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Nexo

Cognitive memory for AI agents with Atkinson-Shiffrin memory model (STM/LTM/sensory register), semantic RAG, Ebbinghaus decay, trust scoring, and 76+ MCP tools.

knowledge-memoryrustairagagent
By wazionapps
278Updated 1 day agoPythonNOASSERTION

Installation

npx -y nexo

Configuration

{
  "mcpServers": {
    "nexo": {
      "command": "npx",
      "args": ["-y", "nexo"]
    }
  }
}

How to use

  1. Run the installation command above (if needed)
  2. Open your Claude Code settings file (~/.claude/settings.json)
  3. Add the configuration to the mcpServers section
  4. Restart Claude Code to apply changes

NEXO runtime core

This repository contains the local runtime core that powers NEXO Desktop.

NEXO Desktop is the public product and the supported user-facing installer, update channel, onboarding surface, settings UI, and support path. The legacy nexo-brain package and binary names remain temporarily for install/update compatibility only; they are not a separate product line.

Current contract

  • Version 7.38.7 is the current packaged-runtime line
  • Public product: NEXO Desktop
  • Runtime role: local NEXO core bundled with Desktop
  • Active systems: local memory, Deep Sleep, Evolution support-ticket mode, Skills, Watchdog, followups, doctor diagnostics, and MCP tooling
  • Evolution mode: enabled by default for Desktop-managed installs; it never opens GitHub branches, pushes, PRs, transcripts, local databases, or raw private evidence, and routes product-improvement requests through sanitized support tickets
  • Distribution: Desktop installers and update manifests are published through the NEXO Desktop release channel

Use nexo-desktop.com for downloads, billing, support, and product information.

Client parity

Release changes that touch bootstrap, session handling, Deep Sleep, client sync, or shared runtime claims must also keep docs/client-parity-checklist.md current.

  • Managed via bootstrap + Codex config mcp_servers.nexo
  • Managed MCP-only shared-brain metadata
  • Runtime doctor parity audit
View source on GitHub