Skill

NEXO Brain

Cognitive memory system for AI agents — Atkinson-Shiffrin memory model, semantic RAG, trust scoring, and metacognitive error prevention. Gives your agent per...

Verified: 2026-05-15 (clawhub-ingest-2026-05-15+enrich-capability-skill)

When to use NEXO Brain

Choose if

You want your agent to have persistent, locally-stored memory across sessions with semantic search, an Atkinson-Shiffrin-style decay model, pre-edit guard checks against past mistakes, and session diaries. Pick this over a vector-DB-only RAG when you also need episodic logs, learning rules, and a metacognitive trust signal — and want everything on-disk with no cloud calls.

Avoid if

You need cloud-synced memory across multiple machines or users (NEXO is local-only per the README), or a Windows host (latest version lists Darwin and Linux only). Also avoid when your agent only needs simple vector retrieval — the cognitive-engine scope is broader than a plain RAG store and adds setup complexity.

Risk Flags

  • MEDIUM lock-in Memory is stored in two SQLite databases under ~/.nexo/; migrating to another memory system requires custom export logic. README mentions a backup/retention feature but no documented portable export format.
  • LOW scope README scopes the system to single-host local memory (Darwin/Linux). No cloud sync or multi-device replication is claimed.

Cost

Type: Free · Free tier: README states everything stays local — two SQLite databases in ~/.nexo/, no telemetry, no cloud APIs.

Distribution

ClawHub
nexo-brain
Repository
https://github.com/wazionapps/nexo