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.
Best use case
mnemos-memory is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using mnemos-memory should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mnemos-memory/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mnemos-memory Compares
| Feature / Agent | mnemos-memory | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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.
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