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swarmrecall-memory群体回忆记忆

Agent Skill

swarmrecall-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

3,911

周安装

168

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下载量

1,371
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-memory(群体回忆记忆)
来源仓库:https://github.com/waydelyle/swarmrecall-memory
安装命令:
openclaw skills install swarmrecall-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 swarmrecall-memory

简介

swarmrecall-memory 实现会话记忆的持久化与语义检索。

  • 适合在 OpenClaw 中维护跨会话上下文连续性。
  • 通过 clawhub 安装,利用矢量嵌入存储代理记忆片段。
  • 使用前应确认是否支持加密存储及多代理共享机制。
  • 推荐给需要长程依赖建模的对话系统项目。swarmrecall-memory 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-memory
description
Conversational memory persistence with semantic search and session tracking via the SwarmRecall API. Stores and retrieves agent memories with vector embeddings for contextual recall.
metadata
openclaw
emoji
\F9E0
requires
env
[SWARMRECALL_API_KEY]
primaryEnv
SWARMRECALL_API_KEY
privacyPolicy
Memory content 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. Memories 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
[memory, ai-agents, semantic-search, persistence, recall]

SwarmRecall Memory

Conversational memory persistence with semantic search and session tracking 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
  • Memory content 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

Store a memory

POST /api/v1/memory
{
  "content": "User prefers dark mode",
  "category": "preference",   // fact | preference | decision | context | session_summary
  "importance": 0.8,           // 0.0 to 1.0
  "tags": ["ui"],
  "metadata": {},
  "poolId": "<uuid>"           // optional — write to shared pool
}

Search memories

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

List memories

GET /api/v1/memory?category=preference&limit=20&offset=0&includeArchived=false

Get a memory

GET /api/v1/memory/:id

Update a memory

PATCH /api/v1/memory/:id
{ "importance": 0.9, "tags": ["updated"], "archived": false }

Delete a memory

DELETE /api/v1/memory/:id

Start a session

POST /api/v1/memory/sessions
{
  "context": {},
  "poolId": "<uuid>"           // optional — write to shared pool
}

Get current session

GET /api/v1/memory/sessions/current

Update a session

PATCH /api/v1/memory/sessions/:id
{ "summary": "Discussed project setup", "ended": true }

List sessions

GET /api/v1/memory/sessions?limit=20&offset=0

Behavior

  • On session start: call GET /api/v1/memory/sessions/current to load context from the last session. If none, call POST /api/v1/memory/sessions to start one.
  • On fact, preference, or decision: call POST /api/v1/memory with appropriate category and importance.
  • On recall needed: call GET /api/v1/memory/search?q=<query> and use returned memories to inform your response.
  • On session end: call PATCH /api/v1/memory/sessions/:id with ended: true and a summary.

Shared Pools

  • The POST /api/v1/memory and POST /api/v1/memory/sessions endpoints accept an optional "poolId" field.
  • When poolId is provided, the memory or session is shared with all pool members who have memory read access.
  • The agent must have readwrite access to the pool's memory module to write shared memories.
  • Search (GET /api/v1/memory/search) and list (GET /api/v1/memory) 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

Memory is the primary target of dream operations. During a dream cycle:

  • Duplicate clusters: Groups of similar memories are identified by the dream service. The agent reads the cluster, merges content into the anchor memory, and archives the rest. Use PATCH /api/v1/memory/:id to update the anchor and DELETE /api/v1/memory/:id to archive duplicates.
  • Session summaries: Unsummarized sessions are flagged. The agent reads session memories via GET /api/v1/memory?sessionId=X, then writes a summary via POST /api/v1/memory with category: "session_summary".
  • Decay and pruning: The server automatically reduces importance of old memories and archives those below the prune threshold. Memories with category: "session_summary" or tag "pinned" are protected.
  • Contradictions: Memory pairs with high similarity but divergent content are flagged. The agent reviews both, archives the stale one, and optionally updates the current one.

To protect a memory from pruning, add the "pinned" tag:

PATCH /api/v1/memory/:id
{ "tags": ["pinned", ...existing_tags] }

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

OpenClaw

76.44%
按下载量换算1,048

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

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

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来源信息

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