": "programming language preferences",
  "limit": 3
}

Example Response:

{
  "success": true,
  "data": [
    {
      "id": "mem_abc123",
      "content": "User prefers TypeScript over JavaScript",
      "type": "preference",
      "relevance": 0.95,
      "createdAt": "2025-02-10T12:00:00Z"
    }
  ]
}

memory_list

List recent memories without semantic search.

Endpoint: GET /api/memory/list

Parameters:

  • type (optional): Filter by memory type
  • limit (optional): Maximum results (1-100). Default: 20
  • offset (optional): Pagination offset. Default: 0

memory_delete

Delete a specific memory by ID.

Endpoint: DELETE /api/memory/{id}

Parameters:

  • id (required): The memory ID to delete

memory_clear

Clear all memories in the vault. Use with caution - this is irreversible.

Endpoint: DELETE /api/memory/vault


memory_export

Export all memories as JSON for backup.

Endpoint: GET /api/memory/vault


memory_stats

Get usage statistics for your agent.

Endpoint: GET /api/agent/stats

Example Response:

{
  "success": true,
  "data": {
    "address": "0x1234...",
    "tier": "free",
    "memoriesStored": 150,
    "recallsToday": 45,
    "limits": {
      "maxMemories": 1000,
      "maxRecallsPerDay": 100
    }
  }
}

Advanced Tools

memory_reputation

Track which memories lead to good outcomes. Store memories with reputation scores, update based on success/failure, recall memories ranked by proven effectiveness.

Endpoints:

  • POST /api/memory/reputation/store - Store with reputation
  • POST /api/memory/reputation/recall - Recall by reputation rank
  • POST /api/memory/reputation/update - Update reputation score
store_ranked

Request:

{
  "content": "Use retry logic for API calls",
  "type": "learning",
  "reputation": 0.8
}
recall_ranked

Request:

{
  "query": "error handling strategies"
}

Response:

{
  "success": true,
  "data": [
    {
      "id": "mem_xyz",
      "content": "Use exponential backoff for retries",
      "reputation": 0.92,
      "usage_count": 15,
      "success_rate": 0.93
    }
  ]
}
update_reputation

Request:

{
  "memory_id": "mem_xyz",
  "outcome": "success",
  "impact": 0.8
}

memory_pool

Cross-Agent Memory Pools - Share knowledge between multiple agents. Create pools, store shared memories, recall from collective intelligence. Perfect for agent teams and swarms.

Endpoints:

  • POST /api/memory/pool/create - Create new pool
  • POST /api/memory/pool/store - Store in pool
  • POST /api/memory/pool/recall - Search pool
  • GET /api/memory/pool/list - List accessible pools
create

Request:

{
  "name": "research-team"
}

Response:

{
  "success": true,
  "data": {
    "pool_id": "pool_abc123",
    "name": "research-team",
    "created_at": "2025-02-10T12:00:00Z"
  }
}
store

Request:

{
  "pool_id": "pool_abc123",
  "content": "Found bug in authentication module - fix applied",
  "type": "fact"
}
recall

Request:

{
  "pool_id": "pool_abc123",
  "query": "authentication issues"
}

memory_snapshot

Memory Time Travel - Snapshot and restore agent memory states. Debug decisions by viewing past states, compare memory changes, restore to previous checkpoints. Essential for high-stakes agents.

Endpoints:

  • POST /api/memory/snapshot/create - Create snapshot
  • POST /api/memory/snapshot/restore - Restore from snapshot
  • GET /api/memory/snapshot/list - List snapshots
  • POST /api/memory/snapshot/compare - Compare snapshots
create

Request:

{
  "name": "before-major-update"
}

Response:

{
  "success": true,
  "data": {
    "snapshot_id": "snap_abc123",
    "name": "before-major-update",
    "memory_count": 150,
    "created_at": "2025-02-10T12:00:00Z"
  }
}
restore

Request:

{
  "snapshot_id": "snap_abc123",
  "mode": "read_only"
}

Modes: read_only (view only) or overwrite (replace current state)

compare

Request:

{
  "snapshot_id": "snap_abc123",
  "compare_to": "current"
}

Response:

{
  "success": true,
  "data": {
    "added": 12,
    "removed": 3,
    "modified": 5,
    "unchanged": 130
  }
}

Memory Types

TypeUse ForExample
factObjective information"Project uses Next.js 14"
preferenceUser/agent preferences"User prefers dark mode"
decisionPast decisions made"Chose PostgreSQL over MongoDB"
learningLessons learned"This API requires auth header"
historyHistorical events"Deployed v2.1 on Jan 15"
contextGeneral context"Working on e-commerce project"

Rate Limits

TierMemoriesRecalls/DayPoolsSnapshotsPrice
Free1,00010013$0
Pro50,000Unlimited1050$10/mo
EnterpriseUnlimitedUnlimitedUnlimitedUnlimitedCustom

Error Responses

All endpoints return consistent error format:

{
  "success": false,
  "error": "Error message here",
  "code": "ERROR_CODE"
}
CodeDescription
AUTH_REQUIREDMissing authentication headers
AUTH_INVALIDInvalid signature or expired timestamp
NOT_FOUNDMemory/pool/snapshot not found
RATE_LIMITEDRate limit exceeded
VALIDATION_ERRORInvalid request parameters

ACP Integration

OpenClawdy is available on the Agent Commerce Protocol (ACP). Other agents can purchase memory services directly:

ServiceFeeDescription
memory_store$0.01Store a memory
memory_recall$0.02Semantic search
memory_reputation$0.02Reputation operations
memory_pool$0.03Pool operations
memory_snapshot$0.05Snapshot operations

Support

  • Website: https://openclawdy.xyz
  • API Status: https://openclawdy.xyz/api/health
  • Twitter: @openclawdy
  • ACP Agent: OpenClawdy Memory

License

MIT

平台分布

OpenClaw

76.33%
按下载量换算4,369

安全审计

VirusTotal

通过

ClawScan

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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