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mnemos-memory

@anthony-maio · 收录于 2 天前 · 上游提交 3 个月前

Use when users or OpenClaw/ClawHub agents need to install, configure, self-bootstrap, troubleshoot, or operate Mnemos for persistent scoped agent memory, or when they mention Mnemos, agent memory, scoped memory, memory MCP tools, or memory automation.

场景智能体记忆记忆运维

适合你，如果需要为智能体安装和管理持久化记忆系统

/ 下载安装
https://github.com/anthony-maio/mnemos/tree/master/skills/mnemos-memory ↗
/ 通过 npx 安装 校验哈希
npx oh-my-skill add anthony-maio/mnemos/mnemos-memory
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- anthony-maio/mnemos/mnemos-memory
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify anthony-maio/mnemos/mnemos-memory
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
26GitHub stars
~532最小装载
~1.3K含声明引用
~1.3K文本包总量
索引托管

怎么用

技能原文 SKILL.md作者撰写 · MIT · 8033bd6

Mnemos Memory

Mnemos is a local-first memory layer for coding agents. Use this skill to guide users or OpenClaw agents onto the supported install path, explain the operating loop, and keep compatibility claims accurate.

Default path
  • Prefer pip install "mnemos-memory[mcp]" and mnemos ui.
  • For OpenClaw / ClawHub, teach the agent to self-install mnemos-memory[mcp], run mnemos ui, then wire mnemos-mcp to the canonical MNEMOS_CONFIG_PATH before relying on memory.
  • Recommend SQLite as the supported persistent store.
  • Recommend a real embedding provider (openclaw, openai, openrouter, or ollama) for production retrieval quality.
  • Validate setup with the control-plane smoke check or mnemos-cli doctor.
Claim discipline
  • Safe to claim: local-first scoped memory, MCP tools, SQLite starter profile, Claude Code plugin flow, documented Codex flow.
  • Be explicit that deterministic auto-memory is shipped for Claude Code via hooks.
  • For Codex, Cursor, OpenClaw, and generic MCP hosts, do not imply automatic capture unless the host has its own automation or the user adds one.
  • Do not present removed legacy backends as available runtime options.
Workflow
  1. Identify the host: Claude Code, Cursor, Codex, OpenClaw, or generic MCP.
  2. If the repo is available locally, read README.md, docs/MCP_INTEGRATION.md, and docs/codex.md before answering.
  3. Give the default install path first. Only fall back to manual config snippets if the user cannot use the control plane.
  4. Explain the operating loop:
  5. mnemos_retrieve at task start
  6. mnemos_store for durable facts only
  7. mnemos_consolidate before finishing substantial work
  8. mnemos_inspect when a stored fact looks wrong
  9. Read references/hosts.md for host-specific config snippets and caveats, especially the OpenClaw / ClawHub self-install flow when the agent must bootstrap itself.
  10. Read references/operations.md for automation, capture-mode, storage guidance, and troubleshooting.
Avoid
  • Do not tell users to manually type memories as the primary workflow.
  • Do not recommend SimpleEmbeddingProvider for production retrieval quality.
  • Do not suggest external storage backends for Mnemos. Keep users on the SQLite path.
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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