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qoris-memory-mcpqoris 记忆 MCP

Agent Skill

qoris-memory-mcp 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

2,620

周安装

106

GitHub Stars

1

下载量

823
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:qoris-memory-mcp(qoris 记忆 MCP)
来源仓库:https://github.com/qoris-ai/qoris-memory-mcp
安装命令:
openclaw skills install qoris-memory-mcp
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 qoris-memory-mcp

简介

qoris 记忆 MCP 提供跨会话持久化内存存储,支持显式调用工具。

  • 适用于长期上下文保持、用户偏好记忆等连续性交互场景。
  • 通过 clawhub 安装,命令为 openclaw skills install qoris-memory-mcp,需自备 API 密钥。
  • 使用前请加密敏感数据,禁止自动同步至公共服务器。
  • 建议定期清理过期条目,防止内存占用无限制增长。

SKILL.md

name
Qoris Memory — Persistent Agent Memory
description
Persistent memory for OpenClaw agents via the Qoris MCP server. Explicit save/recall tools for cross-session context. User-owned API key, no automatic data capture.
version
1.0.5
author
qorisai
homepage
https://qoris.ai
repository
https://github.com/QORIS-AI/qoris-memory-openclaw-skill
tags
metadata
clawdis
primaryEnv
QORIS_API_KEY
homepage
https://qoris.ai
skillKey
qoris-memory-mcp
requires
env

Qoris Memory — Persistent Agent Memory

Purpose

This skill connects your OpenClaw agent to the Qoris MCP server so it can persist memories you explicitly save — across sessions, with version history and semantic search.

Important: memories are saved only when your agent calls save_memory (or you run a memory command). The skill does not monitor, capture, or silently persist conversation content. Nothing is transmitted until you make an explicit tool call.

Data Handling & Privacy

This skill sends data to an external service. Understand what before installing:

  • What gets sent: only the exact content you pass to save_memory / search_knowledge / update_memory tool calls. Nothing else.
  • Where it's stored: https://mcp.qoris.ai/mcp (TLS), scoped to your QORIS_WORKSPACE_ID. Your workspace is isolated from other users.
  • Who can read it: only holders of your QORIS_API_KEY. The key is yours, generated by you at qoris.ai/dashboard.
  • Retention: per the retention policy at https://qoris.ai/privacy. You can delete individual memories with delete_memory or rotate the API key in your dashboard to invalidate all access.
  • No auto-capture: there is no automatic memory mode. Every persisted memory corresponds to an explicit tool call your agent made.
  • Credential ownership: QORIS_API_KEY is your own per-user secret. No credentials are bundled with this skill. Treat the key as sensitive — create a restricted workspace for shared or enterprise use.

What Qoris Memory Does

Explicit cross-session save/recall

Your agent can persist information it decides is worth remembering via the save_memory tool, and recall it later via search_knowledge or get_memories. Memories survive across sessions and remain available until you delete them.

Versioned records

Every memory update is a versioned record with a timestamp. You can see the history of what was stored and when via get_document_full_content.

Memory branches

Create separate memory contexts (branches) for different projects, clients, or workspaces. Your agent operates in the right context for the right task.

Conflict surfacing

When multiple agents update the same memory, the MCP server surfaces contradictions for human resolution rather than silently overwriting.

Shared workspace memory

Memory is workspace-scoped. Agents sharing the same QORIS_WORKSPACE_ID share the same memory pool. Your team can coordinate through a shared knowledge base.

Semantic search

search_knowledge runs a semantic search across stored memories and returns cited answers grounded in what was actually stored — no hallucination.

Available Memory Tools

These are the only tools this skill exposes. Each is an explicit, user-triggered action — nothing runs automatically.

save_memory

Store a new memory with optional tags and metadata. Content is the exact string you pass.

get_memories

Retrieve memories the agent has previously stored, optionally filtered by tag or date.

search_knowledge

Semantic search across stored memories. Returns the most relevant records with their content.

update_memory

Update an existing memory record. Creates a new version, old version retained for audit.

delete_memory

Remove a memory. Deletion is logged in the audit trail.

list_knowledge_documents

List documents indexed in the knowledge base.

get_document_full_content

Retrieve the full content of a specific knowledge document.

Setup Instructions

Step 1 — Get your Qoris credentials

  1. Create an account at qoris.ai
  2. Navigate to your workspace dashboard
  3. Copy your QORIS_API_KEY and QORIS_WORKSPACE_ID
  4. Add them to your environment:
export QORIS_API_KEY="your-api-key-here"
export QORIS_WORKSPACE_ID="your-workspace-id-here"

Step 2 — Connect Qoris Memory MCP server

Add to your OpenClaw configuration:

{
  "mcpServers": {
    "qoris-memory": {
      "url": "https://mcp.qoris.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${QORIS_API_KEY}",
        "X-Workspace-ID": "${QORIS_WORKSPACE_ID}"
      }
    }
  }
}

Step 3 — Verify memory is active

Start a new OpenClaw session and run:

/memory status

Memory + Knox Governance

Optional: pair with knox-governance for audit logging of every memory read and write:

clawhub install knox-governance
clawhub install qoris-memory-mcp

Constraints

Memory is workspace-scoped. Free tier includes up to 1,000 memories and 500MB knowledge storage. Paid plans unlock unlimited memories and storage.

Support and Documentation

  • Documentation: https://docs.qoris.ai/memory
  • Dashboard: https://qoris.ai/dashboard
  • Privacy policy: https://qoris.ai/privacy
  • Source: https://github.com/QORIS-AI/qoris-memory-openclaw-skill
  • Support: eliel@qoris.ai

About Qoris AI

Qoris AI builds the trust and governance layer for enterprise AI agents. NVIDIA Inception Program member. Claude Partner Network member. Patent pending U.S. 63/907,730. Based in Stamford, CT.

qoris.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

OpenClaw

87.14%
按下载量换算717

安全审计

VirusTotal

通过

ClawScan

通过

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

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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