Best AI tools for< Control Behavior >

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

PolygrAI is a digital polygraph powered by AI technology that provides real-time risk assessment and sentiment analysis. The platform meticulously analyzes facial micro-expressions, body language, vocal attributes, and linguistic cues to detect behavioral fluctuations and signs of deception. By combining well-established psychology practices with advanced AI and computer vision detection, PolygrAI offers users actionable insights for decision-making processes across various applications.

Wing Security is a SaaS Security Posture Management (SSPM) solution that helps businesses protect their data by providing full visibility and control over applications, users, and data. The platform offers features such as automated remediation, AI discovery, real-time SaaS visibility, vendor risk management, insider risk management, and more. Wing Security enables organizations to eliminate risky applications, manage user behavior, and protect sensitive data from unauthorized access. With a focus on security first, Wing Security helps businesses leverage the benefits of SaaS while staying protected.

letsqu.it is an AI companion application designed to help individuals quit various habits such as alcohol, smoking, gaming, and more. The application utilizes empathetic conversations, cognitive behavioral techniques, motivational interviewing, and hypnosis-inspired methods to assist users in navigating their emotions and thoughts towards positive behavioral changes.

WethosAI is an interpersonal productivity platform that leverages AI and behavioral science to optimize individual and team performance. By providing tailored insights and recommendations based on individual work styles, the platform helps improve team alignment, productivity, and decision-making. WethosAI aims to empower users to reach their highest potential through self-awareness and perceptiveness at the speed of instinct.

The Decision Lab is an AI-powered platform that applies behavioral science to create transformational change for individuals, products, and organizations. Using machine learning and AI, the platform delivers hyper-personalization, designs people-centered products and services, and leverages behavioral science to achieve operational excellence. The platform helps in understanding consumer decision-making, generating positive behaviors, and building world-class digital products with behavioral science. It fosters holistic wellness, unlocks product potential, and empowers individuals to take control of their finances. The Decision Lab offers insights and interventions to help organizations make better decisions and create meaningful impact through evidence-based choice.

OneAI's GPT Agent is a website enhancement tool that utilizes AI technology to transform a website into a proactive GPT agent, boosting engagement and sales. It empowers businesses to customize their agent, set goals and behaviors, and gain insights into user queries through powerful analytics. The agent is designed to guide users proactively, providing personalized responses based on the website's content and built-in fact-checking capabilities. It enables businesses to collect hot leads, understand customer interactions, and refine their offerings. With its ease of use, brands can effortlessly craft their AI, ensuring alignment with their brand voice and style. The GPT Agent is particularly valuable for eCommerce, SaaS companies, and enterprises, helping them convert website visitors into loyal buyers, qualified leads, and high-value prospects.

Rozie AI is an AI partner that helps create personalized experiences at scale for leading brands. The platform offers a middleware solution, agentic AI capabilities, and pre-built experience kits to manage the entire process from ideation to implementation. Rozie AI specializes in experience design, digital engagement, and applying artificial intelligence to future-proof product experiences. The company empowers clients to own their experiences while off-loading the tech stack maintenance. With customizable solutions, Rozie AI delivers speed, scalability, and control for innovative CX solutions.

AIPrice is an AI tool that offers AI-optimized pricing solutions for websites. It analyzes visitors' behavior to provide customized offers based on their buying interest, helping to convert undecided visitors into happy paid customers. AIPrice is simple to use, practical, efficient, and risk-free with a 45-day free trial. It works platform-independently and allows users to control their offers and promotions. The tool ensures the right offer reaches the right user, enhancing conversion rates and revenue. AIPrice is affordable for businesses of all sizes, offering different pricing plans based on monthly visits.

Polymath Robotics is a company that offers autonomous navigation solutions for industrial vehicles. Their technology allows for the easy integration of autonomous navigation systems into various types of industrial vehicles, such as agricultural vehicles, mining equipment, and forestry equipment. By using Polymath's system, users can focus on developing meaningful tasks for their vehicles while skipping the manual labor of pedal-pushing. The company prides itself on providing a vehicle-agnostic and compute-agnostic solution that is compatible with most sensors and can be controlled via API. Polymath Robotics aims to simplify the process of adding autonomy to industrial vehicles, enabling users to build behaviors in their preferred coding language without the need for complex frameworks like ROS.

Portkey is a control panel for production AI applications that offers an AI Gateway, Prompts, Guardrails, and Observability Suite. It enables teams to ship reliable, cost-efficient, and fast apps by providing tools for prompt engineering, enforcing reliable LLM behavior, integrating with major agent frameworks, and building AI agents with access to real-world tools. Portkey also offers seamless AI integrations for smarter decisions, with features like managed hosting, smart caching, and edge compute layers to optimize app performance.

Traceable is an AI-driven application designed to enhance API security for Cloud-Native Apps. It collects API traffic across the application landscape and utilizes advanced context-based behavioral analytics AI engine to provide insights on APIs, data exposure, threat analytics, and forensics. The platform offers features for API cataloging, activity monitoring, endpoint details, ownership, vulnerabilities, protection against security events, testing, analytics, and more. Traceable also allows for role-based access control, policy configuration, data classification, and integration with third-party solutions for data collection and security. It is a comprehensive tool for API security and threat detection in modern cloud environments.

Responsible AI Licenses (RAIL) is an initiative that empowers developers to restrict the use of their AI technology to prevent irresponsible and harmful applications. They provide licenses with behavioral-use clauses to control specific use-cases and prevent misuse of AI artifacts. The organization aims to standardize RAIL Licenses, develop collaboration tools, and educate developers on responsible AI practices.

Nektar is an AI-driven GTM automation platform that offers comprehensive control over customer data synchronization, including contacts, opportunity contact roles, GTM activities, and activity insights. It helps in matching sales processes and security needs efficiently. Trusted by high-performing global revenue teams, Nektar enables users to build more pipeline, win deals faster, and renew and expand customers. The platform leverages AI to transform buyer data at scale, providing visibility into buying groups, meeting quality, and contact roles. Nektar is designed to enhance customer success journeys, drive better renewal outcomes, and improve pipeline inspection using high-quality engagement data.

Polymer DSPM is an AI-driven Data Security Posture Management platform that offers Data Loss Prevention (DLP) and Breach Prevention solutions. It provides real-time data visibility, adaptive controls, and automated remediation to prevent data breaches. The platform empowers users to actively manage human-based risks and fosters enterprise-wide behavior change through real-time nudges and risk scoring. Polymer helps organizations secure their data in the age of AI by guiding employees in real-time to prevent accidental sharing of confidential information. It integrates with popular chat, file storage, and GenAI tools to protect sensitive data and reduce noise and data exposure. The platform leverages AI to contextualize risk, trigger security workflows, and actively nudge employees to reduce risky behavior over time.

Glassbox is a customer intelligence platform that provides deep insights into digital interactions to help businesses convert customers into superfans. It captures 100% of interactions and technical events on websites or mobile apps, offering contextual insights and real-time AI-prioritized optimization to enhance customer experiences. With features like tagless data capture, AI-powered insights, and multi-layered privacy controls, Glassbox empowers teams to design better digital experiences, remedy technical issues, and put customer-centricity into practice. The platform is used across various industries like financial services, insurance, retail, and telecom, by teams focusing on marketing, product, customer experience, data analytics, engineering, and customer service.

Control Audits is an AI-powered platform that helps organizations comply with AI & Cyber Security standards. It provides a comprehensive solution for AI and Cyber Security Governance, Risk, and Compliance, offering features such as single pane view, teamwork integration, effortless implementation, seamless task management, and more. The platform is designed to simplify the implementation and compliance process, ensuring that organizations meet standards like ISO 42001, NIST AI RMF, ISO 27001, and others. Control Audits aims to make AI and Cyber Security management efficient and effective for businesses of all sizes.

FamiSafe is a parental control app that helps parents keep their children safe online. It offers a variety of features, including screen time limits, app blocking, location tracking, and web filtering. FamiSafe also uses AI to detect inappropriate content and block it from children's devices.

Aporia is an AI control platform that provides real-time guardrails and security for AI applications. It offers features such as hallucination mitigation, prompt injection prevention, data leakage prevention, and more. Aporia helps businesses control and mitigate risks associated with AI, ensuring the safe and responsible use of AI technology.

Robovision is a central platform to manage vision intelligence inside smart machines. Successfully introduce AI in dynamic environments without the need for AI experts.

MindWork AI Studio is a desktop application that provides a unified chat interface for Large Language Models (LLMs). It is free to use for personal and commercial purposes, offers independence in choosing LLM providers, provides unrestricted usage through the providers API, and is cost-effective with pay-as-you-go pricing. The app prioritizes privacy, flexibility, minimal storage and memory usage, and low impact on system resources. Users can support the project through monthly contributions or one-time donations, with opportunities for companies to sponsor the project for public relations and marketing benefits. Planned features include support for more LLM providers, system prompts integration, text replacement for privacy, and advanced interactions tailored for various use cases.

SillyTavern MultiPlayer (STMP) is an LLM chat interface that enables multiple users to chat with an AI. It features a sidebar chat for users, tools for the Host to manage the AI's behavior and moderate users. Users can change display names, chat in different windows, and the Host can control AI settings. STMP supports Text Completions, Chat Completions, and HordeAI. Users can add/edit APIs, manage past chats, view user lists, and control delays. Hosts have access to various controls, including AI configuration, adding presets, and managing characters. Planned features include smarter retry logic, host controls enhancements, and quality of life improvements like user list fading and highlighting exact usernames in AI responses.

TapeAgents is a framework that leverages a structured, replayable log of the agent session to facilitate all stages of the LLM Agent development lifecycle. The agent reasons by processing the tape and the LLM output to produce new thoughts, actions, control flow steps, and append them to the tape. Key features include building agents as low-level state machines or high-level multi-agent team configurations, debugging agents with TapeAgent studio or TapeBrowser apps, serving agents with response streaming, and optimizing agent configurations using successful tapes. The Tape-centric design of TapeAgents provides ultimate flexibility in project development, allowing access to tapes for making prompts, generating next steps, and controlling agent behavior.

Wingman AI allows you to use your voice to talk to various AI providers and LLMs, process your conversations, and ultimately trigger actions such as pressing buttons or reading answers. Our _Wingmen_ are like characters and your interface to this world, and you can easily control their behavior and characteristics, even if you're not a developer. AI is complex and it scares people. It's also **not just ChatGPT**. We want to make it as easy as possible for you to get started. That's what _Wingman AI_ is all about. It's a **framework** that allows you to build your own Wingmen and use them in your games and programs. The idea is simple, but the possibilities are endless. For example, you could: * **Role play** with an AI while playing for more immersion. Have air traffic control (ATC) in _Star Citizen_ or _Flight Simulator_. Talk to Shadowheart in Baldur's Gate 3 and have her respond in her own (cloned) voice. * Get live data such as trade information, build guides, or wiki content and have it read to you in-game by a _character_ and voice you control. * Execute keystrokes in games/applications and create complex macros. Trigger them in natural conversations with **no need for exact phrases.** The AI understands the context of your dialog and is quite _smart_ in recognizing your intent. Say _"It's raining! I can't see a thing!"_ and have it trigger a command you simply named _WipeVisors_. * Automate tasks on your computer * improve accessibility * ... and much more

RAG with txtai is a Retrieval Augmented Generation (RAG) Streamlit application that helps generate factually correct content by limiting the context in which a Large Language Model (LLM) can generate answers. It supports two categories of RAG: Vector RAG, where context is supplied via a vector search query, and Graph RAG, where context is supplied via a graph path traversal query. The application allows users to run queries, add data to the index, and configure various parameters to control its behavior.

HybridAGI is the first Programmable LLM-based Autonomous Agent that lets you program its behavior using a **graph-based prompt programming** approach. This state-of-the-art feature allows the AGI to efficiently use any tool while controlling the long-term behavior of the agent. Become the _first Prompt Programmers in history_ ; be a part of the AI revolution one node at a time! **Disclaimer: We are currently in the process of upgrading the codebase to integrate DSPy**

LMQL is a programming language designed for large language models (LLMs) that offers a unique way of integrating traditional programming with LLM interaction. It allows users to write programs that combine algorithmic logic with LLM calls, enabling model reasoning capabilities within the context of the program. LMQL provides features such as Python syntax integration, rich control-flow options, advanced decoding techniques, powerful constraints via logit masking, runtime optimization, sync and async API support, multi-model compatibility, and extensive applications like JSON decoding and interactive chat interfaces. The tool also offers library integration, flexible tooling, and output streaming options for easy model output handling.

This repository contains the official codebase for Bittensor Subnet 1 (SN1) v1.0.0+, released on 22nd January 2024. It defines an incentive mechanism to create a distributed conversational AI for Subnet 1. Validators and miners are based on large language models (LLM) using internet-scale datasets and goal-driven behavior to drive human-like conversations. The repository requires python3.9 or higher and provides compute requirements for running validators and miners. Users can run miners or validators using specific commands and are encouraged to run on the testnet before deploying on the main network. The repository also highlights limitations and provides resources for understanding the architecture and methodology of SN1.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

gpt-cli is a command-line interface tool for interacting with various chat language models like ChatGPT, Claude, and others. It supports model customization, usage tracking, keyboard shortcuts, multi-line input, markdown support, predefined messages, and multiple assistants. Users can easily switch between different assistants, define custom assistants, and configure model parameters and API keys in a YAML file for easy customization and management.

Reader is a tool that converts any URL to an LLM-friendly input with a simple prefix `https://r.jina.ai/`. It improves the output for your agent and RAG systems at no cost. Reader supports image reading, captioning all images at the specified URL and adding `Image [idx]: [caption]` as an alt tag. This enables downstream LLMs to interact with the images in reasoning, summarizing, etc. Reader offers a streaming mode, useful when the standard mode provides an incomplete result. In streaming mode, Reader waits a bit longer until the page is fully rendered, providing more complete information. Reader also supports a JSON mode, which contains three fields: `url`, `title`, and `content`. Reader is backed by Jina AI and licensed under Apache-2.0.

Hercules is the world’s first open-source testing agent designed to handle the toughest testing tasks for modern web applications. It turns simple Gherkin steps into fully automated end-to-end tests, making testing simple, reliable, and efficient. Hercules adapts to various platforms like Salesforce and is suitable for CI/CD pipelines. It aims to democratize and disrupt test automation, making top-tier testing accessible to everyone. The tool is transparent, reliable, and community-driven, empowering teams to deliver better software. Hercules offers multiple ways to get started, including using PyPI package, Docker, or building and running from source code. It supports various AI models, provides detailed installation and usage instructions, and integrates with Nuclei for security testing and WCAG for accessibility testing. The tool is production-ready, open core, and open source, with plans for enhanced LLM support, advanced tooling, improved DOM distillation, community contributions, extensive documentation, and a bounty program.

Open WebUI Tools Collection is a set of tools for structured planning, arXiv paper search, Hugging Face text-to-image generation, prompt enhancement, and multi-model conversations. It enhances LLM interactions with academic research, image generation, and conversation management. Tools include arXiv Search Tool and Hugging Face Image Generator. Function Pipes like Planner Agent offer autonomous plan generation and execution. Filters like Prompt Enhancer improve prompt quality. Installation and configuration instructions are provided for each tool and pipe.

LangServe helps developers deploy `LangChain` runnables and chains as a REST API. This library is integrated with FastAPI and uses pydantic for data validation. In addition, it provides a client that can be used to call into runnables deployed on a server. A JavaScript client is available in LangChain.js.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

CurateGPT is a prototype web application and framework for performing general purpose AI-guided curation and curation-related operations over collections of objects. It allows users to load JSON, YAML, or CSV data, build vector database indexes for ontologies, and interact with various data sources like GitHub, Google Drives, Google Sheets, and more. The tool supports ontology curation, knowledge base querying, term autocompletion, and all-by-all comparisons for objects in a collection.

The `vectara-agentic` Python library is designed for developing powerful AI assistants using Vectara and Agentic-RAG. It supports various agent types, includes pre-built tools for domains like finance and legal, and enables easy creation of custom AI assistants and agents. The library provides tools for summarizing text, rephrasing text, legal tasks like summarizing legal text and critiquing as a judge, financial tasks like analyzing balance sheets and income statements, and database tools for inspecting and querying databases. It also supports observability via LlamaIndex and Arize Phoenix integration.

LangChain Decorators is a layer on top of LangChain that provides syntactic sugar for writing custom langchain prompts and chains. It offers a more pythonic way of writing code, multiline prompts without breaking code flow, IDE support for hinting and type checking, leveraging LangChain ecosystem, support for optional parameters, and sharing parameters between prompts. It simplifies streaming, automatic LLM selection, defining custom settings, debugging, and passing memory, callback, stop, etc. It also provides functions provider, dynamic function schemas, binding prompts to objects, defining custom settings, and debugging options. The project aims to enhance the LangChain library by making it easier to use and more efficient for writing custom prompts and chains.

Hurley AI is a next-gen framework for developing intelligent agents through Retrieval-Augmented Generation. It enables easy creation of custom AI assistants and agents, supports various agent types, and includes pre-built tools for domains like finance and legal. Hurley AI integrates with LLM inference services and provides observability with Arize Phoenix. Users can create Hurley RAG tools with a single line of code and customize agents with specific instructions. The tool also offers various helper functions to connect with Hurley RAG and search tools, along with pre-built tools for tasks like summarizing text, rephrasing text, understanding memecoins, and querying databases.

CurateGPT is a prototype web application and framework designed for general purpose AI-guided curation and curation-related operations over collections of objects. It provides functionalities for loading example data, building indexes, interacting with knowledge bases, and performing tasks such as chatting with a knowledge base, querying Pubmed, interacting with a GitHub issue tracker, term autocompletion, and all-by-all comparisons. The tool is built to work best with the OpenAI gpt-4 model and OpenAI ada-text-embedding-002 for embedding, but also supports alternative models through a plugin architecture.

Friendly spider ID assistant with straightforward info

I specialize in cold atom control systems.

Optimizes control systems to enhance operational efficiency.

Text & Image Pest Identifier with Q&A

Manages project expenses to optimize financial efficiency.

Your AI bridge to the Internet of Things! Easily connect, control, and automate your smart devices with voice or text commands. 🏠💎

Expert in pest control advice, providing safe and practical solutions.

Expert in robotics control, AI integration, and current trends

a guide to chaos and control in a world gone mad

Guides budget planning and control within projects.

Take back control of Chatty4

A specialized AI for optimizing traffic control, predicting bottlenecks, and improving road safety.

Meal planner with 1)Calories Control 2)Family/Personal Plan 3)Nutritional Summaries 4)Shopping Lists

A mentor for those with struggling with control over their substance use, offering guidance, resources, and support for sobriety. In case of relapse, it provides practical steps and resources, including web links, phone numbers, and emails.

Provides financial oversight and project cost control support.

Explore any topic with an advanced hierarchical interactive mapping with streamlined control. Begin with !start [topic].

Discover if your group, relationship or organization uses specific methods to recruit and maintain control over people

An expert on fleas and ticks, providing detailed prevention and control advice.

An informative guide on invasive species, their impact, and control methods.

An expert in acoustics, providing advice on sound management and noise control.