Skip to content
Back to skills

Build A Self Updating Agent Memory Graph With Gbrain

ASecurity

Use GBrain to give OpenClaw or Hermes-style agents a local knowledge brain with markdown ingestion, entity links, hybrid search, scheduled consolidation, and MCP access.

  • 36 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added June 8, 2026
ai-agentsgonodedockergitsecuritydocumentation

Works with

  • cli
  • mcp

Security analysis

A100/100

Scanned June 8, 2026

npx -y skills add agentskillexchange/skills --skill build-a-self-updating-agent-memory-graph-with-gbrain --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Build A Self Updating Agent Memory Graph With Gbrain?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Build A Self Updating Agent Memory Graph With Gbrain
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/agentskillexchange-build-a-self-updating-agent-memory-graph-with-gbra/badge)](https://www.skillsdirectory.com/skills/agentskillexchange-build-a-self-updating-agent-memory-graph-with-gbra)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: "Build a self-updating agent memory graph with GBrain"
slug: "build-a-self-updating-agent-memory-graph-with-gbrain"
description: "Use GBrain to give OpenClaw or Hermes-style agents a local knowledge brain with markdown ingestion, entity links, hybrid search, scheduled consolidation, and MCP access."
github_stars: 17347
verification: "security_reviewed"
source: "https://github.com/garrytan/gbrain"
author: "Garry Tan"
publisher_type: "individual"
category: "Templates & Workflows"
framework: "OpenClaw"
tool_ecosystem:
  github_repo: "garrytan/gbrain"
  github_stars: 17347
---

# Build a self-updating agent memory graph with GBrain

Use GBrain to give OpenClaw or Hermes-style agents a local knowledge brain with markdown ingestion, entity links, hybrid search, scheduled consolidation, and MCP access.

## Prerequisites

GBrain CLI, Bun/Node-compatible runtime, PGLite or Postgres with pgvector, markdown knowledge base, optional MCP server deployment

## Installation

Requirements and caveats from upstream:
- gbrain init --pglite # 2 seconds; no server, no Docker
- Run bun run test for the fast loop, bun run verify for the pre-push gate, bun run ci:local to run the full Docker-backed CI stack locally. Detailed test discipline in [CONTRIBUTING.md](CONTRIBUTING.md).

Basic usage or getting-started notes:
- Built by the President and CEO of Y Combinator to run his actual AI agents. The production brain behind his OpenClaw and Hermes deployments: **17,888 pages, 4,383 people, 723 companies**, 21 cron jobs running autonomo...
- **New in v0.35.7 — Temporal trajectory + founder scorecard.** Author typed metric assertions in the ## Facts fence (mrr=50000, arr=2000000, team_size=12) and gbrain stores them as first-class typed columns. gbrain eva...
- GBrain runs in three shapes. Pick the one that matches how you use AI agents today.

- Source: https://github.com/garrytan/gbrain
- Extracted from upstream docs: https://raw.githubusercontent.com/garrytan/gbrain/HEAD/README.md

## Documentation

- https://github.com/garrytan/gbrain/blob/master/llms.txt

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/build-a-self-updating-agent-memory-graph-with-gbrain/)

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.