Skills mnemos-memory

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.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/anthony-maio/mnemos-memory" ~/.claude/skills/clawdbot-skills-mnemos-memory && rm -rf "$T"
manifest: skills/anthony-maio/mnemos-memory/SKILL.md
source content

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:
    • mnemos_retrieve
      at task start
    • mnemos_store
      for durable facts only
    • mnemos_consolidate
      before finishing substantial work
    • mnemos_inspect
      when a stored fact looks wrong
  5. Read
    references/hosts.md
    for host-specific config snippets and caveats, especially the OpenClaw / ClawHub self-install flow when the agent must bootstrap itself.
  6. 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.