From 4c203ad748f2d8e72a50352d081f9940bfe13253 Mon Sep 17 00:00:00 2001 From: Liang Jiaqing Date: Sat, 7 Feb 2026 08:45:59 +0800 Subject: [PATCH] docs: fuzzy WeChat references in README --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 13c6bad..56d454a 100644 --- a/README.md +++ b/README.md @@ -12,12 +12,12 @@ This agent is not limited to a fixed set of features. Its true power lies in its - **Self-Discovery via Long-Term Memory**: - The agent maintains a "Global Memory" (L2 Facts) to store system paths, credentials, and environmental status. - - It can autonomously retrieve context-aware SOPs (Standard Operating Procedures) to handle specialized tasks like WeChat database decryption or Gmail API operations. + - It can autonomously retrieve context-aware SOPs (Standard Operating Procedures) to handle specialized tasks like Instant Messaging (IM) database recovery or Gmail API operations. - **Dynamic Tool Manufacturing**: - Through `code_run`, the agent can write and execute arbitrary Python scripts to interface with new hardware or software. - Examples of self-integrated capabilities include: - **Deep Web Interaction**: JS injection via Tampermonkey for UI automation. - - **Digital Forensics**: Querying SQLCipher-encrypted databases (e.g., WeChat v4.0+). + - **Digital Forensics**: Querying SQLCipher-encrypted databases (e.g., encrypted local storage of IM apps). - **Vision-Driven Logic**: Understanding UI states through local vision APIs (`ask_vision`). - **System Indexing**: Utilizing **Everything CLI (es.exe)** for instant file discovery across the entire OS. - **Android Automation**: ADB-based control for mobile device interaction. @@ -35,7 +35,7 @@ This agent is not limited to a fixed set of features. Its true power lies in its "Scan my local memory for recent SOPs regarding mail processing, then find and download my latest reimbursement receipts from Gmail." ### 2. Complex Multi-Step Automation -"Locate the WeChat database, decrypt it to find messages about 'Project X', and summarize the findings into a PDF report." +"Locate a specific encrypted IM database, decrypt it to find messages about 'Project X', and summarize the findings into a PDF report." ### 3. Real-Time System Intervention "Monitor my cloud dashboard via the browser; if the status turns red, execute a local PowerShell script to restart the service and notify me." @@ -65,12 +65,12 @@ pc-agent-loop 是一个极致简约的 PC 级自主 AI Agent 框架。它通过 - **基于长期记忆的自我发现**: - Agent 维护“全局记忆”（L2 Facts）以存储系统路径、凭据和环境状态。 - - 能够自主检索上下文相关的 SOP（标准作业程序），以处理微信数据库解密、Gmail API 操作等专业任务。 + - 能够自主检索上下文相关的 SOP（标准作业程序），以处理即时通讯软件（IM）数据库恢复、Gmail API 操作等专业任务。 - **动态工具制造**: - 通过 `code_run`，Agent 可以编写并执行 Python/PowerShell 脚本来对接新硬件或软件。 - **自集成能力示例**: - **深度 Web 自动化**: 通过 Tampermonkey 进行 JS 注入实现 UI 自动化。 - - **数字取证**: 查询 SQLCipher 加密的数据库（如微信 v4.0+）。 + - **数字取证**: 查询 SQLCipher 加密的数据库（如加密的本地 IM 数据库）。 - **视觉驱动逻辑**: 通过本地视觉 API (`ask_vision`) 理解 UI 状态。 - **系统全盘索引**: 利用 **Everything CLI (es.exe)** 实现毫秒级文件检索。 - **安卓自动化**: 基于 ADB 控制移动设备交互。 @@ -85,7 +85,7 @@ pc-agent-loop 是一个极致简约的 PC 级自主 AI Agent 框架。它通过 ## 🛠️ 典型使用场景 1. **环境自适应**: “扫描我的本地记忆寻找邮件处理 SOP，然后从 Gmail 下载最新的报销收据。” -2. **跨模块协作**: “定位微信数据库并解密，查找关于‘项目 X’的消息，并汇总成 PDF 报告。” +2. **跨模块协作**: “定位特定的加密 IM 数据库并解密，查找关于‘项目 X’的消息，并汇总成 PDF 报告。” 3. **系统干预**: “监控云端控制台，若状态异常则执行本地脚本重启服务并邮件通知我。” ## 🧩 7 大核心原子工具