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자가 업데이트 에이전트 메모리 그래프를 GBrain으로 구축하기

GBrain을 사용하여 OpenClaw 또는 Hermes 스타일 에이전트에 마크다운 수집, 엔티티 링크, 하이브리드 검색, 예약된 통합 및 MCP 접근 기능이 있는 로컬 지식 두뇌를 제공합니다.

자가 업데이트 에이전트 메모리 그래프를 GBrain으로 구축하기란 무엇인가요?

이 스킬은 GBrain을 활용하여 AI 에이전트(특히 OpenClaw 또는 Hermes 스타일)에 자가 업데이트되는 로컬 메모리 그래프를 추가하는 방법을 설명합니다. GBrain은 마크다운 문서 수집, 엔티티 간 링크 구축, 하이브리드(벡터 + 키워드) 검색, 정기적인 지식 통합(cron 작업), 그리고 MCP(Model Context Protocol) 접근을 지원합니다. 개발자는 GBrain CLI를 통해 PGLite(서버 불필요, Docker 없음) 또는 pgvector가 포함된 Postgres를 백엔드로 선택할 수 있으며, `gbrain init --pglite` 명령어 2초 만에 시작할 수 있습니다. 이 도구는 Y Combinator의 CEO가 실제 AI 에이전트 운영에 사용 중이며, v0.35.7부터는 시간적 궤적(temporal trajectory)과 창업자 점수판 기능이 추가되어 숫자 기반 메트릭을 일급 컬럼으로 저장하고 평가합니다. Agent Skill Exchange에서 제공되며, 공식 문서와 CONTRIBUTING.md를 통해 테스트 및 CI/CD 모범 사례를 확인할 수 있습니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-a-self-updating-agent-memory-graph-with-gbrain
원본 보기→모든 스킬 둘러보기

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

문서

자가 업데이트 에이전트 메모리 그래프를 GBrain으로 구축하기은(는) 무엇을 하나요?

GBrain을 사용하여 OpenClaw 또는 Hermes 스타일 에이전트에 마크다운 수집, 엔티티 링크, 하이브리드 검색, 예약된 통합 및 MCP 접근 기능이 있는 로컬 지식 두뇌를 제공합니다.

사전 요구 사항

GBrain CLI, Bun/Node 호환 런타임, PGLite 또는 pgvector가 있는 Postgres, 마크다운 지식 베이스, 선택적 MCP 서버 배포

설치

상위 저장소의 요구 사항 및 주의 사항:

  • gbrain init --pglite # 2초; 서버 불필요, Docker 불필요
  • 빠른 루프를 위해 bun run test 실행, 사전 푸시 게이트를 위해 bun run verify, 로컬에서 전체 Docker 기반 CI 스택을 실행하려면 bun run ci:local을 실행합니다. 자세한 테스트 규율은 CONTRIBUTING.md를 참조하세요.

기본 사용법 또는 시작하기 참고:

  • Y Combinator의 사장 겸 CEO가 실제 AI 에이전트를 운영하기 위해 구축했습니다. 그의 OpenClaw 및 Hermes 배포의 프로덕션 두뇌: 17,888개 페이지, 4,383명, 723개 회사, 21개의 cron 작업이 자율적으로 실행 중...

  • v0.35.7의 새로운 기능 — 시간적 궤적 + 창업자 점수판. 작성자는 ## Facts fence 내에서 숫자 기반 메트릭 어설션을 입력합니다 (예: mrr=50000, arr=2000000, team_size=12). GBrain은 이를 일급 타입 컬럼으로 저장합니다. GBrain은 추후 평가합니다...

  • GBrain은 세 가지 형태로 제공됩니다. 현재 AI 에이전트 사용 방식에 맞는 것을 선택하세요.

  • 출처: https://github.com/garrytan/gbrain

  • 상위 문서에서 추출: https://raw.githubusercontent.com/garrytan/gbrain/HEAD/README.md

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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