Mem0 Config

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...

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.

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.