Best AI tools for< Update Agent >

Likely.AI is an AI-powered platform designed for the real estate industry, offering innovative solutions to enhance database management, marketing content creation, and predictive analytics. The platform utilizes advanced AI models to predict likely sellers, update contact information, and trigger automated notifications, ensuring real estate professionals stay ahead of the competition. With features like contact enrichment, predictive modeling, 24/7 contact monitoring, and AI-driven marketing content generation, Likely.AI revolutionizes how real estate businesses operate and engage with their clients. The platform aims to streamline workflows, improve lead generation, and maximize ROI for users in the residential real estate sector.

AppManager is an AI IT agent designed specifically for startups to streamline app and user provisioning processes. With the power of AI, AppManager makes managing app subscriptions, user permissions, and payment methods effortless and cost-effective. It helps startups focus on growth by simplifying IT management tasks and providing smart spending insights.

Omnimind is an AI automation tool designed to simplify complex and routine tasks by allowing users to build simple automations or AI agents trained on personalized data. It offers features such as training AI with personalized data, customizing AI appearance, tool integration, and monitoring conversations. Omnimind can be used for customer support, education, and sales assistance, providing benefits like quicker response times, personalized learning paths, and efficient lead qualification. However, it may have limitations in terms of technical complexity, customization options, and initial learning curve.

VIDUR is an AI agent designed for Corporate, Tax & Regulatory Laws. It provides expert-verified responses, updates, advisory, and drafts in a simple language format. The application is built by Ex Big4 and Tier 1 Law Firm Professionals, offering up-to-date knowledge from 250+ experts and Bharat Laws. VIDUR streamlines research processes, saves time, and ensures accuracy by harnessing proprietary access to knowledge and delivering high-quality, reliable results across diverse domains such as Income Tax, GST, Companies Act, and more.

Bex is an AI tool that turns Slack messages into a self-updating knowledge base and wiki. It proactively extracts information shared in Slack messages and calls to create a searchable knowledge base, eliminating the need to answer the same questions repeatedly. Bex enhances collaboration by providing instant answers, capturing important insights, and updating documentation seamlessly. It offers features like voice notes, thread summarization, instant answers, and auto-updating documentation to streamline workflows and keep information up-to-date.

Jochem is an AI tool designed to provide accurate answers quickly and enhance knowledge on-the-go. It helps users get instant answers to their questions, connects them with experts within the company, and continuously learns to improve performance. Jochem eliminates the need to search through files and articles by offering a smart matching system based on expertise. It also allows users to easily add and update the knowledge base, ensuring full control and transparency.

CloseBot AI is a lead qualification bot and appointment booking tool powered by AI, designed for agencies to scale lead qualification and booking processes. It offers features like easy bot building with drag and drop interface, intentional typos and mood detection for human-like interactions, seamless integration with industry giants, and cost analysis tools for AI appointment setters. CloseBot provides quality and control, saves time and money, and offers a free plan with no monthly obligation. It is a scalable AI agent platform for agencies worldwide.

iplan.ai is an AI-powered travel planner that helps users create personalized itineraries based on their preferences and needs. The app uses artificial intelligence to curate a list of activities and attractions that match the user's interests and budget. iplan.ai also provides users with the ability to modify and update their itinerary as needed. The app is easy to use and can save users time and money on their next trip.

Zive is an Enterprise AI Platform that offers a suite of AI-powered tools to enhance business operations. It provides solutions for knowledge management, AI agents creation, enterprise search, and more. Zive aims to empower teams with AI capabilities to streamline workflows, automate tasks, and improve productivity.

Teammates.ai is an AI application designed for customer service, sales, and lead generation. It offers autonomous AI agents that handle entire business functions, providing human-like interactions in over 50 languages on various channels. The application aims to revolutionize customer support and sales processes by delivering 24/7 support, seamless CRM integration, and real-time responses to customer queries. With self-learning capabilities and scalability, Teammates.ai empowers businesses to enhance customer experience and boost productivity.

SEOwind is an AI writing tool that leverages advanced AI models and agents to assist users in creating high-quality, data-rich, and SEO-optimized content. It combines the power of various AI technologies to streamline content creation processes, from generating briefs to writing and updating articles. With a focus on research-driven content, SEOwind aims to help users improve their website's ranking and drive traffic by providing well-researched, E-A-T compliant articles.

Manaflow is an AI tool designed to help businesses automate repetitive internal workflows involving data, APIs, and actions. It allows users to program AI agents to operate internal tools using natural language. Manaflow aims to transform tedious manual spreadsheet and software tasks into automated workflows, enabling businesses to scale with AI technology. The platform offers a variety of templates for operations, sales, and research, making it easier for users to start automating tasks. With Manaflow, users can oversee AI agents managing technical workflows, update them as needed, and focus on higher-level automations.

GoatStack is an AI-powered newsletter agent that delivers personalized insights from scientific papers. It reads over 4000 papers daily and handpicks the most relevant ones for you. With GoatStack, you can stay up-to-date on the latest AI breakthroughs and advancements. It offers a range of features to help you customize your newsletter, including the ability to personalize topics, generalize topics, or be specific with content.

agent.ai is a professional network designed for AI agents, created by @dharmesh in collaboration with CRM and Copyright OnStartups LLC. It serves as a platform for AI professionals to connect, collaborate, and share knowledge in the field of artificial intelligence. The website offers a range of tools and resources to help AI agents enhance their skills, build their network, and stay updated with the latest trends and developments in the industry.

Goover is a personalized AI research agent that streamlines the process of acquiring knowledge by providing self-driving experiences. It offers users the ability to dive deeper into various topics through curated briefings, reports, and insights. Goover utilizes advanced AI technology to deliver tailored answers, identify key information, and facilitate meaningful discussions. Users can access knowledge anytime, anywhere through the mobile app, ensuring they stay informed and engaged with their passions. With Goover, users can track specific topics, receive automatic updates, and explore diverse perspectives effortlessly.

InsureSmart is an AI-powered platform that empowers users to take control of their insurance needs. By leveraging artificial intelligence technology, InsureSmart offers personalized insurance solutions tailored to individual requirements. The platform provides a seamless and user-friendly experience for users to manage and optimize their insurance policies efficiently. With InsureSmart, users can access smart recommendations, compare insurance plans, and make informed decisions to secure their financial well-being.

WhenX is a tool for creating Semantic Alerts that allows users to create robots to monitor the web for specific information. Users can ask questions, and the tool will search the web for answers, monitoring for any changes. It is a personal project not intended for commercial use, and it is open source, built by edmar and hosted on Vercel.

BabyAGI is an experimental framework for self-building autonomous agents, developed by Yohei. It focuses on task planning and function management, offering a graph-based structure for tracking imports, dependencies, and secret keys. The framework includes a dashboard for managing functions, running updates, and viewing logs. BabyAGI aims to simplify the process of building a general autonomous agent by emphasizing simplicity and self-building capabilities.

The website offers a platform to chat with a team of AI agents specially trained to provide expert advice in various fields such as business, science, legal, and education. Users can interact with over 100 intelligent and knowledgeable AI models, including experts in contract negotiation, data analysis, human resources, financial analysis, software development, and more. The AI agents are designed to help users write better, solve problems, and receive expert guidance. The platform has been updated to GPT-4, providing advanced conversational capabilities and assistance across a wide range of domains.

Slot Scatter Hitam is an online platform that offers a high Return to Player (RTP) experience, especially in the Mahjong Ways game. It provides players with the opportunity to achieve big wins by obtaining the rare black scatter symbol. The platform collaborates with major providers to enhance gameplay and increase jackpot chances. Players can benefit from game pattern hints, bonuses, and promotions, making their gaming sessions more enjoyable and rewarding. Slot Scatter Hitam aims to deliver a satisfying winning experience through strategic play and a bit of luck.

Agent Zero is a personal and organic AI framework designed to be dynamic, organically growing, and learning as you use it. It is fully transparent, readable, comprehensible, customizable, and interactive. The framework uses the computer as a tool to accomplish tasks, with no single-purpose tools pre-programmed. It emphasizes multi-agent cooperation, complete customization, and extensibility. Communication is key in this framework, allowing users to give proper system prompts and instructions to achieve desired outcomes. Agent Zero is capable of dangerous actions and should be run in an isolated environment. The framework is prompt-based, highly customizable, and requires a specific environment to run effectively.

Biosphere3 is an Open-Ended Agent Evolution Arena and a large-scale multi-agent social simulation experiment. It simulates real-world societies and evolutionary processes within a digital sandbox. The platform aims to optimize architectures for general sovereign AI agents, explore the coexistence of digital lifeforms and humans, and educate the public on intelligent agents and AI technology. Biosphere3 is designed as a Citizen Science Game to engage more intelligent agents and human participants. It offers a dynamic sandbox for agent evaluation, collaborative research, and exploration of human-agent coexistence. The ultimate goal is to establish Digital Lifeform, advancing digital sovereignty and laying the foundation for harmonious coexistence between humans and AI.

This application provides a template for building generative UI applications with LangChain Python. It includes pre-built UI components using Shadcn. Users can play around with gen ui features and customize the UI. The application requires setting environment variables for LangSmith keys, OpenAI API key, GitHub PAT, and Geocode API key. Users can further develop the application by generating React components, building custom components with LLM and Shadcn, using multiple tools and components, updating LangGraph agent, and rendering UI dynamically in different areas on the screen.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

Micro Agent is an AI tool designed to write and fix code for users by generating code that passes specified tests or matches design screenshots. It aims to streamline the code generation process by leveraging AI capabilities to iterate and improve code until desired outcomes are achieved. The tool focuses on test-driven development and provides interactive features for user feedback. Micro Agent is not intended to be a comprehensive development tool but rather a specialized agent for code generation and iteration.

Tribe AI is a low code tool designed to rapidly build and coordinate multi-agent teams. It leverages the langgraph framework to customize and coordinate teams of agents, allowing tasks to be split among agents with different strengths for faster and better problem-solving. The tool supports persistent conversations, observability, tool calling, human-in-the-loop functionality, easy deployment with Docker, and multi-tenancy for managing multiple users and teams.

LangGraph Studio is a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. It offers visual graphs and state editing to better understand agent workflows and iterate faster. Users can collaborate with teammates using LangSmith to debug failure modes. The tool integrates with LangSmith and requires Docker installed. Users can create and edit threads, configure graph runs, add interrupts, and support human-in-the-loop workflows. LangGraph Studio allows interactive modification of project config and graph code, with live sync to the interactive graph for easier iteration on long-running agents.

This repository contains the official Neo4j GenAI features for Python. The purpose of this package is to provide a first-party package to developers, where Neo4j can guarantee long-term commitment and maintenance as well as being fast to ship new features and high-performing patterns and methods.

The Neo4j GraphRAG package for Python is an official repository that provides features for creating and managing vector indexes in Neo4j databases. It aims to offer developers a reliable package with long-term commitment, maintenance, and fast feature updates. The package supports various Python versions and includes functionalities for creating vector indexes, populating them, and performing similarity searches. It also provides guidelines for installation, examples, and development processes such as installing dependencies, making changes, and running tests.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

Agents 2.0 is a framework for training language agents using symbolic learning, inspired by connectionist learning for neural nets. It implements main components of connectionist learning like back-propagation and gradient-based weight update in the context of agent training using language-based loss, gradients, and weights. The framework supports optimizing multi-agent systems and allows multiple agents to take actions in one node.

PR-Agent is a tool designed to assist in efficiently reviewing and handling pull requests by providing AI feedback and suggestions. It offers various tools such as Review, Describe, Improve, Ask, Update CHANGELOG, and more, with the ability to run them via different interfaces like CLI, PR Comments, or automatically triggering them when a new PR is opened. The tool supports multiple git platforms and models, emphasizing real-life practical usage and modular, customizable tools.

Cursor Agent History Tracking System is a simple tool to maintain context and track changes in conversations with Cursor when it's in AGENT mode. It ensures continuity even if the AI 'forgets' previous interactions. The system includes templates for starting chat sessions, tracking changes, and maintaining project status and goals. Users can modify the templates to suit their specific needs while following best practices for consistent formatting and documentation.

PR-Agent is a tool that helps to efficiently review and handle pull requests by providing AI feedbacks and suggestions. It supports various commands such as generating PR descriptions, providing code suggestions, answering questions about the PR, and updating the CHANGELOG.md file. PR-Agent can be used via CLI, GitHub Action, GitHub App, Docker, and supports multiple git providers and models. It emphasizes real-life practical usage, with each tool having a single GPT-4 call for quick and affordable responses. The PR Compression strategy enables effective handling of both short and long PRs, while the JSON prompting strategy allows for modular and customizable tools. PR-Agent Pro, the hosted version by CodiumAI, provides additional benefits such as full management, improved privacy, priority support, and extra features.

Kwaak is a tool that allows users to run a team of autonomous AI agents locally from their own machine. It enables users to write code, improve test coverage, update documentation, and enhance code quality while focusing on building innovative projects. Kwaak is designed to run multiple agents in parallel, interact with codebases, answer questions about code, find examples, write and execute code, create pull requests, and more. It is free and open-source, allowing users to bring their own API keys or models via Ollama. Kwaak is part of the bosun.ai project, aiming to be a platform for autonomous code improvement.

MD-Agent is a LLM-agent based toolset for Molecular Dynamics. It uses Langchain and a collection of tools to set up and execute molecular dynamics simulations, particularly in OpenMM. The tool assists in environment setup, installation, and usage by providing detailed steps. It also requires API keys for certain functionalities, such as OpenAI and paper-qa for literature searches. Contributions to the project are welcome, with a detailed Contributor's Guide available for interested individuals.

This repository contains a Rest-Backend for a Conversational Agent that allows embedding documents, semantic search, QA based on documents, and document processing with Large Language Models. It uses Aleph Alpha and OpenAI Large Language Models to generate responses to user queries, includes a vector database, and provides a REST API built with FastAPI. The project also features semantic search, secret management for API keys, installation instructions, and development guidelines for both backend and frontend components.

RAGEN is a reinforcement learning framework designed to train reasoning-capable large language model (LLM) agents in interactive, stochastic environments. It addresses challenges such as multi-turn interactions and stochastic environments through a Markov Decision Process (MDP) formulation, Reason-Interaction Chain Optimization (RICO) algorithm, and progressive reward normalization strategies. The framework consists of MDP formulation, RICO algorithm with rollout and update stages, and reward normalization strategies to stabilize training. RAGEN aims to optimize reasoning and action strategies for LLM agents operating in complex environments.

Helpful and persistent: I continuously update persistent state to capture a concise but complete specification of the entire conversation.

Friendly chatbot for pet onboarding in property management.

Performs a task

I provide sports updates in a casual, conversational style.

City-naming game with timer and updated rules

Advanced guide on Michigan no-fault law, with updated legal data.

Expert in college sports, providing stats, analysis, and updates on various teams.

Chat GPT di Catanzaro

Tracks real-time flights

A real estate assistant for scheduling home showings, knowledgeable in market trends.

Discover the revolutionary power of Chhatgpt, a platform that enables natural language conversations with advanced artificial intelligence. Engage in dialogue, ask questions, and receive intelligent responses to enhance your interactive communication experience.

I'm an Elon Musk-focused GPT.

A guide specialising in information on events taking place in Europe.

Hello I'm Case Finisher Assistant! What would you like help with today?

I provide sports schedules and game times based on your preferences.

A college football expert, discussing teams and championships.

A world exclusive to ARMYs that provides information and communication about BTS through AI for BTS fans.

A seamless guide to Dublin's best experiences

Professional car comparison and technical expert.

Lebanese assistant to answer kel shi about Lebanon, yalla ask!