mercury-agent Agent工作流 是 AI Skill Hub 本期精选AI工具之一。已获得 2.2k 颗 GitHub Star,综合评分 8.2 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
mercury-agent Agent工作流 是一款基于 TypeScript 开发的开源工具,专注于 AI工作流、权限控制、Token预算 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
mercury-agent Agent工作流 是一款基于 TypeScript 开发的开源工具,专注于 AI工作流、权限控制、Token预算 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:npm 全局安装 npm install -g mercury-agent # 方式二:npx 直接运行(无需安装) npx mercury-agent --help # 方式三:项目依赖安装 npm install mercury-agent # 方式四:从源码运行 git clone https://github.com/cosmicstack-labs/mercury-agent cd mercury-agent npm install npm start
# 命令行使用
mercury-agent --help
# 基本用法
mercury-agent [options] <input>
# Node.js 代码中使用
const mercury_agent = require('mercury-agent');
const result = await mercury_agent.run(options);
console.log(result);
# mercury-agent 配置说明 # 查看配置选项 mercury-agent --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export MERCURY_AGENT_CONFIG="/path/to/config.yml"
<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="docs/img/card-dark.png"> <source media="(prefers-color-scheme: light)" srcset="docs/img/card-light.png"> <img alt="Mercury — Soul-Driven AI Agent" src="docs/img/card-light.png" width="600"> </picture> </p>
<p align="center"> <strong>Soul-driven AI agent with permission-hardened tools, token budgets, and multi-channel access.</strong> </p>
<p align="center"> Remembers what matters. Asks before it acts. Runs 24/7 from CLI, Telegram, or Web. 31 built-in tools, Kanban boards, extensible skills, SQLite-backed Second Brain memory. </p>
<p align="center"> <a href="https://www.npmjs.com/package/@cosmicstack/mercury-agent"><img src="https://img.shields.io/npm/v/@cosmicstack/mercury-agent" alt="npm"></a> <a href="https://github.com/cosmicstack-labs/mercury-agent"><img src="https://img.shields.io/github/license/cosmicstack-labs/mercury-agent" alt="license"></a> <a href="https://nodejs.org/"><img src="https://img.shields.io/node/v/@cosmicstack/mercury-agent" alt="node"></a> </p>
<p align="center"> <strong>🔖 Current Stable: v1.1.13</strong> </p>
<p align="center"> English | <a href="README.zh-CN.md">简体中文</a> </p>
---
curl -fsSL https://bun.sh/install | bash)Mercury can be compiled into a single self-contained binary using bun build --compile. The resulting file embeds the Bun runtime and the full Mercury bundle.
npm run build:bin # host platform only
npm run build:bin:all # all 5 targets (macOS arm64/x64, Linux x64/arm64, Windows x64)
npm run build:bin:force # rebuild (overwrite existing binary for the same version)
npm run build:bin:all:force # rebuild all targets
Output is versioned so older builds are never overwritten:
release/
├── latest → symlink to most-recent version
├── v1.1.9/
│ ├── mercury-macos-arm64
│ ├── mercury-macos-x64
│ ├── mercury-linux-x64
│ ├── mercury-linux-arm64
│ ├── mercury-win-x64.exe
│ └── checksums.txt (SHA-256 for every binary)
└── v1.2.0/ …
The version is read from package.json — bump it before building to produce a fresh folder. Re-running for the same version skips already-built targets unless --force is passed.
Cross-compilation: Bun produces binaries for every target from a single host. Native modules (better-sqlite3) can't cross-compile, but Mercury gracefully falls back to sql.js (pure JS + wasm) so the cross-compiled binaries still work end-to-end.
macOS Gatekeeper: unsigned binaries trigger a warning on first launch. For distribution, sign with codesign --sign "Developer ID" release/v<version>/mercury-macos-arm64 and notarize.
Mercury can pull community-contributed skills from the registry at skills.mercuryagent.sh (126+ skills, no auth required).
mercury skills search prompt # search the registry
mercury skills browse ai-ml # browse by category
mercury skills view ai-ml/prompt-engineering # render SKILL.md in the terminal
mercury skills view ai-ml/prompt-engineering --web # open the registry page
mercury skills install ai-ml/prompt-engineering # install to ~/.mercury/skills/
mercury skills list # show installed skills
mercury skills update # refresh all installed skills
mercury skills remove ai-ml/prompt-engineering
mercury skills doctor # check install root + registry
Installed skills land at ~/.mercury/skills/<category>/<slug>/SKILL.md and are picked up by the agent on the next boot — they're treated identically to built-in skills.
Review before you ship. Skills are community-contributed and unaudited. Run mercury skills view <id> before installing.
Overrides: --registry <url> (or MERCURY_SKILLS_REGISTRY) for self-hosted registries, MERCURY_SKILLS_INSTALL_ROOT for an alternate install path, --json for machine-readable output.
Also installable from:
http://127.0.0.1:6174/skills has a registry installer (paste category/slug) and a URL installer side by side./skills, /skills search <q>, /skills view <id>, /skills install <id> (admin-only). Every result includes the registry URL so you can review before installing.See the Skills reference for the full command surface, frontmatter spec, and API endpoints.
You can build Mercury yourself from source — either the standard Node bundle (for npm link / local development) or a standalone executable that bundles the entire runtime, so end-users don't need Node.js installed at all.
git clone https://github.com/cosmicstack-labs/mercury-agent.git
cd mercury-agent
npm install
npm run build # builds dist/ via tsup + post-build (UI, static assets)
npm start # node dist/index.js
npm installnpm run build to verify it compilesmercury locallyOne-liner install (no Node.js required) — downloads the latest standalone binary for your OS:
```bash
All runtime data lives in ~/.mercury/ — not in your project directory.
| Path | Purpose |
|---|---|
~/.mercury/mercury.yaml | Main config (providers, channels, budget) |
~/.mercury/.env | API keys and tokens (loaded alongside project .env) |
~/.mercury/soul/*.md | Agent personality (soul, persona, taste, heartbeat) |
~/.mercury/permissions.yaml | Capabilities and approval rules |
~/.mercury/skills/ | Installed skills |
~/.mercury/schedules.yaml | Scheduled tasks |
~/.mercury/token-usage.json | Daily token usage tracking |
~/.mercury/memory/short-term/ | Per-conversation JSON files |
~/.mercury/memory/long-term/ | Auto-extracted facts (JSONL) |
~/.mercury/memory/episodic/ | Timestamped event log (JSONL) |
~/.mercury/memory/second-brain/ | Structured memory database (SQLite + FTS5) |
~/.mercury/daemon.pid | Background process PID |
~/.mercury/daemon.log | Daemon mode logs |
~/.mercury/boards.db | Kanban boards database (SQLite) |
| Command | Description |
|---|---|
mercury up | **Recommended.** Install service + start daemon + ensure running |
mercury | Start the agent (same as mercury start) |
mercury start | Start in foreground |
mercury start -d | Start in background (daemon mode) |
mercury restart | Restart the background process |
mercury stop | Stop a background process |
mercury logs | View recent daemon logs |
mercury doctor | Reconfigure setup (name, providers, channels, permissions defaults) |
mercury doctor --platform | Show cross-platform terminal/daemon compatibility diagnostics |
mercury setup | Re-run the setup wizard |
mercury status | Show config and daemon status |
mercury help | Show full manual |
mercury upgrade | Upgrade to latest version |
mercury telegram list | List approved and pending Telegram users |
mercury telegram approve <code\|id> | Approve a pairing code or pending request |
mercury telegram reject <id> | Reject a pending Telegram access request |
mercury telegram remove <id> | Remove an approved Telegram user |
mercury telegram promote <id> | Promote a Telegram member to admin |
mercury telegram demote <id> | Demote a Telegram admin to member |
mercury telegram reset | Clear all Telegram access and start fresh |
mercury service install | Install as system service (auto-start on boot) |
mercury service uninstall | Uninstall system service |
mercury service status | Show system service status |
mercury --verbose | Start with debug logging |
成熟的开源Agent框架,权限与预算控制设计先进,TypeScript生态友好,维护活跃且社区反馈积极,是企业级AI应用的优选方案。
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。
经综合评估,mercury-agent Agent工作流 在AI工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | mercury-agent |
| 原始描述 | 开源AI工作流:Soul-driven AI agent with permission-hardened tools, token budgets, and multi-ch。⭐2.2k · TypeScript |
| Topics | AI工作流权限控制Token预算多渠道TypeScript |
| GitHub | https://github.com/cosmicstack-labs/mercury-agent |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-05-16 · 更新时间:2026-05-19 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。