据 AlphaMoat 统计,截至 2026-09,Vanar Neutron Memory 累计下载 3,311 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 3,415 位,在「AI 智能体」分类(969 个)中排名第 701 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 101 | 3,158 | 1 | - |
| SkillHub ↗ | 297 | 3,311 | 1 | — |
各平台的计数口径不同,统计时间不一致。
它把对话、偏好与决策跨会话持久化,支持手动 save/search 命令,也可选择开启 Auto-Capture 与 Auto-Recall 钩子,在每轮 AI 前注入相关记忆。数据通过 HTTPS 发往 Neutron API,文档说明默认不发送任何数据,仅在运行命令或显式开启钩子时才上传明确保存的内容。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,311 | — | 1 |
| 2026-08 | 3,049 | +4.3% | 1 |
| 2026-07 | 2,922 | +8.9% | 1 |
| 2026-06 | 2,683 | +5.3% | 1 |
| 2026-05 | 2,549 | — | 1 |
| 2026-03 | 2,277 | — | 1 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: vanar-neutron-memory
description: Save and recall agent memory with semantic search. Context that persists across every session.
user-invocable: true
metadata: {"openclaw": {"emoji": "🧠", "requires": {"env": ["API_KEY"]}, "primaryEnv": "API_KEY"}}
---
# Neutron Memory
Every conversation, preference, and decision your agent makes can persist across sessions. Save what matters, and when you need it, semantic search finds the right context by meaning — not keywords. Every session builds on the last.
## How It Works
**Manual** — save and search with simple commands:
1. `./scripts/neutron-memory.sh save "user prefers dark mode" "Preferences"` — save context
2. `./scripts/neutron-memory.sh search "what theme does the user like"` — find it by meaning
**Automatic** (opt-in) — enable hooks to capture and recall automatically:
1. **Auto-Capture** saves conversations after each AI turn
2. **Auto-Recall** finds relevant memories before each AI turn and injects them as context
## Quick Start
See **[SETUP.md](SETUP.md)** for the full setup guide. TL;DR:
1. Get a free API key at **https://openclaw.vanarchain.com/** ($20 free credits, no credit card)
2. `export API_KEY=nk_your_key`
3. `./scripts/neutron-memory.sh test`
## Commands
### Save
```bash
./scripts/neutron-memory.sh save "Content to remember" "Title"
```
### Search
```bash
./scripts/neutron-memory.sh search "what do I know about X" 10 0.5
```
Arguments: `QUERY` `LIMIT` `THRESHOLD(0-1)`
### Diagnose
```bash
./scripts/neutron-memory.sh diagnose
```
Checks all prerequisites: curl, jq, API key, connectivity, and authentication.
## Hooks (Auto-Capture & Auto-Recall)
- `hooks/pre-tool-use.sh` — **Auto-Recall**: Queries memories before AI turn, injects relevant context
- `hooks/post-tool-use.sh` — **Auto-Capture**: Saves conversation after AI turn
Both are **disabled by default** (opt-in only). To enable:
```bash
export VANAR_AUTO_RECALL=true
export VANAR_AUTO_CAPTURE=true
```
## API Endpoints
- `POST /memory/save` — Save text (multipart/form-data)
- `POST /memory/search` — Semantic search (JSON body)
**Auth:** `Authorization: Bearer $API_KEY` — that's it. No other credentials needed.
## Security & Privacy
**No data is sent unless you run a command or explicitly enable auto-capture/auto-recall.** Both hooks are disabled by default.
This skill only sends data you explicitly save (or opt-in auto-captured conversations) to the Neutron API. Here's exactly what happens:
| Action | What's sent | Where |
|--------|------------|-------|
| **Save** | The text you pass to `save` or auto-captured conversation turns | `POST /memory/save` over HTTPS |
| **Search** | Your search query text | `POST /memory/search` over HTTPS |
| **Auto-Recall** | The user's latest message (used as search query) | `POST /memory/search` over HTTPS |
| **Auto-Capture** | `User: {message}\nAssistant: {response}` | `POST /memory/save` over HTTPS |
**What is NOT sent:**
- No local files are read or uploaded
- No environment variables (other than the API key for auth)
- No system information, file paths, or directory contents
- No data from other tools or skills
All communication is over HTTPS to `api-neutron.vanarchain.com`. The source code is fully readable in the `scripts/` and `hooks/` directories — three short bash scripts, no compiled binaries.
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。