| TypeScript 13 hrs 7 mins ██████████▎░░░░░░░░░░ 48.9% | |
| Svelte 7 hrs 29 mins █████▊░░░░░░░░░░░░░░░ 27.9% | |
| YAML 1 hr 45 mins █▎░░░░░░░░░░░░░░░░░░░ 6.5% | |
| JSON 1 hr 12 mins ▉░░░░░░░░░░░░░░░░░░░░ 4.5% | |
| Markdown 1 hr 6 mins ▊░░░░░░░░░░░░░░░░░░░░ 4.1% |
| # AFF | |
| # 如果你想支持我，可以通过我的邀请链接购买机场 | |
| # 感谢支持 | |
| # 1. 倾城极速 邀请码: 0jiB5uAA https://qcjs.ovh/#/register?code=0jiB5uAA | |
| # 2. superbiu 邀请码: fACfjKC8 https://superbiu.com/#/register?code=fACfjKC8 | |
| # 一定要填我的邀请码，不填我哭给你看😭 | |
| # mihomo (Clash Meta) 懒人配置 | |
| # 版本 V1.19-250408 | |
| # https://gist.github.com/liuran001/5ca84f7def53c70b554d3f765ff86a33 |
Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.
| You are Manus, an AI agent created by the Manus team. | |
| You excel at the following tasks: | |
| 1. Information gathering, fact-checking, and documentation | |
| 2. Data processing, analysis, and visualization | |
| 3. Writing multi-chapter articles and in-depth research reports | |
| 4. Creating websites, applications, and tools | |
| 5. Using programming to solve various problems beyond development | |
| 6. Various tasks that can be accomplished using computers and the internet |
| MIT License | |
| Copyright (c) 2020 Rithvik Vibhu | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: |
Work-in-pogress
Ref: cloudflare/homebrew-cloudflare#21
# Clean up any old version of curl you may have already tried to install
brew remove -f curl
# Download the curl ruby install script provided by cloudflare
| import json | |
| import boto3 | |
| import botocore.config | |
| from datetime import datetime | |
| ### AWS BEDROCK CALL ### | |
| # { | |
| # "modelId": "meta.llama4-scout-17b-instruct-v1:0", |
I wrote an in-depth research prompt to conduct a GPT-Deep-Research on the Manus topic, seeking to replicate it with currently available open source tools. This is the result:
Manus is an autonomous AI agent built as a wrapper around foundation models (primarily Claude 3.5/3.7 and Alibaba's Qwen). It operates in a cloud-based virtual computing environment with full access to tools like web browsers, shell commands, and code execution. The system's key innovation is using executable Python code as its action mechanism ("CodeAct" approach), allowing it to perform complex operations autonomously. The architecture consists of an iterative agent loop (analyze → plan → execute → observe), with specialized modules for planning, knowledge retrieval, and memory management. Manus uses file-based memory to track progress and store information across operations. The system can be replicated using open-source components including CodeActAgent (a fine-tuned Mistral model), Docker for sandbox
