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wazionapps

NEXO Brain

by wazionapps · GitHub ↗ · v7.33.0 · MIT-0
darwinlinux ✓ Security Clean
5658
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3
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3
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235
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Install in OpenClaw
/install nexo-brain
Description
Cognitive memory system for AI agents — Atkinson-Shiffrin memory model, semantic RAG, trust scoring, and metacognitive error prevention. Gives your agent per...
README (SKILL.md)

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

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

Usage Guidance
Install only if you want your agent to keep local memory across sessions. Review what it stores in `~/.nexo/`, avoid saving sensitive secrets unless you intend them to persist, and remember that the external npm package provides the actual MCP server implementation.
Capability Assessment
Purpose & Capability
The stated purpose is persistent cognitive memory for AI agents, and the described capabilities—semantic retrieval, guard checks, session diaries, preferences, reminders, and trust scoring—fit that purpose.
Instruction Scope
The skill asks the agent to use startup once per session, heartbeat every interaction, guard checks before code edits, and retrieval across memories; this is broad, but it is disclosed as part of the memory system rather than hidden behavior.
Install Mechanism
Installation is via the external npm package `nexo-brain`, which installs bins and runs a Python MCP server from `~/.nexo/server.py`; the skill artifact discloses this, but the package implementation is not included in the artifact text reviewed here.
Credentials
Local SQLite databases in `~/.nexo/`, CPU vector search, and no claimed cloud APIs are proportionate for an on-device memory/RAG tool.
Persistence & Privilege
The skill intentionally persists agent memory across sessions and mentions automated consolidation/pruning; users should understand this can retain interaction history, preferences, entities, and task context.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install nexo-brain
  3. After installation, invoke the skill by name or use /nexo-brain
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v7.33.0
Release v7.33.0
v7.32.0
Release v7.32.0
v7.31.13
Release v7.31.13
v7.31.12
Release v7.31.12
v7.31.11
Release v7.31.11
v7.31.10
Release v7.31.10
v7.31.9
Release v7.31.9
v7.31.8
Release v7.31.8
v7.31.7
Release v7.31.7
v7.31.5
Release v7.31.5
v7.31.4
Release v7.31.4
v7.31.3
Release v7.31.3
v7.31.2
Release v7.31.2
v7.31.1
Release v7.31.1
v7.31.0
Release v7.31.0
v7.30.28
Release v7.30.28
v7.30.27
Release v7.30.27
v7.30.26
Release v7.30.26
v7.30.25
Release v7.30.25
v7.30.24
Release v7.30.24
Metadata
Slug nexo-brain
Version 7.33.0
License MIT-0
All-time Installs 4
Active Installs 3
Total Versions 235
Frequently Asked Questions

What is NEXO Brain?

Cognitive memory system for AI agents — Atkinson-Shiffrin memory model, semantic RAG, trust scoring, and metacognitive error prevention. Gives your agent per... It is an AI Agent Skill for Claude Code / OpenClaw, with 5658 downloads so far.

How do I install NEXO Brain?

Run "/install nexo-brain" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is NEXO Brain free?

Yes, NEXO Brain is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does NEXO Brain support?

NEXO Brain is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).

Who created NEXO Brain?

It is built and maintained by wazionapps (@wazionapps); the current version is v7.33.0.

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