Automate lead research, qualification, and outreach with AI agents and Langgraph, creating personalized messaging and connecting with your CRMs (HubSpot, Airtable, Google Sheets)

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Ranking LLMs on agentic tasks

An AI agent that automates company research and lead prospecting (powered by langgraph and firecrawl)

Knotie-AI - A Completely Open-Source Inbound/Outbound AI Sales Agent which can communicate with your potential lead/customer.

An AI-native design team for VS Code — one orchestrator routes your requests to specialist agents (UX, UI, research, content) that collaborate autonomously. Design Lead reviews every output and drives next steps until the project is complete. Memory persists decisions across sessions. Just talk to @Design Jarvis and it handles the rest.

A Claude Code custom skill that turns Claude into a Tech Lead — coordinating parallel Worker Agents through a full dev workflow: PRD alignment, architecture, coding, QA, and PR review.

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A practical collection of plug-and-play starter blueprints for building autonomous AI apps with real APIs. Discover ready-to-build agent workflows, API stacks, architecture patterns, prompts, and monetization ideas for research agents, lead gen systems, SEO automations, MCP toolchains, and more.

AI Lead Generation Agent that automatically discovers and qualifies potential leads from Quora. Using Firecrawl for intelligent web scraping, Phidata for agent orchestration, and Composio for Google Sheets integration, you'll create a system that can continuously generate and organize qualified leads with minimal human intervention!

Voice AI agent for reactivating cold leads through personalized calls, assessing their interest with AI agents, and syncing insights directly to your CRMs.

Demo application for an event-driven multi-agent system for handling lead processing using an orchestrator built in Flink

🎭 cc-best: Turn Claude Code into a full dev team — PM→Lead→Dev→QA autonomous workflow. 40 commands · 17 skills · 8 agents · 33 rules · 21 hooks · auto-learning pipeline. | 一个插件，完整开发团队。

一个为 Claude Code 设计的简化版多智能体研究系统，通过并行子代理执行基于 Web 的综合性研究。 概述 本系统使用三种专门的代理类型： 研究主导代理（Research Lead Agent）：统筹研究、规划任务、委派给子代理、综合发现 研究子代理（Research Subagents）：使用 Web 工具并行执行专注的研究任务 引用代理（Citations Agent）：为研究报告添加适当的引用

Reproducible Language Agent Research

🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt UI dashboard. Also includes an Agentic Team runtime with role-based multi-agent open communication & lead-gated final responses.

Production-ready AI-powered CRM with 6 autonomous agents for lead qualification, email intelligence, sales pipeline, customer success, meeting scheduling, and analytics

AI-powered telephony solution that enables businesses to deploy intelligent voice agents for various use cases such as customer support, appointment scheduling, lead qualification, and information collection.

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AI-powered lead generation tool that transforms user queries into targeted Quora lead searches. Leverages Groq AI and Firecrawl to extract user interactions, helping businesses discover potential leads through intelligent query processing and web scraping.

A conversational agent or a chatbot is piece of software which can communicate with human users with the help of natural language processing (NLP). Modelling conversation is a very crucial task in natural language processing and artificial intelligence (AI). Since the discovery of artificial intelligence, creating a good chatbot is one of the field’s hardest and complex challenges. Chatbots can be used for various tasks such as make phone calls, provide reminders etc; in general they have to understand users’ utterances and provide relevant responses for the problem in hand. Previously, methods which were used for constructing chatbot architectures relied on hand-written rules, templates or simple statistical methods. Rising and innovating field of deep learning have replaced previous models with trainable neural network models. The recurrent encoder-decoder model is the dominating model in the field modelling conversations. Multiple variations and features have been presented that have changed the quality of the conversation that chatbots are capable of. In our project, we have surveyed recent literatures published, examining various publications related to chatbots. We started with taking Cornell movie dialogue corpus as our dataset then after training our model with it and fine tuning it with various parameters, non-satisfactory results lead us to take another dataset and we trained and tested our final model on modified Gunthercox dataset which gave us satisfactory results for an open domain chatbot or general domain chatbot.

leadigital-agent

Multi-Agent Collaboration Platform — A Team Lead interface for orchestrating multiple AI agents to accomplish complex tasks together.

Analyze and report on agent/skill execution contributions in Claude Code

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Baseline agents for the leaderboard

Fully automated AI-powered phone call agent built with n8n, Vapi, and Google Sheets. Perfect for lead validation and real-time voice interaction workflows.

Unreal Shlim AI şirketi için geliştirilmiş yapay zeka asistan API'si. LangChain ve OpenAI kullanarak bilgi tabanı erişimi sunar, FastAPI ile modern bir API arayüzü sağlar, müşteri adaylarını Airtable'a kaydeder ve Voiceflow ile kolayca entegre edilebilir. AI Agent otomasyonu hakkında bilgi vermek ve potansiyel müşterileri yakalamak için ideal çözüm

A lightweight Python tool that scrapes FSBO listings from Zillow and emails daily lead reports using SendGrid. Designed for real estate agents and investors seeking a simple, automated way to generate fresh FSBO leads.

This repository provides a comprehensive framework for developing a lead generation startup powered by AI agents (LangGraph, Ollama, Llama3.1). It includes modules for data acquisition, processing, and intelligent decision-making to enhance lead qualification and conversion.