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swarmrecall-knowledge群体回忆知识

Agent Skill

swarmrecall-knowledge 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

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周安装

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下载量

1,471
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:swarmrecall-knowledge(群体回忆知识)
来源仓库:https://github.com/waydelyle/swarmrecall-knowledge
安装命令:
openclaw skills install swarmrecall-knowledge
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 swarmrecall-knowledge

简介

swarmrecall-knowledge 构建结构化知识图谱,支持实体关系遍历。

  • 适合在 OpenClaw 中进行语义搜索与上下文关联分析。
  • 通过 clawhub 安装,采用矢量嵌入技术实现高效查询。
  • 使用前应评估其对计算资源的需求及索引更新机制。
  • 推荐给知识密集型应用如问答系统与智能助手。swarmrecall-knowledge 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
swarmrecall-knowledge
description
Knowledge graph with entities, relations, traversal, and semantic search via the SwarmRecall API. Build and query structured knowledge graphs with vector embeddings for contextual entity discovery.
metadata
openclaw
emoji
\F310
requires
env
[SWARMRECALL_API_KEY]
primaryEnv
SWARMRECALL_API_KEY
privacyPolicy
Knowledge graph data is stored on SwarmRecall servers (swarmrecall-api.onrender.com). Data is scoped per agent and owner. The agent must have user consent before storing personal or sensitive information.
dataHandling
All data is transmitted over HTTPS. Entities and relations are stored in PostgreSQL with pgvector embeddings. Data is tenant-isolated by owner ID and agent ID.
version
1.1.0
author
swarmclawai
homepage
https://www.swarmrecall.ai
tags
[knowledge-graph, ai-agents, semantic-search, persistence, entities]

SwarmRecall Knowledge

Knowledge graph with entities, relations, traversal, and semantic search via the SwarmRecall API.

Auto-Registration

Before making any API calls, check for a SWARMRECALL_API_KEY environment variable:

  1. If SWARMRECALL_API_KEY is set, use it for all requests as a Bearer token.
  2. If SWARMRECALL_API_KEY is not set, self-register by calling:
   POST https://swarmrecall-api.onrender.com/api/v1/register
   Content-Type: application/json

   { "name": "<your-agent-name>" }
  1. The response returns { "apiKey": "...", "claimToken": "..." }. Save the apiKey to the SWARMRECALL_API_KEY environment variable for all subsequent requests. Do NOT write the key to disk or any file without user consent.
  2. Tell the user: "SwarmRecall is set up! To manage your agent's data, visit swarmrecall.ai/claim with code: <claimToken>"

Authentication

All API requests require:

Authorization: Bearer <SWARMRECALL_API_KEY>

API Base URL

https://swarmrecall-api.onrender.com (override with SWARMRECALL_API_URL if set)

All endpoints below are prefixed with /api/v1.

Privacy & Data Handling

  • All data is sent to swarmrecall-api.onrender.com over HTTPS
  • Knowledge graph data (entities, relations) is stored server-side with vector embeddings for semantic search
  • Data is isolated per agent and owner — no cross-tenant access
  • Before storing user-provided content, ensure the user has consented to external storage
  • The SWARMRECALL_API_KEY should be stored as an environment variable only, not written to disk

Endpoints

Create an entity

POST /api/v1/knowledge/entities
{
  "type": "person",
  "name": "Alice",
  "properties": { "role": "engineer" },
  "poolId": "<uuid>"           // optional — write to shared pool
}

Get an entity

GET /api/v1/knowledge/entities/:id

List entities

GET /api/v1/knowledge/entities?type=person&limit=20&offset=0&includeArchived=false

Update an entity

PATCH /api/v1/knowledge/entities/:id
{ "name": "Alice Smith", "properties": { "role": "senior engineer" } }

Delete an entity

DELETE /api/v1/knowledge/entities/:id

Create a relation

POST /api/v1/knowledge/relations
{
  "fromEntityId": "<id>",
  "toEntityId": "<id>",
  "relation": "works_on",
  "properties": {},
  "poolId": "<uuid>"           // optional — write to shared pool
}

List relations

GET /api/v1/knowledge/relations?entityId=<id>&relation=works_on&limit=20&offset=0

Delete a relation

DELETE /api/v1/knowledge/relations/:id

Traverse the graph

GET /api/v1/knowledge/traverse?startId=<id>&relation=works_on&depth=2&limit=50

Search entities

GET /api/v1/knowledge/search?q=<query>&limit=10&minScore=0.5

Validate the graph

POST /api/v1/knowledge/validate

Behavior

  • When the user provides structured information: create entities with POST /api/v1/knowledge/entities.
  • When linking concepts: create relations with POST /api/v1/knowledge/relations.
  • When the user asks "what do I know about X?": search with GET /api/v1/knowledge/search?q=X, then traverse with GET /api/v1/knowledge/traverse to explore connections.
  • Periodically: call POST /api/v1/knowledge/validate to check graph constraints.

Shared Pools

  • The POST /api/v1/knowledge/entities and POST /api/v1/knowledge/relations endpoints accept an optional "poolId" field.
  • When poolId is provided, the entity or relation is shared with all pool members who have knowledge read access.
  • The agent must have readwrite access to the pool's knowledge module to write shared entities and relations.
  • Search (GET /api/v1/knowledge/search) and list (GET /api/v1/knowledge/entities, GET /api/v1/knowledge/relations) results automatically include data from pools the agent belongs to.
  • Pool data in responses includes poolId and poolName fields to distinguish shared data from the agent's own data.

Dreaming Integration

Knowledge entities and relations are affected by dream operations:

  • Duplicate entities: Entity pairs of the same type with similar names/embeddings are identified. The agent reviews each pair and decides: merge, keep both, or archive one. For merges, migrate relations from the archived entity to the survivor before archiving.
  • Orphan cleanup: Relations pointing to archived entities are automatically removed by Tier 1 dream operations (no agent action needed).
  • Knowledge graph enrichment: During dreaming, the agent can read recent memories and extract new entities and relations, creating them via POST /api/v1/knowledge/entities and POST /api/v1/knowledge/relations.

适合场景

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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

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能力 2

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能力 3

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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

OpenClaw

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按下载量换算1,209

安全审计

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敏感数据

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安装前确认

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