经 AI Skill Hub 精选评估,GigaBrain本地记忆层 获评「强烈推荐」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
为OpenClaw、Codex App和Codex CLI提供本地优先的记忆存储层,支持信息捕获与智能回忆。帮助AI代理保持上下文连贯性,适合需要长期记忆的AI应用开发者。
GigaBrain本地记忆层 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
为OpenClaw、Codex App和Codex CLI提供本地优先的记忆存储层,支持信息捕获与智能回忆。帮助AI代理保持上下文连贯性,适合需要长期记忆的AI应用开发者。
GigaBrain本地记忆层 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/legendaryvibecoder/gigabrain
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"gigabrain-----": {
"command": "npx",
"args": ["-y", "gigabrain"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 GigaBrain本地记忆层 执行以下任务... Claude: [自动调用 GigaBrain本地记忆层 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"gigabrain_____": {
"command": "npx",
"args": ["-y", "gigabrain"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <strong>Local-first memory control plane for agents.</strong> </p>
<p align="center"> <a href="https://github.com/legendaryvibecoder/gigabrain/releases"><img src="https://img.shields.io/github/v/release/legendaryvibecoder/gigabrain?include_prereleases&style=for-the-badge" alt="GitHub release"></a> <a href="https://www.npmjs.com/package/@legendaryvibecoder/gigabrain"><img src="https://img.shields.io/npm/v/@legendaryvibecoder/gigabrain?style=for-the-badge" alt="npm version"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-blue.svg?style=for-the-badge" alt="MIT License"></a> <a href="https://github.com/legendaryvibecoder/gigabrain/stargazers"><img src="https://img.shields.io/github/stars/legendaryvibecoder/gigabrain?style=for-the-badge" alt="GitHub Stars"></a> <img src="https://img.shields.io/badge/node-%3E%3D22-brightgreen?style=for-the-badge" alt="Node >=22"> </p>
<p align="center"> <a href="docs/configuration.md">Configuration</a> · <a href="CHANGELOG.md">Changelog</a> · <a href="CONTRIBUTING.md">Contributing</a> · <a href="SECURITY.md">Security</a> · <a href="https://github.com/legendaryvibecoder/gigabrain/discussions">Discussions</a> </p>
---
Gigabrain is the local-first Memory Passport and control plane for AI agents. It gives you one inspectable place to inventory, audit, deduplicate, and safely hand off memory across OpenClaw, Codex App/CLI, Claude Code/Desktop, Hermes-style MCP/HTTP bridges, Cursor/Windsurf, and explicit manual imports from cloud products.
The product face is Memory Passport + Auditor + Handoff Layer. The cross-memory bus is the architecture underneath: SQLite-backed recall, deterministic dedupe/audit flows, host-memory adapters, native markdown sync, world model, Obsidian surface, and an optional web console for memory operations.
Gigabrain does not replace native memories. It connects, checks, deduplicates, exports, and audits them where the host exposes local files or the user provides an explicit export. Closed cloud memories such as ChatGPT, Claude.ai, Gemini, and Microsoft Copilot are manual import/export flows only.
gigabrain_recall, gigabrain_remember, gigabrain_checkpoint, gigabrain_provenance, gigabrain_recent, gigabrain_sources, gigabrain_sync_status, gigabrain_export_brief, gigabrain_doctor, gigabrain_entity, gigabrain_contradictions, gigabrain_relationshipsMEMORY.md and daily notes alongside the registry for unified recallnode:sqlite experimental API)| Method | Path | Auth | Description |
|---|---|---|---|
GET | /gb/health | No | Health check |
POST | /gb/recall | Token | Memory recall for a query |
POST | /gb/suggestions | Token | Structured suggestion ingest |
POST | /gb/bench/recall | Token | Recall benchmark endpoint |
GET | /gb/memory/:id/timeline | Token | Event timeline for a memory |
GET | /gb/evolution | Token | Entity evolution timeline by claim slot |
GET | /gb/relationships | Token | Relationship graph with counterpart metadata |
Auth uses the X-GB-Token header. Fail-closed: no token configured = all requests rejected.
高质量MCP实现,提供essential的记忆层能力,本地架构保障隐私。活跃维护,生态适配良���,值得推荐。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:GigaBrain本地记忆层 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | gigabrain |
| 原始描述 | 开源MCP工具:Local-first memory layer for OpenClaw, Codex App, and Codex CLI: capture, recall。⭐207 · JavaScript |
| Topics | 本地记忆MCP工具AI代理上下文管理开源 |
| GitHub | https://github.com/legendaryvibecoder/gigabrain |
| License | MIT |
| 语言 | JavaScript |
收录时间:2026-05-20 · 更新时间:2026-05-30 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端