nexo-brain - SKILL.md Agent Skill

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: 7.31.11 metadata: openclaw: requires: bins: - python3 emoji: "🧠" homepage: https://github.com/wazionapps/nexo os: - darwin - linux install: - id: npm kind: node package: nexo-brain bins: - nexo - nexo-brain 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):

Sensory Register — Raw capture, 48h retention
Short-Term Memory — 7-day half-life, promoted if used frequently
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

Tool	When to Use
`nexo_startup`	Once at session start — registers session, returns active sessions
`nexo_heartbeat`	Every interaction — updates task, checks inbox
`nexo_cognitive_retrieve`	Semantic search across all memories
`nexo_guard_check`	Before editing code — checks for past errors
`nexo_learning_add`	After resolving an error — prevents recurrence
`nexo_session_diary_write`	Before closing session — enables continuity
`nexo_cognitive_trust`	After 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

GitHub
npm