Xpersona

Crawler Summary

brainx answer-first brief

Motor de memoria vectorial con PostgreSQL + pgvector + OpenAI embeddings. Permite almacenar, buscar e inyectar memorias contextuales en prompts de LLMs. Incluye hook de auto-inyección para OpenClaw y sistema completo de backup/recuperación. --- name: brainx description: | Motor de memoria vectorial con PostgreSQL + pgvector + OpenAI embeddings. Permite almacenar, buscar e inyectar memorias contextuales en prompts de LLMs. Incluye hook de auto-inyección para OpenClaw y sistema completo de backup/recuperación. metadata: openclaw: emoji: "🧠" requires: bins: ["psql"] env: ["DATABASE_URL", "OPENAI_API_KEY"] primaryEnv: "DATABASE_URL" hooks: - name: brainx-a Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/23/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

brainx is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 100/100

brainx

Motor de memoria vectorial con PostgreSQL + pgvector + OpenAI embeddings. Permite almacenar, buscar e inyectar memorias contextuales en prompts de LLMs. Incluye hook de auto-inyección para OpenClaw y sistema completo de backup/recuperación. --- name: brainx description: | Motor de memoria vectorial con PostgreSQL + pgvector + OpenAI embeddings. Permite almacenar, buscar e inyectar memorias contextuales en prompts de LLMs. Incluye hook de auto-inyección para OpenClaw y sistema completo de backup/recuperación. metadata: openclaw: emoji: "🧠" requires: bins: ["psql"] env: ["DATABASE_URL", "OPENAI_API_KEY"] primaryEnv: "DATABASE_URL" hooks: - name: brainx-a

OpenClawself-declared

Public facts

6

Change events

1

Artifacts

0

Freshness

Feb 23, 2026

Verifiededitorial-contentNo verified compatibility signals

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 23, 2026

Vendor

Mdx2025

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/Mdx2025/brainx-v3.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Mdx2025

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

json

{
  "hooks": {
    "internal": {
      "enabled": true,
      "entries": {
        "brainx-auto-inject": {
          "enabled": true,
          "limit": 5,
          "tier": "hot+warm",
          "minImportance": 5
        }
      }
    }
  }
}

markdown

## Every Session

1. Read `SOUL.md`
2. Read `USER.md`
3. Read `brainx.md`
4. Read `BRAINX_CONTEXT.md` ← Contexto auto-inyectado

text

brainx add --type decision --content "Usar embeddings 3-small para reducir costos" --tier hot --importance 9 --tags config,openai

text

brainx search --query "configuracion de API" --limit 5 --minSimilarity 0.5

text

brainx inject --query "que decisiones se tomaron sobre openai" --limit 3

text

[sim:0.82 imp:9 tier:hot type:decision agent:coder ctx:openclaw]
Usar embeddings 3-small para reducir costos...

---

[sim:0.71 imp:8 tier:hot type:decision agent:support ctx:brainx]
Crear SKILL.md para integración con OpenClaw...

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Motor de memoria vectorial con PostgreSQL + pgvector + OpenAI embeddings. Permite almacenar, buscar e inyectar memorias contextuales en prompts de LLMs. Incluye hook de auto-inyección para OpenClaw y sistema completo de backup/recuperación. --- name: brainx description: | Motor de memoria vectorial con PostgreSQL + pgvector + OpenAI embeddings. Permite almacenar, buscar e inyectar memorias contextuales en prompts de LLMs. Incluye hook de auto-inyección para OpenClaw y sistema completo de backup/recuperación. metadata: openclaw: emoji: "🧠" requires: bins: ["psql"] env: ["DATABASE_URL", "OPENAI_API_KEY"] primaryEnv: "DATABASE_URL" hooks: - name: brainx-a

Full README

name: brainx description: | Motor de memoria vectorial con PostgreSQL + pgvector + OpenAI embeddings. Permite almacenar, buscar e inyectar memorias contextuales en prompts de LLMs. Incluye hook de auto-inyección para OpenClaw y sistema completo de backup/recuperación. metadata: openclaw: emoji: "🧠" requires: bins: ["psql"] env: ["DATABASE_URL", "OPENAI_API_KEY"] primaryEnv: "DATABASE_URL" hooks: - name: brainx-auto-inject event: agent:bootstrap description: Auto-inyecta memorias relevantes al iniciar sesión user-invocable: true

BrainX V3 - Memoria Vectorial para OpenClaw

Sistema de memoria persistida que usa embeddings vectoriales para recuperación contextual en agentes AI.

Cuándo Usar

✅ USAR cuando:

  • Un agente necesita "recordar" información de sesiones previas
  • Querés dar contexto adicional a un LLM sobre acciones pasadas
  • Necesitás búsqueda semántica por contenido
  • Querés guardar decisiones importantes con metadatos

❌ NO USAR cuando:

  • Información efímera que no necesita persistencia
  • Datos estructurados tabulares (usá una DB normal)
  • Cache simple (usá Redis o memoria en memoria)

Auto-Inyección (Hook)

BrainX V3 incluye un hook de OpenClaw que automáticamente inyecta memorias relevantes cuando un agente inicia:

Cómo funciona:

  1. Evento agent:bootstrap → Hook se ejecuta automáticamente
  2. Consulta PostgreSQL → Obtiene memorias hot/warm recientes
  3. Genera archivo → Crea BRAINX_CONTEXT.md en el workspace
  4. Agente lee → El archivo se carga como contexto inicial

Configuración:

En ~/.openclaw/openclaw.json:

{
  "hooks": {
    "internal": {
      "enabled": true,
      "entries": {
        "brainx-auto-inject": {
          "enabled": true,
          "limit": 5,
          "tier": "hot+warm",
          "minImportance": 5
        }
      }
    }
  }
}

Para cada agente:

Agregar a AGENTS.md en cada workspace:

## Every Session

1. Read `SOUL.md`
2. Read `USER.md`
3. Read `brainx.md`
4. Read `BRAINX_CONTEXT.md` ← Contexto auto-inyectado

Herramientas Disponibles

brainx_add_memory

Guarda una memoria en el brain vectorial.

Parámetros:

  • content (requerido) - Texto de la memoria
  • type (opcional) - Tipo: note, decision, action, learning (default: note)
  • context (opcional) - Namespace/scope
  • tier (opcional) - Prioridad: hot, warm, cold, archive (default: warm)
  • importance (opcional) - Importancia 1-10 (default: 5)
  • tags (opcional) - Tags separados por coma
  • agent (opcional) - Nombre del agente que crea la memoria

Ejemplo:

brainx add --type decision --content "Usar embeddings 3-small para reducir costos" --tier hot --importance 9 --tags config,openai

brainx_search

Busca memorias por similitud semántica.

Parámetros:

  • query (requerido) - Texto a buscar
  • limit (opcional) - Número de resultados (default: 10)
  • minSimilarity (opcional) - Umbral 0-1 (default: 0.3)
  • minImportance (opcional) - Filtro por importancia 0-10
  • tier (opcional) - Filtro por tier
  • context (opcional) - Filtro exacto por contexto

Ejemplo:

brainx search --query "configuracion de API" --limit 5 --minSimilarity 0.5

Retorna: JSON con resultados.

brainx_inject

Obtiene memorias formateadas para inyectar directamente en prompts LLM.

Parámetros:

  • query (requerido) - Texto a buscar
  • limit (opcional) - Número de resultados (default: 10)
  • minImportance (opcional) - Filtro por importancia
  • tier (opcional) - Filtro por tier (default: hot+warm)
  • context (opcional) - Filtro por contexto
  • maxCharsPerItem (opcional) - Truncar contenido (default: 2000)

Ejemplo:

brainx inject --query "que decisiones se tomaron sobre openai" --limit 3

Retorna: Texto formateado listo para inyectar:

[sim:0.82 imp:9 tier:hot type:decision agent:coder ctx:openclaw]
Usar embeddings 3-small para reducir costos...

---

[sim:0.71 imp:8 tier:hot type:decision agent:support ctx:brainx]
Crear SKILL.md para integración con OpenClaw...

brainx_health

Verifica que BrainX está operativo.

Parámetros: ninguno

Ejemplo:

brainx health

Retorna: Estado de conexión a PostgreSQL + pgvector.

Backup y Recuperación

Crear Backup

./scripts/backup-brainx.sh ~/backups

Crea archivo brainx-v3_backup_YYYYMMDD_HHMMSS.tar.gz con:

  • Base de datos PostgreSQL completa (SQL dump)
  • Configuración de OpenClaw (hooks, .env)
  • Archivos de skill
  • Documentación de workspaces

Restaurar Backup

./scripts/restore-brainx.sh backup.tar.gz --force

Restaura completamente BrainX V3 incluyendo:

  • Todas las memorias (126+ registros con embeddings)
  • Configuración de hooks
  • Variables de entorno

Documentación Completa

Ver RESILIENCE.md para:

  • Escenarios de desastre completos
  • Migración a nuevo VPS
  • Troubleshooting
  • Configuración de backups automáticos

Configuración

Variables de Entorno

# Obligatorias
DATABASE_URL=postgresql://user:pass@host:5432/brainx_v3
OPENAI_API_KEY=sk-...

# Opcionales
OPENAI_EMBEDDING_MODEL=text-embedding-3-small
OPENAI_EMBEDDING_DIMENSIONS=1536
BRAINX_INJECT_DEFAULT_TIER=hot+warm
BRAINX_INJECT_MAX_CHARS_PER_ITEM=2000
BRAINX_INJECT_MAX_LINES_PER_ITEM=80

Setup de Base de Datos

# El schema está en ~/.openclaw/skills/brainx-v3/sql/
# Requiere PostgreSQL con extensión pgvector

psql $DATABASE_URL -f ~/.openclaw/skills/brainx-v3/sql/v3-schema.sql

Integración Directa

También podés usar el wrapper unificado que lee la API key de OpenClaw:

cd ~/.openclaw/skills/brainx-v3
./brainx add --type note --content "test"
./brainx search --query "test"
./brainx inject --query "test"
./brainx health

Notas

  • Las memorias se almacenan con embeddings vectoriales (1536 dimensiones)
  • La búsqueda usa similitud coseno
  • inject es la herramienta más útil para dar contexto a LLMs
  • Tier hot = acceso rápido, cold/archive = archive a largo plazo
  • Las memorias son persistentes en PostgreSQL (independientes de OpenClaw)
  • El hook de auto-inyección funciona en cada agent:bootstrap

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/contract"
curl -s "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/Mdx2025/brainx-v3#input",
  "outputSchemaRef": "https://github.com/Mdx2025/brainx-v3#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:44:10.913Z",
  "sourceUpdatedAt": "2026-02-24T19:44:10.913Z",
  "freshnessSeconds": 4425389
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:00:40.796Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "ctx",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:ctx|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:44:10.913Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:10.913Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/Mdx2025/brainx-v3#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:10.913Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Mdx2025",
    "href": "https://github.com/Mdx2025/brainx-v3",
    "sourceUrl": "https://github.com/Mdx2025/brainx-v3",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mdx2025-brainx-v3/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to brainx and adjacent AI workflows.