Building infrastructure components, tools, frameworks and models to enable opensource AGI
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RicAI Autonomous Testing Agent
An Autonomous AI Agent for software testing that understands (complex) software requirements and business logic, generates test cases & provides feedback and test reports. View here.HR-Helper.ai
HR-Helper reduces the time wasted on resume screening, It uses SuperAGI APIs to do the initial screening including basic background checks (scraping GitHub data of a user). View here.SIMBAD - Microtargeting Solution
Microtargeting Solution to develop a comprehensive microtargeting solution that leverages data-driven insights to create precise and high-converting ad campaigns. View here.Tactical AI
A project to run a low-cost simultaneous series of agents that interact with the same environmental conditions and collaborate on the same output documents. View here.Exponential workflows with STS
Strategic Thinking Systems enable dynamic and real-time collaboration between multiple humans and multiple autonomous agents. View here.Remote Patriot
An app that sources disabled veterans with the creation of personalized agents for each job seeker, revolutionizing the way veterans find and secure remote work. View here.Agent Speak ToolKit
The project leverages Agent Speak to create semantically rich communication channels between agents, leveraging Belief-Desire-Intention models to facilitate complex negotiations and decision-making processes within autonomous systems View here.Web Summarizer Agent
An innovative tool that automates the process of summarizing web content by combining advanced web scraping, powerful AI summarization, and seamless email delivery to provide concise and informative summaries of webpages, directly to your inbox. View here.SuperAGI No-Code
SuperAGI No-Code allows businesses to dictate how autonomous agents should behave based on their business processes. The Zapier integration lets business people create much greater value in a much shorter payback period.FlowFacts AI - Deep research agent
The agent conducts deep research, takes notes, and generates a research document summarizing a given claim. It follows a specific workflow, starting with the user providing a claim and supporting information. View here.The Green Bean
The Green Bean aims to provide intelligent and useful information on how sustainability regulations impact your specific business. View here.Application AI for Students
An app that streamlines and enhances the student application process. It guides students in writing effective and personalized applications & provides real-time feedback for improvement.
Document Processing and OCR
Autonomous agents can revolutionize document processing and Optical Character Recognition (OCR) tasks. These agents can automatically scan, read, and extract data from various types of documents like invoices, contracts, and forms. They can understand the context, classify documents, and input data into relevant systems. This eliminates manual data entry errors, reduces processing time, and enhances data management efficiency.Internal Employee Service Desk
Autonomous agents can be deployed as virtual assistants to provide internal support for employees. They can answer common queries about policies, procedures, or technical issues, and guide employees through resolution steps. They can also schedule meetings, manage calendars, or assist with other administrative tasks, helping to improve overall employee productivity and satisfaction.Insurance Underwriting
Autonomous agents can transform insurance underwriting by automating risk assessment and pricing. They can analyze a multitude of data points like medical records, financial data, and geographical data to assess risks and determine premiums. The autonomous nature of these agents ensures consistent underwriting decisions and can greatly reduce processing time.Drug Discovery Optimization
In the pharmaceutical industry, autonomous agents can assist in optimizing the drug discovery process. These agents can analyze vast amounts of biomedical data, including genomic data, medical literature, and clinical trials data to identify potential drug targets and predict drug effectiveness. This can significantly reduce the time and cost associated with drug discovery and development, leading to quicker market introductions.Customer Support / Experience (CX)
Autonomous agents in customer support or CX provide immediate responses to customer queries and issues, contributing to better overall customer experience. These agents can efficiently handle high volumes of inquiries, offer solutions, provide product information, and guide customers through processes. They can also learn from previous interactions, making their responses more personalized and relevant, leading to higher customer satisfaction and loyalty.Software Application Development
Autonomous agents can aid in software development by automating various aspects of the development process. This includes code generation, testing, and debugging. They can analyze code to find errors, suggest improvements, or even write code snippets. By automating these repetitive and time-consuming tasks, developers can focus more on creative and complex aspects of software development.Fraud Detection
In the financial sector and others, autonomous agents can be used to detect fraudulent activities. They can analyze vast amounts of transaction data in real-time to identify patterns that signify potential fraud. These agents can also learn from past incidents, improving their detection capabilities over time. This leads to quicker responses to fraud and reduces financial and reputational damage.Cybersecurity
Autonomous agents can play a pivotal role in cybersecurity by proactively detecting, preventing, and responding to threats. They can monitor network traffic for unusual activity, identify vulnerabilities in systems, and react to threats faster than human counterparts. Some advanced agents can even predict future attacks based on patterns and trends, thereby enhancing an organization’s cybersecurity posture.Autonomous Customer Engagement
Autonomous agents can revolutionize customer service by providing round-the-clock support. These agents can answer customer inquiries instantly, guide them through complex processes, and resolve issues promptly. They can be programmed to learn from past interactions, allowing them to provide more personalized and accurate responses over time. This not only improves customer satisfaction but also reduces the burden on human customer service representatives.Robotic Process Automation (RPA)
Autonomous agents can automate repetitive, rule-based tasks, thereby freeing up human resources for more complex tasks. In the context of RPA, these agents can read and interpret data from various sources, manipulate data, trigger responses, and communicate with other digital systems. They can perform tasks such as data entry, invoice processing, or payroll automation, which can significantly improve operational efficiency and accuracy.Sales Engagement
Autonomous agents in sales engagement act as tireless, 24/7 sales representatives. They can interact with potential customers, understand their needs through natural language processing, and recommend appropriate products or services. They can also handle initial inquiries, schedule meetings, and follow up with prospects, thereby increasing efficiency and sales productivity. Additionally, these agents can gather and analyze data from interactions to provide valuable insights into customer behavior and preferences.Understanding Knowledge Embeddings in SuperAGI
Introduction to Agent Summary – Improving Agent Output by Using LTS & STM
Building Autonomous Business Processes using AI Agent Workflows
Processing Structured & Unstructured Data with SuperAGI and LlamaIndex
Understanding dedicated & shared tool memory in SuperAGI
AACP (Agent to Agent Communication Protocol)
Agent Instructions: Autonomous AI Agent Trajectory Fine-Tuning