Token导航 LogoToken导航TokenDH.com
研究检索external-serviceclawhub未标认证来源可访问clear审计提醒

nexo-brain内克索大脑

Agent Skill

nexo-brain 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

45,982

周安装

1,955

GitHub Stars

1

下载量

16,109
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nexo-brain(内克索大脑)
来源仓库:https://github.com/wazionapps/nexo-brain
安装命令:
openclaw skills install nexo-brain
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install nexo-brain

简介

AI 代理认知记忆系统,基于 Atkinson-Shiffrin 模型构建经验沉淀机制。

  • 记录错误、纠正与能力缺口,持续优化 Agent 行为策略。
  • 结合语义 RAG 与信任评分实现自适应学习。
  • 安装命令:openclaw skills install nexo-brain;需写入本地知识库权限。
  • 注意长期积累可能导致缓存膨胀,建议定期清理低价值记忆。

SKILL.md

name
nexo-brain
description
Cognitive memory system for AI agents — Atkinson-Shiffrin memory model, semantic RAG, trust scoring, and metacognitive error prevention. Gives your agent persistent memory that learns, forgets, and adapts.
version
7.12.2
metadata
openclaw
requires
bins
emoji
🧠
homepage
https://github.com/wazionapps/nexo
os
install
kind
node
package
nexo-brain
bins
label
Install NEXO Brain (npm)

NEXO Brain — Cognitive Memory for Your Agent

NEXO Brain gives your agent persistent memory modeled after human cognition. It remembers across sessions, learns from mistakes, naturally forgets what's irrelevant, and builds a trust-based relationship with you.

Setup

If your OpenClaw client shows an install action for this skill, use that first. It installs the nexo-brain package via your configured Node package manager.

If you are setting it up manually, install the cognitive engine:

npx nexo-brain

After NEXO Brain is installed, add the MCP server to your OpenClaw config (~/.openclaw/openclaw.json):

{
  "mcp": {
    "servers": {
      "nexo-brain": {
        "command": "python3",
        "args": ["~/.nexo/server.py"],
        "env": {
          "NEXO_HOME": "~/.nexo"
        }
      }
    }
  }
}

Restart the gateway: openclaw gateway restart

What You Get

Key MCP capabilities include:

  • Cognitive Memory — RAG-powered semantic search, trust scoring, sentiment detection, cognitive dissonance resolution
  • Guard System — Checks "have I made this mistake before?" before every code change
  • Episodic Memory — Change logs, decision logs with reasoning, session diaries for continuity
  • Learnings — Error patterns and prevention rules, searchable by category
  • Session Management — Startup, heartbeat, multi-session coordination
  • Reminders & Followups — Track user tasks and system verification tasks separately
  • Entities & Preferences — Remember people, services, URLs, and observed user preferences
  • Backup & Evolution — SQLite backup with retention, self-improvement proposals

How Memory Works

NEXO implements the Atkinson-Shiffrin memory model (1968):

  1. Sensory Register — Raw capture, 48h retention
  2. Short-Term Memory — 7-day half-life, promoted if used frequently
  3. Long-Term Memory — 60-day half-life, semantic search by meaning

Memories naturally decay via Ebbinghaus forgetting curves. Accessing a memory reinforces it. Automated "sleep cycles" consolidate, prune, and merge memories.

Key Tools

ToolWhen to Use
nexo_startupOnce at session start — registers session, returns active sessions
nexo_heartbeatEvery interaction — updates task, checks inbox
nexo_cognitive_retrieveSemantic search across all memories
nexo_guard_checkBefore editing code — checks for past errors
nexo_learning_addAfter resolving an error — prevents recurrence
nexo_session_diary_writeBefore closing session — enables continuity
nexo_cognitive_trustAfter user feedback — calibrates rigor level

Privacy

Everything stays local. Two SQLite databases in ~/.nexo/. No telemetry, no cloud APIs. Vector search runs on CPU via fastembed.

More Info

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.98%
按下载量换算11,756

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills