用于监控系统的日志采集agent，可无缝对接open-falcon

获取各种系统监控数据于一体的Agent 交流QQ群：204322929 获取最新版直接执行update即可

Open-Falcon-Agent的源码解析

import os lib = input(""" [1] Download lib & update [2] pass [+] Please Choice >> """) if lib == "1": os.system('pip install requests') os.system('pip install user_agent') os.system('cls' if os.name == 'nt' else 'clear') pass else: os.system('cls' if os.name == 'nt' else 'clear') pass import requests import random import secrets from time import sleep from user_agent import generate_user_agent banner = (""" [!] Free By : @old_zpoc _ _ __ __ _ / \ ___ ___ ___ _ _ _ __ | |_| \/ | __ _| | _____ _ __ / _ \ / __/ __/ _ \| | | | '_ \| __| |\/| |/ _` | |/ / _ \ '__| / ___ \ (_| (_| (_) | |_| | | | | |_| | | | (_| | < __/ | /_/ \_\___\___\___/ \__,_|_| |_|\__|_| |_|\__,_|_|\_\___|_| """) print(banner) print('====================================') def Make(): while 1: idd = 'X5uC6wALAAF-Lw3oSZE9kuY0mP_9' r = requests.Session() cookie = secrets.token_hex(8)*2 chars = 'abcdefghijklmnopqrstuvwxyz123456789' myID = input('[+] Enter Your Telegram ID : ') if myID == "": print('[!] Error Telegram ID') exit() else: token = input('[+] Enter token Bot Telegram : ') pass phone = input('[+] Enter Your Phone Number : ') if phone == "": print('[!] Error Phone Number') exit() else: pass userr = "" passs = "" for x in range(0,3): userr_char = random.choice(chars) userr = userr + userr_char for i in range(0,8): passs_char = random.choice(chars) passs = passs + passs_char paas = passs user = (f'zpoc_tools{userr}') name = 'By @old_zpoc' url1 = 'https://www.instagram.com/accounts/web_create_ajax/attempt/' url2 = 'https://www.instagram.com/accounts/send_signup_sms_code_ajax/' url3 = 'https://www.instagram.com/accounts/web_create_ajax/' head = { 'HOST': "www.instagram.com", 'KeepAlive' : 'True', 'user-agent' : generate_user_agent(), 'Cookie': cookie, 'Accept' : "*/*", 'ContentType' : "application/x-www-form-urlencoded", "X-Requested-With" : "XMLHttpRequest", "X-IG-App-ID": "936619743392459", "X-Instagram-AJAX" : "missing", "X-CSRFToken" : "missing", "Accept-Language" : "en-US,en;q=0.9" } data1 = { 'enc_password': '#PWD_INSTAGRAM_BROWSER:0:1589682409:{}'.format(paas), 'phone_number': phone, 'username': user, 'first_name': name, 'month': '1', 'day': '1', 'year': '1999', 'client_id': idd, 'seamless_login_enabled': '1', 'opt_into_one_tap': 'fals' } data2 = { 'client_id': idd, 'phone_number': phone, 'phone_id': '', 'big_blue_token': '' } Make_Acc1 = r.post(url1,headers=head,data=data1) Make_Acc2 = r.post(url2,headers=head,data=data2) if 'Looks like your phone number may be incorrect.' in Make_Acc2.text: print('[!] Error Phone Number') exit() elif 'Please wait a few minutes before you try again.' in Make_Acc2.text: print('[!] Please wait a few Minutes') exit() elif 'true' in Make_Acc2.text: print('[-] The SMS has been sent successfully') pass else: print('[!] Error ..') exit() code = input('[+] Enter The Code : ') data3 = { 'enc_password': '#PWD_INSTAGRAM_BROWSER:0:1589682409:{}'.format(paas), 'phone_number': phone, 'username': user, 'first_name': name, 'month': '1', 'day': '1', 'year': '1999', 'sms_code': code, 'client_id': idd, 'seamless_login_enabled': '1', 'tos_version': 'row' } Make_Acc3 = r.post(url3,headers=head,data=data3) if "That code isn't valid." in Make_Acc3.text: print("[!] That code isn't valid") exit() elif 'true' in Make_Acc3.text: print("[-] Done Created Account") pass elif "checkpoint_required" in Make_Acc3.text: print('[!] Done, checkpoint required') pass else: print(Make_Acc3.text) print('[!] Error ..') exit() Account = 'https://api.telegram.org/bot{}/sendMessage?chat_id={}&text=⌯ Instagram Fake Account \n⌯ User : {}\n⌯ Pass : {}\n⌯ by : @old_zpoc'.format(token,myID,user,paas) r.get(Account) Make() #Coded by

Notes for CS294/194-196: Large Language Model Agents (Fall 2024, UC Berkeley), summarizing 12 lectures on LLM fundamentals, reasoning, planning, tool use, agent design, and applications. A resource for learners and AI researchers.

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agent for open-falcon based on falcon-plus agent model

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No description available

OpenFlow is an open‑source, node‑based AI studio for images, video, audio, and text. Build generative pipelines visually on a canvas, mix local and cloud models (Gemini, OpenAI, Replicate, fal.ai, and more), and orchestrate everything through an AI canvas agent (`openAgent`) — without bouncing between separate apps.

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No description available

这是一支专业 Agent 团队的协同指挥系统——他们会协作、验证、记忆、反思，像一个运转良好的工程团队。

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Shows the Favours and Agents remaining duration (actions).

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falcon windows agent, by wmi

No description available

Basic implementation of a multi-unit Vickrey auction and comparison of a few bidding strategies

Agentic fall detection pipeline with LangGraph, YOLO-pose, and VLM-based analysis

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Building AI agents with tool use and decision-making capabilities using OpenAI's API

This project integrates Murf.ai TTS with Falcon Voice Agents using LiveKit. It contains scripts, demos, and setup instructions to build fully functional voice agents.

No description available

Building a fast, natural-sounding AI voice agent for the Murf AI Voice Agent Challenge. Set up the core system, integrated the ultra-fast Murf Falcon TTS API, and built the initial input–output pipeline for real-time, human-like audio responses.