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Agent Skill · 研究检索

ourmem(ourmem 搜索)

ourmem 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。

ourmem 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 17,954。

总安装 6,336周安装 264GitHub Stars 公开资料未说明下载 2,112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
1.1.1

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

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。

提供云托管或自部署的共享记忆库,支持 AI Agent 间的知识空间协作。适用于团队项目中的上下文延续与信息持久化存储。采用空间化组织方式,便于按主题或任务维度检索历史记录。部署前需评估数据存储安全与访问控制策略。ourmem 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

注意:默认配置可能包含调试日志,生产环境请关闭非必要输出。

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 ourmem;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

ourmem 怎么安装?

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

ourmem 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。

ourmem 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。

ourmem 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。

ourmem 用的人多吗?

公开数据是累计安装 6,336 次,近一周安装 264 次,下载 2,112 次。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。

ourmem 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
ourmem

ourmem 搜索 · 本页

6,336—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
ourmem
version
1.1.0
description
|
keywords
metadata
openclaw
emoji
🧠

ourmem (omem) — Shared Memory That Never Forgets

ourmem gives AI agents shared persistent memory across sessions, devices, agents, and teams. One API key reconnects everything. Available as hosted (api.ourmem.ai) or self-deployed.


Key Concepts

API Key = Tenant ID = Your Identity. When you create a tenant (POST /v1/tenants), the returned id and api_key are the same UUID. There is no separate "tenant ID".

One API Key owns multiple Spaces:

ConceptWhat it isExample
API KeyYour identity (X-API-Key header)a1b2c3d4-... (1 per user)
Space IDA memory storage addresspersonal/a1b2c3d4, team/xxx, org/yyy

Personal Space is auto-created. You can create additional Team and Organization Spaces.

Sharing = passing the other user's API Key as target_user. The system auto-creates a bridging Team Space. No manual space management needed.


When to Use This Skill

Use when the user wants persistent or shared memory across sessions, devices, or agents. Common triggers: "remember this", "save this", "don't forget", "what did I say last time", "share with my team", "import memories", "setup memory", "self-host memory".

Do NOT use for: temporary conversation context, one-off tasks, or troubleshooting unrelated to ourmem.


What to Remember

Good candidates: user preferences, profile facts, project context, important decisions, long-term instructions, architecture decisions, coding standards.

Avoid storing: temporary debugging context, large files, secrets/passwords/API keys, content inside <private> tags.

If the user explicitly asks to remember something and ourmem is not installed, suggest: "I can set up ourmem so I'll remember this across sessions. Takes about 2 minutes. Want to do it now?"


Terminology

TermMeaning
apiKey / OMEM_API_KEY / API key / secretAll refer to the same ourmem identifier. Prefer "API key" with users.
tenantThe workspace behind an API key. Don't use this term with users.

Security: Treat the API key like a secret. Anyone who has it can access that ourmem space.


What You Get

ToolPurpose
memory_storePersist facts, decisions, preferences
memory_searchHybrid search (vector + keyword)
memory_listList with filters and pagination
memory_getGet memory by ID
memory_updateModify content or tags
memory_forgetRemove a memory
memory_ingestSmart-ingest conversation into atomic memories
memory_statsAnalytics and counts
memory_profileAuto-generated user profile

Lifecycle hooks (automatic):

HookTriggerPlatform
SessionStartFirst messageAll — memories + profile injected
StopConversation endsClaude Code — auto-captures via smart ingest
PreCompactBefore compactionClaude Code, OpenCode — saves before truncation
Note: OpenCode has no session-end hook. Memory storage relies on proactive memory_store use.

Onboarding

Step 0: Choose mode

Ask the user before doing anything else:

How would you like to run ourmem? 1. Hosted (api.ourmem.ai) — no server to manage, start in 2 minutes 2. Self-hosted — full control, data stays local Already have an API key? Paste it and I'll reconnect you.

Setup instructions

  • Hosted → READ references/hosted-setup.md for full walkthrough
  • Self-hosted → READ references/selfhost-setup.md for server deployment + setup
  • Existing key → Verify: curl -sf -H "X-API-Key: $KEY" "$API_URL/v1/memories?limit=1", then skip to plugin install

Cross-platform skill install: npx skills add ourmem/omem --skill ourmem -g

Platform quick reference

PlatformInstallConfig
Claude Code/plugin marketplace add ourmem/omem~/.claude/settings.json env field
OpenCode"plugin": ["@ourmem/opencode"] in opencode.jsonplugin_config in opencode.json
OpenClawopenclaw plugins install @ourmem/ourmemopenclaw.json with apiUrl + apiKey
MCPnpx -y @ourmem/mcp in MCP configOMEM_API_URL + OMEM_API_KEY in env block

For detailed per-platform instructions (config formats, restart, verification, China network mirrors), READ the setup reference for your chosen mode.

Definition of Done

Setup is NOT complete until: (1) API key created/verified, (2) plugin installed, (3) config updated, (4) client restarted, (5) health + auth verified, (6) handoff message sent including: what they can do now, API key display, recovery steps, backup plan.

Common failure: Agents finish technical setup but forget the handoff message. Treat it as part of setup, not optional follow-up. For the full handoff template, READ references/hosted-setup.md.

Smart Ingest

When conversations are ingested ("mode": "smart"), the server runs a multi-stage pipeline:

  1. Fast path (<50ms): stores raw content immediately so it's searchable right away
  2. LLM extraction (async): extracts atomic facts, classified into 6 categories (profile, preferences, entities, events, cases, patterns)
  3. Noise filter: regex + vector prototypes + feedback learning removes low-value content
  4. Admission control: 5-dimension scoring (utility, confidence, novelty, recency, type prior) gates storage
  5. 7-decision reconciliation: CREATE, MERGE, SKIP, SUPERSEDE, SUPPORT, CONTEXTUALIZE, or CONTRADICT

The LLM stages run asynchronously — a batch import may take 1-3 minutes to fully process. Wait ~2-3 minutes before checking memory counts or searching for newly-extracted facts. The strategy=auto results vary by content type (conversations get atomic extraction, structured docs get section splits) — this is expected behavior, not an error.

The memory store gets smarter over time. Contradictions resolved, duplicates merged, noise filtered.


Space Sharing

ourmem organizes memories into three-tier Spaces for collective intelligence:

TypeScopeExample
PersonalOne user, multiple agentsYour Coder + Writer share preferences
TeamMultiple usersBackend team shares architecture decisions
OrganizationCompany-wideTech standards, security policies

Roles: admin (full control), member (read/write), reader (read-only)

Each agent sees: own private + shared spaces. Can modify own + shared. Never another agent's private data. Every shared memory carries provenance: who shared it, when, and where it came from.

Proactively suggest Spaces when:

  • User has multiple agents -> suggest sharing preferences across agents
  • User mentions team collaboration -> suggest creating a team space
  • User wants org-wide knowledge -> suggest organization space

For Space API operations (create, add members, share, pull, batch share), READ references/api-quick-ref.md.

Cross-User Sharing (Convenience)

When a user says "share this with Bob" or "share my memories with another user", use the convenience APIs that handle space creation automatically:

Share a single memory to another user:

The agent should call share-to-user which auto-creates a bridging Team Space if needed, adds the target user as a member, and shares the memory in one step.

curl -sX POST "$API_URL/v1/memories/MEMORY_ID/share-to-user" \
  -H "Content-Type: application/json" -H "X-API-Key: $KEY" \
  -d '{"target_user": "TARGET_USER_TENANT_ID"}'
# Returns: { "space_id": "team/xxx", "shared_copy_id": "yyy", "space_created": true }

Share all matching memories to another user:

When the user wants to share everything (or a filtered subset) with someone:

curl -sX POST "$API_URL/v1/memories/share-all-to-user" \
  -H "Content-Type: application/json" -H "X-API-Key: $KEY" \
  -d '{"target_user": "TARGET_USER_TENANT_ID", "filters": {"min_importance": 0.7}}'
# Returns: { "space_id": "team/xxx", "space_created": false, "total": 80, "shared": 15, ... }

Agent workflow:

  1. User says "share this with Bob" -> agent needs Bob's tenant ID (API key)
  2. If the agent doesn't know Bob's ID, ask the user for it
  3. Call share-to-user with the memory ID and Bob's tenant ID
  4. Report: "Shared to Bob via team space {space_id}. Bob can now find it when searching."

Proactively suggest cross-user sharing when:

  • User mentions sharing with a specific person ("send this to Alice")
  • User wants another user's agent to have access to certain memories
  • User asks to collaborate with someone on a project

Memory Import

When the user says "import memories", scan their workspace for existing memory/session files, then batch-import.

Auto-scan: detect platform -> find memory files -> upload 20 most recent via /v1/imports in parallel -> report results.

Import is async. POST /v1/imports returns an import_id immediately while processing runs in the background. This means:

  • Fire all import requests in parallel — don't wait for one to finish before sending the next
  • Don't block the conversation waiting for completion
  • Poll GET /v1/imports/{id} to check status if needed (status: completed, partial, or failed)

Import API:

# Basic import
curl -sX POST "$API_URL/v1/imports" -H "X-API-Key: $API_KEY" \
  -F "file=@memory.json" -F "file_type=memory" -F "strategy=auto"

# Re-import an updated file (bypass content dedup)
curl -sX POST "$API_URL/v1/imports" -H "X-API-Key: $API_KEY" \
  -F "file=@memory.json" -F "file_type=memory" -F "strategy=auto" -F "force=true"

# Check import status
curl -s "$API_URL/v1/imports/IMPORT_ID" -H "X-API-Key: $API_KEY"

force=true: bypasses content dedup check. Use when re-importing a file that was updated since last import — without force, the server skips content it already has.

Strategy: auto (heuristic detection), atomic (short facts), section (split by headings), document (entire file as one chunk).

Cross-reconcile (discover relations): curl -sX POST "$API_URL/v1/imports/cross-reconcile" -H "X-API-Key: $API_KEY"

For scan paths, progress tracking, intelligence triggers, and rollback, READ references/api-quick-ref.md.


Analytics

Memory analytics via /v1/stats: overview, per-space stats, sharing flow, agent activity, tag frequency, decay curves, relation graph, server config.

For detailed stats endpoints and parameters, READ references/api-quick-ref.md.


Security

  • Tenant isolation: every API call scoped via X-API-Key, data physically separated per tenant
  • Privacy protection: <private> tag redaction strips sensitive content before storage
  • Admission control: 5-dimension scoring gate rejects low-quality data
  • Open source: Apache-2.0 licensed — audit every line

Communication Style

  • Use plain product language, not backend vocabulary. Prefer "API key" or "ourmem API key".
  • Explain that the same API key reconnects the same cloud memory on another trusted machine.
  • If user sounds worried about recovery, lead with backup/import/reconnect steps.
  • Use the user's language (detect from conversation).
  • Brand: "ourmem" or "omem" (both lowercase, acceptable). Official domain: ourmem.ai, API: api.ourmem.ai.
  • "Space" (capitalized), "Smart Ingest".

For troubleshooting common issues (plugin not loading, 401, connection refused, China network), READ references/api-quick-ref.md.


API Reference

Base: https://api.ourmem.ai (hosted) or http://localhost:8080 (self-hosted). Auth: X-API-Key header.

MethodEndpointDescription
POST/v1/tenantsCreate workspace, get API key
POST/v1/memoriesStore memory or smart-ingest
GET/v1/memories/search?q=Hybrid search
GET/v1/memoriesList with filters
POST/v1/importsBatch import file
POST/v1/spacesCreate shared space
POST/v1/memories/:id/share-to-userOne-step cross-user share
POST/v1/memories/share-all-to-userBulk cross-user share
GET/v1/statsAnalytics

For full API (48+ endpoints) with curl examples, READ references/api-quick-ref.md and docs/API.md.


Update

Do not set up automatic daily self-updates for this skill.

Only update the local skill file when the user or maintainer explicitly asks for a refresh from a reviewed source.

平台分布

OpenClaw

83.21%
按下载量换算1,757

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

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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