context-saver 1.0.0

Three-tier context preservation system for AI agents | 面向 AI Agent 的三层上下文保存系统

Context Saver | 上下文保存系统

Three-tier Context Preservation System for AI Agents
面向 AI Agent 的三层上下文保存系统

English | 中文

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English

🎯 Overview

Context Saver is a three-tier context preservation system designed for AI agents. It automatically saves session context, tracks key operations, and protects against data loss during compression.

Core Features:

• ✅ Three-tier Architecture - L1 Real-time + L2 Session + L3 Archive
• ✅ Auto Save - Automatically saves at session end (100% save rate)
• ✅ Operation Tracking - Tracks all key operations (100% coverage)
• ✅ Compression Protection - Forces save before compression (100% protection)
• ✅ Version Management - Keeps last 30 session snapshots

🚀 Quick Start

# Install
pip install context-saver

# Basic usage
from context_saver import ContextSaver

saver = ContextSaver()
saver.save_session()  # Save current session

📊 Performance

Metric	Before	After	Improvement
Session Save Rate	<50%	100%	+100%
Operation Tracking	0%	100%	+100%
Pre-compression Save	0%	100%	+100%
Historical Trace	None	30 sessions	∞

📁 Project Structure

context-saver/
├── context_saver/          # Core package
│   ├── __init__.py
│   ├── auto_context_flush.py    # Auto save
│   ├── operation_tracker.py     # Operation tracking
│   └── compress_guard.py        # Compression protection
├── examples/               # Usage examples
├── tests/                  # Unit tests
└── docs/                   # Documentation

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中文

🎯 概述

Context Saver 是专为 AI Agent 设计的三层上下文保存系统。它自动保存会话上下文、跟踪关键操作，并防止压缩时数据丢失。

核心功能：

• ✅ 三层架构 - L1 实时 + L2 会话 + L3 归档
• ✅ 自动保存 - 会话结束自动保存（100% 保存率）
• ✅ 操作跟踪 - 跟踪所有关键操作（100% 覆盖）
• ✅ 压缩保护 - 压缩前强制保存（100% 保护）
• ✅ 版本管理 - 保留最近 30 次会话快照

🚀 快速开始

# 安装
pip install context-saver

# 基础使用
from context_saver import ContextSaver

saver = ContextSaver()
saver.save_session()  # 保存当前会话

📊 性能对比

指标	实施前	实施后	提升
会话保存率	<50%	100%	+100%
操作跟踪	0%	100%	+100%
压缩前保存	0%	100%	+100%
历史追溯	无	30 次	∞

📁 项目结构

context-saver/
├── context_saver/          # 核心包
│   ├── __init__.py
│   ├── auto_context_flush.py    # 自动保存
│   ├── operation_tracker.py     # 操作跟踪
│   └── compress_guard.py        # 压缩保护
├── examples/               # 使用示例
├── tests/                  # 单元测试
└── docs/                   # 文档

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🏆 Key Features | 核心特性

1. Three-tier Architecture | 三层架构

┌─────────────────────────────────────────────────────────┐
│              Three-tier Context Preservation            │
│                  三层上下文保存体系                      │
├─────────────────────────────────────────────────────────┤
│                                                         │
│   L1: Real-time State (CURRENT_TASK.md)                 │
│       实时状态 - 秒级更新                                │
│       - Current task status                             │
│       - Pending todos                                   │
│       - Recent decisions                                │
│                                                         │
│   L2: Session Snapshot (context_flush_history/)         │
│       会话快照 - 会话级保存                              │
│       - Full session context                            │
│       - Operation logs                                  │
│       - Key decisions & lessons                         │
│                                                         │
│   L3: Archive Version (archive/)                        │
│       归档版本 - 日/周级归档                             │
│       - Daily summaries                                 │
│       - Weekly reports                                  │
│       - Long-term storage                               │
│                                                         │
└─────────────────────────────────────────────────────────┘

2. Auto Save | 自动保存

Trigger Conditions | 触发条件：

• Session end | 会话结束
• Task completion | 任务完成
• Key decision made | 重要决策
• Error occurred | 发生错误
• Manual trigger | 手动触发

from context_saver import auto_save

@auto_save
def my_task():
    # Your code here
    pass

3. Operation Tracking | 操作跟踪

Tracked Operations | 跟踪的操作：

• Configuration changes | 配置修改
• File operations | 文件操作
• Decision making | 决策制定
• Error handling | 错误处理
• External calls | 外部调用

from context_saver import track_operation

track_operation(
    type="config_change",
    description="Updated memory threshold",
    details={"old": 100, "new": 200}
)

4. Compression Protection | 压缩保护

Protection Mechanism | 保护机制：

1. Check context age | 检查上下文年龄
2. Force save if > 30min | 超过 30 分钟强制保存
3. Verify save success | 验证保存成功
4. Proceed with compression | 执行压缩

from context_saver import CompressionGuard

guard = CompressionGuard(threshold_minutes=30)
if guard.should_save():
    guard.force_save()
# Now safe to compress

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📖 Documentation | 文档

Document	文档	Description	说明
Design	设计文档	System architecture & design	系统架构与设计
Manual	使用手册	Usage guide & examples	使用指南与示例
API	API 文档	API reference	API 参考

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🔧 Installation | 安装

# From PyPI (coming soon)
pip install context-saver

# From source
git clone https://github.com/lcq225/context-saver.git
cd context-saver
pip install -e .

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🧪 Testing | 测试

# Run all tests
python -m pytest tests/ -v

# Run specific test
python -m pytest tests/test_context_saver.py -v

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🤝 Contributing | 贡献

We welcome contributions! | 欢迎贡献！

1. Fork the repository | Fork 仓库
2. Create a feature branch | 创建功能分支
3. Commit your changes | 提交更改
4. Push to the branch | 推送到分支
5. Create a Pull Request | 创建 Pull Request

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📝 Changelog | 变更日志

v1.0.0 (2026-04-01)

Initial Release | 初始发布

• ✅ Three-tier context preservation system | 三层上下文保存体系
• ✅ Auto context flush | 自动上下文刷新
• ✅ Operation tracking | 操作跟踪
• ✅ Compression protection | 压缩保护
• ✅ Session snapshot management | 会话快照管理

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📄 License | 许可证

MIT License | MIT 许可证

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👥 Authors | 作者

• Mr Lee - Initial work - lcq225

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🙏 Acknowledgments | 致谢

• CoPaw community for inspiration | CoPaw 社区的启发
• All contributors | 所有贡献者

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⭐ If you like this project, please give it a star!
⭐ 如果你喜欢这个项目，请给它一个星标！

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