Abacus.AI is a comprehensive AI platform designed to assist organizations in developing, deploying, and managing machine learning models and AI applications. It provides a suite of tools that enable users to create custom AI solutions tailored to various business needs, including forecasting, personalization, anomaly detection, and more. The platform supports integration with multiple data sources and offers real-time monitoring and model management capabilities. Abacus.AI aims to democratize AI by making it accessible and efficient for businesses of all sizes.

abacus-ai

An AI platform offering advanced tools for building, deploying, and managing machine learning models and AI applications.

Abacus AI

AgentAuth is a developer-focused authentication layer designed to empower AI agents with secure, seamless access to over 250 popular applications. Tailored for AI agents, it simplifies the complexities of authentication by supporting OAuth 2.0, API keys, JWT, and more. With built-in support for leading agentic frameworks like LangChain, CrewAI, and LlamaIndex, AgentAuth ensures that AI agents can interact with tools such as Gmail, Slack, Salesforce, and Google Calendar without manual integration overhead. Its unified dashboard offers complete visibility into user-connected accounts, facilitating efficient monitoring and issue resolution. By handling the intricacies of authentication, AgentAuth allows developers to focus on building innovative, user-centric AI solutions.

agentauth

Authentication layer enabling AI agents to securely access 250+ apps on users' behalf.

AgentAuth

Amazon Bedrock AgentCore is a modular suite of AWS services providing secure, scalable deployment and operations for AI agents. It offers Runtime for serverless agent execution with session isolation and long-running support, Memory for context-aware agents, Identity for secure access, Gateway to convert APIs into agent-ready tools, Browser for managed web automation, Code Interpreter for sandboxed code execution, and Observability for tracing and debugging workflows. AgentCore supports any open-source framework and any foundation model, inside or outside Bedrock, enabling developers to accelerate agents into production with enterprise-grade flexibility, security, and monitoring.

amazon-bedrock-agentcore

Modular AWS platform for deploying, enhancing, and monitoring AI agents securely at scale.

Amazon Bedrock AgentCore

Claude is an AI assistant developed by Anthropic, designed to handle complex tasks while prioritizing safety and reliability. Beyond drafting emails and providing detailed explanations, Claude's 'computer use' feature enables it to interact directly with computer interfaces—moving cursors, clicking buttons, and typing text—allowing it to perform tasks such as web searches, form completions, and other desktop operations. This capability is currently in public beta and continues to evolve.

anthropic-s-claude-computer-use

An AI assistant capable of performing complex tasks, including direct computer interactions, with a focus on safety and reliability.

Anthropic's Claude Computer use

Ascendo AI is an Agentic AI Platform designed to revolutionize technical support and field service operations. By leveraging advanced AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML), Ascendo AI enables organizations to provide consistent, high-quality customer support. The platform offers a suite of products such as Enhanced Self-Service, Augmented Agent, and Voice of the Customer, which collectively empower support teams to resolve complex issues efficiently. Ascendo AI integrates seamlessly with existing CRM systems and utilizes historical data to deliver faster responses and accurate issue resolutions, ultimately enhancing customer satisfaction and driving revenue growth.

ascendo-ai

An AI platform transforming technical support with generative AI, enabling self-service and Voice of the Customer insights.

Ascendo AI

Claude Code is an agentic coding tool developed by Anthropic, designed to assist developers by integrating seamlessly into their terminal environment. It understands codebases and aids in writing, testing, and debugging code through natural language commands. With features like 'extended thinking mode' for complex problem-solving and a 'scratchpad' that reveals its reasoning process, Claude Code enhances coding efficiency and accuracy. It supports various programming languages and is available via the Claude app, Anthropic's API, Amazon Bedrock, and Google's Vertex AI.

claude-code

An AI-powered coding assistant that collaborates directly from your terminal.

Claude Code

Claude MCP Agents are AI-driven entities developed by Anthropic, leveraging the Model Context Protocol (MCP) to facilitate seamless integration with diverse data sources and applications. MCP serves as an open standard, enabling AI systems to connect efficiently with external APIs, tools, and live data, thereby enhancing their functionality and contextual awareness. By utilizing MCP, Claude agents can perform tasks such as retrieving information, executing workflows, and interacting with various platforms, all while maintaining a cohesive understanding of the context. This integration simplifies the development process, allowing for rapid deployment of AI capabilities across multiple domains.

claude-mcp-agents

AI agents utilizing Anthropic's Model Context Protocol to integrate seamlessly with various data sources and tools.

Claude MCP Agents

Devin, created by Cognition, is an AI software engineer designed to autonomously handle various software development tasks. It can plan, code, debug, and test applications without human intervention, streamlining the development process and enhancing team productivity. Devin integrates with existing development workflows, allowing engineers to focus on more complex and creative aspects of projects. Its capabilities include training and fine-tuning AI models, addressing bugs and feature requests in open-source repositories, and contributing to mature production codebases.

cognition-devin-ai

An AI software engineer developed by Cognition, capable of autonomously performing complex coding tasks.

Cognition Devin AI

Composio is a developer-focused platform that empowers teams to build AI agents and apps that can natively integrate with over 140 SaaS tools through unified APIs. It offers tools to streamline workflows, manage authentication, and securely execute actions across third-party services without building separate integrations. Composio supports a variety of AI agent use cases such as customer onboarding, marketing automations, support triage, and more, enabling fast, scalable integration building directly within AI products or autonomous agents.

composio

Composio is a developer platform for building AI agents with native access to over 140 SaaS integrations and APIs.

Composio

Convergence Proxy is an AI-driven virtual assistant developed by Convergence AI, designed to acquire new skills, take actions, and enhance its performance during real-time use. It leverages Large Meta Learning Models (LMLMs) to provide reliable and autonomous assistance across various tasks. Proxy has demonstrated superior performance in top agent benchmarks, outperforming solutions from OpenAI and Anthropic. The platform also offers a Template Hub, providing ready-to-run Proxy templates created by Convergence and its user community, facilitating ease of deployment and customization.

convergence-proxy

An AI-driven virtual assistant capable of acquiring new skills and improving through real-time use.

Convergence Proxy

CoTester by TestGrid is the world’s first AI software testing agent, pre-trained on software testing fundamentals and SDLC. It helps QA teams generate, debug, and execute test cases—manual or automated—via natural-language prompts. CoTester integrates with multiple frameworks like Selenium, Cypress, Appium, and runs tests on real browsers and mobile devices via TestGrid’s cloud infrastructure.

cotester

An AI-powered testing agent pre-trained on software testing fundamentals to accelerate test case creation and execution.

CoTester

DeepSeek R1 is an open-source large language model (LLM) developed by the Chinese AI company DeepSeek. It is designed to excel in reasoning, math, coding, and problem-solving tasks. Released under the MIT license, it allows free access, modification, and commercialization, fostering collaboration and innovation. DeepSeek R1 has achieved remarkable benchmarks such as 97.3% on MATH-500 and 96.3% percentile on Codeforces, showcasing near-human performance in programming and logic-heavy tasks. Its unique training approach combines reinforcement learning (RL) and supervised fine-tuning (SFT), enabling it to learn autonomously while being cost-effective. DeepSeek R1 is a game-changer in democratizing AI development by making cutting-edge technology accessible to researchers, developers, and businesses worldwide.

deepseek-r1

An open-source large language model excelling in reasoning, math, and coding tasks with MIT licensing for free use and modification.

AI Agents with Jira Integration