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Mem0 Config
作者
Cuong Pahm
· GitHub ↗
· v1.0.0
426
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当前安装
1
版本数
在 OpenClaw 中安装
/install mem0-config
功能描述
Install, configure, diagnose, and operate the openclaw-mem0 long-term memory plugin for OpenClaw agents. Use when the user wants to set up mem0 memory (platf...
安全使用建议
What to consider before installing:
- The SKILL.md expects either a Mem0 API key (platform mode) or local services (Ollama + Qdrant) for open-source mode. The registry metadata does NOT declare the MEM0_API_KEY requirement — treat that as an omission and be prepared to supply a Mem0 API key if you choose platform mode.
- This is an instruction-only skill: the skill bundle won't run code itself, but the instructions tell you to run commands that will install software, start services, and edit ~/.openclaw/openclaw.json. Only run those commands if you trust the plugin and the external software (mem0.ai, Ollama, Qdrant).
- If you want to avoid sharing data with mem0.ai, use open-source mode with local Ollama and Qdrant, and ensure they are running on localhost. If using platform mode, understand that memories may be sent to Mem0's API under the provided API key.
- Verify filesystem paths and permissions (historyDbPath must be an absolute, writable path or you'll hit SQLITE_CANTOPEN). The troubleshooting doc accurately warns about LaunchAgent working directories on macOS.
- Because the skill source/homepage is listed as unknown and no package code is bundled for review, consider locating the actual @mem0/openclaw-mem0 package source (npm/github) and reviewing it before running `openclaw plugins install`.
- Confidence is medium: the content is mostly coherent with the claimed purpose, but the undeclared MEM0_API_KEY and lack of provenance are notable gaps. Providing the declared env var requirement and a verifiable upstream homepage or package source would increase confidence.
功能分析
Type: OpenClaw Skill
Name: mem0-config
Version: 1.0.0
The skill bundle provides instructions for installing, configuring, and troubleshooting the openclaw-mem0 long-term memory plugin. All commands and documentation are clearly aligned with this stated purpose, involving standard system administration tasks like installing dependencies (Ollama, Qdrant via `brew` or `docker`), configuring the plugin, and diagnosing issues through log analysis (`grep`, `tail`, `python3 -c`). While the `SKILL.md` and `references/troubleshooting.md` files contain various shell commands and a complex `python3 -c` script for log parsing, these are transparently presented and serve legitimate diagnostic functions without any evidence of malicious intent, data exfiltration, or attempts to subvert the agent's behavior through prompt injection.
能力评估
Purpose & Capability
The SKILL.md describes installing and configuring @mem0/openclaw-mem0 and the steps (plugin install, platform vs open-source mode, Ollama/Qdrant setup, config changes to openclaw.json, restarting the gateway) are coherent with that purpose. However the registry metadata claims no required env vars/credentials while the documentation shows a MEM0_API_KEY for platform mode and a userId—so the declared requirements do not fully match the documented runtime needs.
Instruction Scope
Instructions are concrete and stay on-topic: installing plugin, running brew/docker/ollama, checking local endpoints, editing openclaw.json, restarting the gateway, examining logs and DB file paths. They reference system files and service management (logs under ~/.openclaw, absolute historyDbPath, launchctl commands) which is expected for configuring an agent plugin but does require filesystem and service management actions by the operator.
Install Mechanism
This is an instruction-only skill (no install spec, no shipped code). That minimizes what the skill itself writes to disk. The instructions ask the operator to run external installers (brew, docker, ollama) and to install a plugin via `openclaw plugins install` — these are normal for this type of task.
Credentials
The registry lists no required env vars or primary credential, but SKILL.md shows a platform mode that requires MEM0_API_KEY (shown as ${MEM0_API_KEY}) and instructs including it in openclaw.json. This mismatch is material: a secret/API key is needed in at least one documented mode but is not declared by the skill metadata. No other unexpected credentials are requested, but the missing declaration reduces transparency and is a proportionality concern.
Persistence & Privilege
always: false and normal autonomous invocation settings. The skill's instructions involve editing openclaw.json and restarting the gateway — expected for plugin configuration. There is no instruction to modify other skills' configs or system-wide agent settings beyond the plugin's own config.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install mem0-config - 安装完成后，直接呼叫该 Skill 的名称或使用
/mem0-config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
版本历史
v1.0.0
Initial release. Full install guide (platform + OSS mode), Qdrant/Ollama setup, historyDbPath fix for macOS LaunchAgent SQLITE_CANTOPEN crash loop, CLI usage, agent tools, and troubleshooting reference.
元数据
常见问题
Mem0 Config 是什么？
Install, configure, diagnose, and operate the openclaw-mem0 long-term memory plugin for OpenClaw agents. Use when the user wants to set up mem0 memory (platf... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 426 次。
如何安装 Mem0 Config？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mem0-config」即可一键安装，无需额外配置。
Mem0 Config 是免费的吗？
是的，Mem0 Config 完全免费（开源免费），可自由下载、安装和使用。
Mem0 Config 支持哪些平台？
Mem0 Config 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 Mem0 Config？
由 Cuong Pahm（@nyrosveil）开发并维护，当前版本 v1.0.0。
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