/install qoris-memory-mcp
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_memorytool calls. Nothing else. - Where it's stored:
https://mcp.qoris.ai/mcp(TLS), scoped to yourQORIS_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 atqoris.ai/dashboard. - Retention: per the retention policy at
https://qoris.ai/privacy. You can delete individual memories withdelete_memoryor 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_KEYis 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
- Create an account at
qoris.ai - Navigate to your workspace dashboard
- Copy your
QORIS_API_KEYandQORIS_WORKSPACE_ID - 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:
[email protected]
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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install qoris-memory-mcp - 安装完成后,直接呼叫该 Skill 的名称或使用
/qoris-memory-mcp触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Qoris Memory — Persistent Agent Memory 是什么?
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 c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 75 次。
如何安装 Qoris Memory — Persistent Agent Memory?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qoris-memory-mcp」即可一键安装,无需额外配置。
Qoris Memory — Persistent Agent Memory 是免费的吗?
是的,Qoris Memory — Persistent Agent Memory 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Qoris Memory — Persistent Agent Memory 支持哪些平台?
Qoris Memory — Persistent Agent Memory 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Qoris Memory — Persistent Agent Memory?
由 Qoris AI(@qoris-ai)开发并维护,当前版本 v1.0.5。