QuickAgents - AI Agent Enhancement Toolkit with Document Understanding, Self-Evolution and Unified UTF-8 Encoding

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QuickAgents

AI Agent Enhancement Toolkit with Self-Evolution | AI代理增强工具包，支持自我进化

中文文档 | English

QuickAgents (中文)

📖 项目简介

QuickAgents是一个强大的AI代理增强工具包，通过本地处理最大化效率，最小化Token消耗。支持自我进化、记忆管理、知识图谱、TDD工作流等核心功能。

🎯 核心目标

最大化本地处理：减少API调用，节省Token消耗60-100%
自我进化系统：自动收集经验，持续优化Skills
统一数据管理：SQLite主存储 + Markdown辅助备份
跨会话记忆：三维记忆系统，支持项目上下文保持

✨ 核心功能

1. 统一数据库系统 (UnifiedDB V2)

V2 架构：分层设计，模块化，可测试

┌─────────────────────────────────────────────────────────────┐
│                    UnifiedDB V2 Architecture                 │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│   ┌─────────────────────────────────────────────────────┐   │
│   │              UnifiedDB (Facade)                      │   │
│   │  - set_memory() / get_memory() / search_memory()    │   │
│   │  - add_task() / update_task_status()                │   │
│   │  - init_progress() / update_progress()              │   │
│   │  - add_feedback() / get_feedbacks()                 │   │
│   └─────────────────────────────────────────────────────┘   │
│                          │                                  │
│   ┌──────────────────────┴──────────────────────────┐       │
│   │              Session Layer (v2.8.3)              │       │
│   │  query() / transaction() / read_only() / execute()│      │
│   └─────────────────────────────────────────────────┘       │
│                          │                                  │
│   ┌──────────────────────┴──────────────────────────┐       │
│   │              Repository Layer                    │       │
│   ├─────────────────────────────────────────────────┤       │
│   │  MemoryRepo │ TaskRepo │ ProgressRepo │ FeedbackRepo │  │
│   │              QueryBuilder (Django-style)         │       │
│   └─────────────────────────────────────────────────┘       │
│                          │                                  │
│   ┌──────────────────────┴──────────────────────────┐       │
│   │              Core Components                     │       │
│   ├─────────────────────────────────────────────────┤       │
│   │  ConnectionManager │ TransactionManager │ MigrationManager │
│   │  (动态连接池/pre_ping/PRAGMA增强/指标)   │              │
│   └─────────────────────────────────────────────────┘       │
│                                                             │
│   ┌──────────────────────────────────────────────────────┐   │
│   │              Knowledge Graph + Document Pipeline      │   │
│   ├──────────────────────────────────────────────────────┤   │
│   │  KnowledgeGraph │ FTS5 Search │ DocumentPipeline │    │   │
│   │  (WAL模式/批量查询/线程本地持久连接)                    │   │
│   └──────────────────────────────────────────────────────┘   │
│                                                             │
└─────────────────────────────────────────────────────────────┘

V2 特性：

ConnectionManager: 动态连接池、pre_ping验证、PRAGMA增强(mmap/temp_store)、WAL自动Checkpoint、连接池指标
TransactionManager: 指数退避重试、线程独立事务、嵌套SAVEPOINT、只读/读写分离
MigrationManager: 外部迁移文件、迁移结果追踪、增强日志(耗时统计)
Repository层: QueryBuilder(Django风格链式API)、批量写入优化(5-10x)
Session: 统一数据库会话接口，隐藏CM/TM实现细节
KnowledgeGraph: WAL模式持久连接、批量查询消除N+1、FTS5前缀搜索
MarkdownSync: 并行同步(ThreadPoolExecutor)、批量查询优化

from quickagents import UnifiedDB, MemoryType, TaskStatus

db = UnifiedDB('.quickagents/unified.db')

# 设置记忆
db.set_memory('project.name', 'MyProject', MemoryType.FACTUAL)
db.set_memory('current.task', '实现认证', MemoryType.WORKING)

# 获取记忆
name = db.get_memory('project.name')

# 任务管理
db.add_task('T001', '实现认证', 'P0')
db.update_task_status('T001', TaskStatus.COMPLETED)

2. 自我进化系统 (SkillEvolution)

from quickagents import get_evolution

evolution = get_evolution()

# 任务完成时自动触发
evolution.on_task_complete({
    'task_id': 'T001',
    'task_name': '实现认证',
    'skills_used': ['tdd-workflow-skill'],
    'success': True
})

# Git提交时自动触发
evolution.on_git_commit()

# 检查定期优化
if evolution.check_periodic_trigger():
    evolution.run_periodic_optimization()

3. 知识图谱系统 (KnowledgeGraph)

from quickagents import KnowledgeGraph, NodeType, EdgeType

kg = KnowledgeGraph()

# 创建节点
node = kg.create_node(
    node_type=NodeType.REQUIREMENT,
    title='用户认证需求',
    content='实现JWT认证'
)

# 创建边
kg.create_edge(
    source_id=node.id,
    target_id='T001',
    edge_type=EdgeType.TRACES_TO
)

# 搜索
results = kg.search('认证')

# 需求追踪
trace = kg.trace_requirement(node.id)

4. 浏览器自动化 (Browser)

from quickagents import Browser

browser = Browser()
page = browser.new_page()

# 获取控制台日志
logs = page.get_console_logs()

# 获取网络请求
requests = page.get_network_requests()

# 执行JavaScript
result = page.evaluate('document.title')

browser.close()

🚀 安装

方式一：一行命令安装（推荐）

macOS/Linux:

curl -fsSL https://raw.githubusercontent.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM/main/scripts/install.sh | bash

Windows PowerShell:

iwr -useb https://raw.githubusercontent.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM/main/scripts/install.ps1 | iex

方式二：两步安装

# Step 1: Install Python package
pip install quickagents

# Step 2: Initialize project
qka init

方式三：让AI代理自动安装（最省心）

直接复制这句话发送给你的AI代理（如OpenCode、Claude、ChatGPT等）：

请按照 https://raw.githubusercontent.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM/main/Docs/guide/installation.md 中的指引安装QuickAgents

AI代理会自动：

读取安装指南
检测你的环境（Python版本等）
执行 pip install quickagents
执行 qka init 初始化项目
验证安装结果

这是最推荐的安装方式，无需手动操作任何命令。

可选参数

qka init --with-ui-ux      # 包含ui-ux-pro-max技能（~410KB，用于Web/Mobile项目）
qka init --with-browser    # 包含browser-devtools技能
qka init --minimal         # 最小安装（仅核心文件）
qka init --force           # 覆盖现有文件
qka init --dry-run         # 预览将安装的文件

完整安装（包含所有可选依赖）

pip install quickagents[full]

开发模式

git clone https://github.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM.git
cd Quick-Agents-for-Z.AI-GLM
pip install -e .

📋 CLI命令

数据库操作

qka stats                      # 统计信息
qka sync                       # 同步SQLite到Markdown
qka sync memory                # 仅同步记忆
qka memory get <key>           # 获取记忆值
qka memory set <key> <value>   # 设置记忆值
qka memory search <query>      # 搜索记忆

任务管理

qka tasks list                 # 列出所有任务
qka tasks add <id> <name> --priority P0  # 添加任务
qka tasks status <id> <status> # 更新任务状态
qka progress                   # 查看当前进度

进化系统

qka evolution status           # 查看进化状态
qka evolution stats [skill]    # Skills使用统计
qka evolution optimize         # 执行定期优化
qka evolution history <skill>  # 查看Skill进化历史
qka evolution sync             # 同步进化数据

Git集成

qka hooks install              # 安装Git钩子
qka hooks status               # 查看钩子状态
qka git status                 # Git状态
qka git check                  # 提交前检查
qka git commit <type> <scope> <subject>  # 格式化提交

TDD工作流

qka tdd red <test_file>        # RED阶段（测试应失败）
qka tdd green <test_file>      # GREEN阶段（测试应通过）
qka tdd refactor <test_file>   # REFACTOR阶段
qka tdd coverage               # 查看覆盖率
qka tdd stats                  # TDD统计

反馈收集

qka feedback bug <desc>        # 记录Bug
qka feedback improve <desc>    # 记录改进建议
qka feedback best <desc>       # 记录最佳实践
qka feedback view [--type <t>] # 查看收集的反馈
qka feedback stats             # 反馈统计

模型配置（ZhipuAI GLM Coding Plan）

qka models show                # 查看当前配置
qka models list                # 列出可用模型
qka models check-updates       # 检查GLM更新
qka models upgrade --dry-run   # 预览升级
qka models upgrade --force     # 执行升级
qka models strategy coding-plan # 切换到Coding Plan
qka models lock GLM-5          # 锁定单一模型
qka models unlock              # 解除锁定

其他命令

qka cache stats                # 缓存统计
qka cache clear                # 清空缓存
qka loop check                 # 检查循环模式
qka loop stats                 # 循环检测统计
qka reminder check             # 检查提醒
qka reminder stats             # 提醒统计

版本管理

qka version                    # 查看版本信息
qka version --check            # 检查所有模块完整性
qka update                     # 从PyPI升级到最新版
qka update --target 2.7.6      # 升级到指定版本
qka update --source github     # 从GitHub源码安装
qka update --dry-run           # 仅预览升级

卸载

qka uninstall                  # 交互式卸载
qka uninstall --dry-run        # 预览卸载内容
qka uninstall --keep-data      # 卸载但保留项目数据
qka uninstall --keep-config    # 卸载但保留全局配置
qka uninstall --force          # 跳过确认直接卸载

老版本（v2.7.5及更早）没有 qka uninstall 命令，请参考卸载指导文档

⌨️ Slash命令（OpenCode内）

工作流命令

命令	说明
`/ultrawork` 或 `/ulw`	"Just do it"模式 — 自动检测任务复杂度，最小化交互
`/start-work [plan]`	从计划文件恢复/启动工作，支持 `--status`、`--checkpoint`
`/run-workflow <name>`	执行多Agent协调工作流（parallel-review等）
`/enable-coordination`	启用多Agent协调模式
`/disable-coordination`	禁用多Agent协调模式

Skill管理

命令	说明
`/add-skill <source>`	添加Skill（GitHub/本地/NPM）
`/list-skills`	列出已安装的Skills
`/update-skill <name>` 或 `--all`	更新Skill
`/remove-skill <name>`	移除Skill
`/skill-info <name>`	查看Skill详情
`/skill-stats <name>`	查看Skill使用统计
`/search-skills <query>`	搜索可用Skills

开发辅助

命令	说明
`/tdd-red <file>`	TDD RED阶段
`/tdd-green <file>`	TDD GREEN阶段
`/tdd-refactor <file>`	TDD REFACTOR阶段
`/test-coverage`	查看测试覆盖率
`/debug <error>`	触发系统化调试流程

版本管理

命令	说明
`/qa-update`	检测并更新QuickAgents
`/qa-update --check`	仅检测，不更新
`/qa-update --version`	显示当前版本
`/qa-update --rollback`	回滚到上一版本
`/qa-check-alignment`	检查组件版本对齐
`/qa-auto-align`	自动修复版本对齐

反馈

命令	说明
`/feedback bug <desc>`	记录Bug
`/feedback improve <desc>`	记录改进建议
`/feedback best <desc>`	记录最佳实践
`/feedback skill <名> <评>`	评估Skill
`/feedback view [type]`	查看收集的反馈

其他

命令	说明
`/handoff`	生成跨会话交接文档
`/stop-continuation`	停止所有继续/执行机制

🏗️ 架构

.quickagents/
├── unified.db           # SQLite主存储
│   ├── memory           # 三维记忆
│   ├── progress         # 进度追踪
│   ├── feedback         # 经验收集
│   ├── tasks            # 任务管理
│   ├── decisions        # 决策日志
│   └── knowledge_*      # 知识图谱
│
Docs/                    # Markdown辅助备份
├── MEMORY.md           # 项目记忆
├── TASKS.md            # 任务管理
└── DECISIONS.md        # 决策日志

三维记忆系统

记忆类型	用途	示例
Factual	静态事实信息	项目名称、技术栈、架构决策
Experiential	动态经验信息	踩坑记录、最佳实践、用户反馈
Working	当前工作状态	当前任务、进度、阻塞点

📦 模块说明

模块	功能	Token节省
UnifiedDB	统一数据库管理	60%+
Session	统一数据库会话接口	0
ConnectionManager	动态连接池/pre_ping/PRAGMA增强	0
TransactionManager	ACID事务/指数退避重试/线程安全	0
QueryBuilder	Django风格链式查询构建器	0
MarkdownSync	自动同步到Markdown	100%
FileManager	智能文件读写（哈希检测）	90%+
LoopDetector	模式循环检测(stuck/oscillation)	100%
Reminder	事件提醒	100%
SkillEvolution	Skills自我进化	0
KnowledgeGraph	知识图谱	80%+
Browser	浏览器自动化	50%+
Document	文档解析管道（PDF/Word/Excel/XMind等）	80%+
Encoding	统一UTF-8编码（跨平台）	0

🧪 测试

# 运行所有测试
pytest tests/

# 运行特定测试
pytest tests/knowledge_graph/

# 覆盖率报告
pytest --cov=quickagents tests/

📚 文档

🤝 贡献

欢迎贡献！请查看 CONTRIBUTING.md 了解详情。

📄 许可证

本项目采用 MIT 许可证 - 查看 LICENSE 文件了解详情。

QuickAgents (English)

📖 Overview

QuickAgents is a powerful AI agent enhancement toolkit that maximizes efficiency through local processing and minimizes token consumption by 60-100%. It features self-evolution, memory management, knowledge graphs, TDD workflows, and more.

🎯 Core Goals

Maximize Local Processing: Reduce API calls, save 60-100% tokens
Self-Evolution System: Automatically collect experiences, continuously optimize skills
Unified Data Management: SQLite primary storage + Markdown backup
Cross-Session Memory: Three-dimensional memory system for project context preservation

✨ Core Features

1. Unified Database System (UnifiedDB V2)

V2 Architecture: Layered design, modular, testable

from quickagents import UnifiedDB, MemoryType, TaskStatus

db = UnifiedDB('.quickagents/unified.db')

# Set memory
db.set_memory('project.name', 'MyProject', MemoryType.FACTUAL)
db.set_memory('current.task', 'Implement Auth', MemoryType.WORKING)

# Get memory
name = db.get_memory('project.name')

# Task management
db.add_task('T001', 'Implement Auth', 'P0')
db.update_task_status('T001', TaskStatus.COMPLETED)

2. Self-Evolution System (SkillEvolution)

from quickagents import get_evolution

evolution = get_evolution()

# Trigger on task completion
evolution.on_task_complete({
    'task_id': 'T001',
    'task_name': 'Implement Auth',
    'skills_used': ['tdd-workflow-skill'],
    'success': True
})

# Trigger on git commit
evolution.on_git_commit()

# Check periodic optimization
if evolution.check_periodic_trigger():
    evolution.run_periodic_optimization()

3. Knowledge Graph System (KnowledgeGraph)

from quickagents import KnowledgeGraph, NodeType, EdgeType

kg = KnowledgeGraph()

# Create node
node = kg.create_node(
    node_type=NodeType.REQUIREMENT,
    title='User Authentication',
    content='Implement JWT authentication'
)

# Create edge
kg.create_edge(
    source_id=node.id,
    target_id='T001',
    edge_type=EdgeType.TRACES_TO
)

# Search
results = kg.search('authentication')

# Trace requirement
trace = kg.trace_requirement(node.id)

4. Browser Automation (Browser)

from quickagents import Browser

browser = Browser()
page = browser.new_page()

# Get console logs
logs = page.get_console_logs()

# Get network requests
requests = page.get_network_requests()

# Execute JavaScript
result = page.evaluate('document.title')

browser.close()

🚀 Installation

Option 1: One-Line Install (Recommended)

macOS/Linux:

curl -fsSL https://raw.githubusercontent.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM/main/scripts/install.sh | bash

Windows PowerShell:

iwr -useb https://raw.githubusercontent.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM/main/scripts/install.ps1 | iex

Option 2: Two-Step Install

pip install quickagents
qka init

Option 3: AI-Assisted Install (Recommended)

Tell your AI assistant:

请按照 https://raw.githubusercontent.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM/main/Docs/guide/installation.md 中的指引安装QuickAgents

The AI agent will automatically:

Read the installation guide
Execute all installation steps
Verify the installation

This is the most recommended method - zero manual commands required.

Optional Flags

qka init --with-ui-ux      # Include ui-ux-pro-max skill (~410KB, for web/mobile projects)
qka init --with-browser    # Include browser-devtools skill
qka init --minimal         # Minimal installation (core files only)

Full Installation (with all optional features)

pip install quickagents[full]

Development Mode

git clone https://github.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM.git
cd Quick-Agents-for-Z.AI-GLM
pip install -e .

📋 CLI Commands

Database Operations

qka stats                      # Show statistics
qka sync                       # Sync SQLite to Markdown
qka memory get <key>           # Get memory value
qka memory set <key> <value>   # Set memory value
qka memory search <query>      # Search memory

Task Management

qka tasks list                 # List all tasks
qka tasks add <id> <name> --priority P0
qka tasks status <id> <status>
qka progress                   # Show current progress

Evolution System

qka evolution status           # Show evolution status
qka evolution stats [skill]    # Skill usage statistics
qka evolution optimize         # Run periodic optimization
qka evolution history <skill>  # View skill evolution history

Git Integration

qka hooks install              # Install Git hooks
qka hooks status               # Check hooks status
qka git status                 # Git status
qka git check                  # Pre-commit checks

TDD Workflow

qka tdd red <test_file>        # RED phase
qka tdd green <test_file>      # GREEN phase
qka tdd refactor <test_file>   # REFACTOR phase
qka tdd coverage               # Check coverage

Feedback Collection

qka feedback bug <desc>        # Record a bug
qka feedback improve <desc>    # Record improvement suggestion
qka feedback best <desc>       # Record best practice
qka feedback view [--type <t>] # View collected feedback

Model Configuration (ZhipuAI GLM Coding Plan)

qka models show                # View current config
qka models list                # List available models
qka models check-updates       # Check GLM updates
qka models upgrade --dry-run   # Preview upgrade
qka models upgrade --force     # Execute upgrade
qka models strategy coding-plan # Switch to Coding Plan
qka models lock GLM-5          # Lock single model
qka models unlock              # Unlock

Version Management

qka version                    # Show version info
qka version --check            # Check all modules
qka update                     # Upgrade from PyPI (latest)
qka update --target 2.7.6      # Upgrade to specific version
qka update --source github     # Install from GitHub
qka update --dry-run           # Preview upgrade only

Uninstall

qka uninstall                  # Interactive uninstall
qka uninstall --dry-run        # Preview what will be removed
qka uninstall --keep-data      # Uninstall but keep project data
qka uninstall --keep-config    # Uninstall but keep global config
qka uninstall --force          # Skip confirmation

For older versions (v2.7.5 and earlier) without qka uninstall, see Uninstall Guide

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                    UnifiedDB V2 Architecture                 │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│   ┌─────────────────────────────────────────────────────┐   │
│   │              UnifiedDB (Facade)                      │   │
│   │  - set_memory() / get_memory() / search_memory()    │   │
│   │  - add_task() / update_task_status()                │   │
│   │  - init_progress() / update_progress()              │   │
│   │  - add_feedback() / get_feedbacks()                 │   │
│   └─────────────────────────────────────────────────────┘   │
│                          │                                  │
│   ┌──────────────────────┴──────────────────────────┐       │
│   │              Session Layer (v2.8.3)              │       │
│   │  query() / transaction() / read_only() / execute()│      │
│   └─────────────────────────────────────────────────┘       │
│                          │                                  │
│   ┌──────────────────────┴──────────────────────────┐       │
│   │              Repository Layer                    │       │
│   ├─────────────────────────────────────────────────┤       │
│   │  MemoryRepo │ TaskRepo │ ProgressRepo │ FeedbackRepo │  │
│   │              QueryBuilder (Django-style)         │       │
│   └─────────────────────────────────────────────────┘       │
│                          │                                  │
│   ┌──────────────────────┴──────────────────────────┐       │
│   │              Core Components                     │       │
│   ├─────────────────────────────────────────────────┤       │
│   │  ConnectionManager │ TransactionManager │ MigrationManager │
│   └─────────────────────────────────────────────────┘       │
│                                                             │
│   ┌──────────────────────────────────────────────────────┐   │
│   │         Knowledge Graph + Document Pipeline           │   │
│   ├──────────────────────────────────────────────────────┤   │
│   │  KnowledgeGraph │ FTS5 Search │ DocumentPipeline      │   │
│   │  (WAL mode / batch queries / thread-local conn)       │   │
│   └──────────────────────────────────────────────────────┘   │
│                                                             │
└─────────────────────────────────────────────────────────────┘

Three-Dimensional Memory System

Memory Type	Purpose	Example
Factual	Static factual information	Project name, tech stack, architecture decisions
Experiential	Dynamic experiential information	Pitfalls, best practices, user feedback
Working	Current working state	Current task, progress, blockers

📦 Module Description

Module	Function	Token Savings
UnifiedDB	Unified database management	60%+
Session	Unified database session interface	0
ConnectionManager	Dynamic pool/pre_ping/PRAGMA tuning	0
TransactionManager	ACID transactions/exponential backoff	0
QueryBuilder	Django-style chained query builder	0
MarkdownSync	Auto-sync to Markdown	100%
FileManager	Smart file read/write (hash detection)	90%+
LoopDetector	Pattern-based loop detection	100%
Reminder	Event reminders	100%
SkillEvolution	Skills self-evolution	0
KnowledgeGraph	Knowledge graph	80%+
Browser	Browser automation	50%+
Document	Document pipeline (PDF/Word/Excel/XMind etc.)	80%+
Encoding	Unified UTF-8 encoding (cross-platform)	0

🧪 Testing

# Run all tests
pytest tests/

# Run specific tests
pytest tests/knowledge_graph/

# Coverage report
pytest --cov=quickagents tests/

📚 Documentation

🤝 Contributing

Contributions are welcome! Please check CONTRIBUTING.md for details.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📊 Project Stats

Version: 2.11.0
Python Support: 3.9+
License: MIT
Author: Coder-Beam

🔗 Links

GitHub: https://github.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM
PyPI: https://pypi.org/project/quickagents/
Documentation: https://github.com/Coder-Beam/Quick-Agents-for-Z.AI-GLM/tree/main/Docs

Made with ❤️ by Coder-Beam

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2.25.7

Apr 26, 2026

2.25.6

Apr 8, 2026

2.25.5

Apr 6, 2026

This version

2.11.0

Apr 6, 2026

2.10.0

Apr 6, 2026

2.9.0

Apr 5, 2026

2.8.3

Apr 4, 2026

2.8.2

Apr 4, 2026

2.8.1

Apr 4, 2026

2.8.0

Apr 1, 2026

2.7.9

Apr 1, 2026

2.7.8

Apr 1, 2026

2.7.6

Apr 1, 2026

2.7.5

Apr 1, 2026

2.7.0

Mar 31, 2026

2.6.8

Mar 30, 2026

2.1.1

Mar 31, 2026

1.0.0

Mar 29, 2026

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quickagents 2.11.0

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Project description

QuickAgents

QuickAgents (中文)

📖 项目简介

🎯 核心目标

✨ 核心功能

1. 统一数据库系统 (UnifiedDB V2)

2. 自我进化系统 (SkillEvolution)

3. 知识图谱系统 (KnowledgeGraph)

4. 浏览器自动化 (Browser)

🚀 安装

方式一：一行命令安装（推荐）

方式二：两步安装

方式三：让AI代理自动安装（最省心）

可选参数

完整安装（包含所有可选依赖）

开发模式

📋 CLI命令

数据库操作

任务管理

进化系统

Git集成

TDD工作流

反馈收集

模型配置（ZhipuAI GLM Coding Plan）

其他命令

版本管理

卸载

⌨️ Slash命令（OpenCode内）

工作流命令

Skill管理

开发辅助

版本管理

反馈

其他

🏗️ 架构

三维记忆系统

📦 模块说明

🧪 测试

📚 文档

🤝 贡献

📄 许可证

QuickAgents (English)

📖 Overview

🎯 Core Goals

✨ Core Features

1. Unified Database System (UnifiedDB V2)

2. Self-Evolution System (SkillEvolution)

3. Knowledge Graph System (KnowledgeGraph)

4. Browser Automation (Browser)

🚀 Installation

Option 1: One-Line Install (Recommended)

Option 2: Two-Step Install

Option 3: AI-Assisted Install (Recommended)

Optional Flags

Full Installation (with all optional features)

Development Mode

📋 CLI Commands

Database Operations

Task Management

Evolution System

Git Integration

TDD Workflow

Feedback Collection

Model Configuration (ZhipuAI GLM Coding Plan)

Version Management

Uninstall

🏗️ Architecture

Three-Dimensional Memory System

📦 Module Description

🧪 Testing

📚 Documentation