技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 130 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：autosolutionsai-didac/agent-memory-setup
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's requested actions (creating memory files, checking/installing qmd and a lossless plugin, and advising config changes) are coherent with its stated purpose of setting up an agent memory system; no unexplained credentials, downloads from unknown URLs, or privilege escalations are present.
目的
Name/description promise (3-tier memory, semantic search, compaction) matches the provided artifacts: a setup script that creates the memory directory/files, checks for qmd, and attempts to install the lossless-claw plugin. Nothing requested is unrelated to memory setup.
说明范围
SKILL.md and the script stay within memory setup tasks (file creation, plugin checks, config reminders). However the included AGENTS_TEMPLATE.md contains strong runtime directives (e.g., 'Don't ask permission. Just do it.' and instructions to always read SOUL.md, USER.md, daily logs and MEMORY.md). That template affects agent runtime behavior and may lead the agent to read sensitive local workspace files every session; review/adjust that templ…
安装机制
This is instruction-only with a small bash script bundled (no opaque installers, no external arbitrary download URLs). The script suggests installing qmd (pip/pipx/brew) and uses 'openclaw plugins install' to fetch the lossless-claw plugin — both will contact package registries. This is expected for the stated purpose but you should verify the plugin/package sources before installing.
证书
The skill asks for no environment variables, credentials, or config paths. That is proportional. Be aware the runtime instructions and AGENTS.md template instruct the agent to read local files (memory/*.md, SOUL.md, USER.md) which can contain sensitive data even though no explicit credentials are requested.
持久
The skill is user-invocable, not always-enabled, and does not auto-modify global agent settings — it only prints instructions to edit openclaw.json and to restart the gateway. It does not request elevated privileges or modify other skills' configs.
综合结论
This package appears to do exactly what it says: create memory files, check/install qmd and a lossless plugin, and remind you to enable memory-related settings. Before running it: (1) Inspect AGENTS_TEMPLATE.md and remove or soften directives you don't want (the 'Don't ask permission' instruction can cause agents to read local files without explicit consent). (2) Confirm the provenance of qmd and @martian-engineering/lossless-claw before insta…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Agent Memory Setup」。简介：Set up the full OpenClaw agent memory system with 3-tier memory (HOT/WARM/COLD)…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/autosolutionsai-didac/agent-memory-setup/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: agent-memory-setup
description: Set up the full OpenClaw agent memory system with 3-tier memory (HOT/WARM/COLD), daily logs, semantic search (QMD), and lossless context management (Lossless Claw). Use when onboarding a new agent, setting up memory for a fresh OpenClaw instance, or when asked to install the memory system on a new agent. Triggers on "set up memory", "install memory system", "onboard new agent memory", "memory setup", "agent onboarding".
---
# Agent Memory Setup
Set up a complete 3-tier memory system for any OpenClaw agent. Includes directory structure, memory files, semantic search, and context compaction.
## What Gets Installed
1. **3-tier memory structure** (HOT → WARM → COLD)
2. **QMD** — semantic search over MEMORY.md and memory/*.md files
3. **Lossless Claw** — compacts old conversation into expandable summaries (prevents amnesia)
4. **AGENTS.md** — instructions the agent reads every session to use the memory system
5. **openclaw.json config** — enables memorySearch, compaction, context pruning, heartbeats
## Setup Steps
### Step 1: Run the setup script
```bash
bash scripts/setup_memory.sh /path/to/agent/workspace
```
This creates:
- `memory/`, `memory/hot/`, `memory/warm/` directories
- `memory/hot/HOT_MEMORY.md` (active session state)
- `memory/warm/WARM_MEMORY.md` (stable config & preferences)
- `MEMORY.md` (long-term archive)
- `memory/YYYY-MM-DD.md` (today's daily log)
- `memory/heartbeat-state.json` (heartbeat tracking)
It also checks for QMD and Lossless Claw, installing them if possible.
### Step 2: Copy the AGENTS.md template
Read `references/AGENTS_TEMPLATE.md` and write it to the agent's workspace as `AGENTS.md`. Adapt the heartbeat section to the agent's domain if needed (e.g., a CFO agent checks costs, a marketing agent checks social metrics).
### Step 3: Configure openclaw.json
Add to `agents.defaults` (or the specific agent config):
```json
"memorySearch": { "provider": "local" },
"compaction": { "mode": "safeguard" },
"contextPruning": { "mode": "cache-ttl", "ttl": "1h" },
"heartbeat": { "every": "1h" }
```
Enable these plugins for the agent:
```json
"session-memory": { "enabled": true },
"bootstrap-extra-files": { "enabled": true },
"lossless-claw": { "enabled": true }
```
### Step 4: Restart and verify
```bash
openclaw gateway restart
```
Verify:
- `qmd --version` returns a version
- `openclaw plugin list` shows lossless-claw
- All memory directories and files exist
## How the Tiers Work
| Tier | File | Purpose | Update Frequency |
|------|------|---------|-----------------|
| 🔥 HOT | `memory/hot/HOT_MEMORY.md` | Current task, pending actions | Every few turns |
| 🌡️ WARM | `memory/warm/WARM_MEMORY.md` | Stable preferences, API refs, gotchas | When things change |
| ❄️ COLD | `MEMORY.md` | Milestones, decisions, distilled lessons | Weekly/monthly |
Daily logs (`memory/YYYY-MM-DD.md`) capture raw session events. Periodically, the agent reviews daily logs and promotes important items up to COLD.
## Plugin Details
- **QMD**: Local semantic search engine. Enables `memory_search` to find relevant memories by meaning, not just keywords. Install: `pip install qmd`
- **Lossless Claw** (`@martian-engineering/lossless-claw`): Instead of losing old messages when context fills up, compacts them into summaries that can be expanded back. Install: `openclaw plugins install @martian-engineering/lossless-claw`