All Agents — Showing 24 of 1138

• Portia AI

  AI Agent Development Platforms

  Build AI agents that are predictable, controllable, and authenticated using Portia AI's comprehensive platform.

  Portia AI provides a platform for developing AI agents with a focus on predictability, control, and authentication. It offers an open-source SDK that enables developers to generate explicit plans, manage execution states, authenticate users into tools, and direct language models…

  Use cases: AI developers, software engineers, automation specialists, security professionals

  Capabilities: Developing AI agents with explicit planning and execution capabilities., Ensuring secure and authenticated access to tools during agent operations., Integrating human input seamlessly into AI agent workflows., Utilizing a ready-made tool catalog for rapid AI agent deployment.

• AI Refinery

  AI Agent Development Platforms

  An AI platform by Accenture that transforms raw AI technologies into scalable business solutions.

  AI Refinery is an AI platform developed by Accenture, built on NVIDIA AI Enterprise, designed to help companies convert raw AI technologies into practical, scalable business solutions. It enables organizations to connect siloed AI technologies, build and adapt AI agent teams with…

  Use cases: business executives, AI developers, IT managers, data scientists

  Capabilities: Transforming raw AI technologies into scalable business solutions., Building and customizing AI agent teams without coding., Managing AI components with attention to cost, accuracy, and security., Accelerating value realization through prebuilt process knowledge and industry expertise.

• Smithery

  AI Agent Development Platforms

  A platform assisting developers in discovering and deploying agentic services adhering to the Model Context Protocol (MCP).

  Smithery is a comprehensive platform designed to help developers find and deploy agentic services that comply with the Model Context Protocol (MCP). It serves as a centralized hub for discovering MCP servers, offering hosting and distribution services, and providing standardized…

  Use cases: AI developers, software engineers, data scientists, machine learning engineers

  Capabilities: Discovering and deploying MCP-compliant agentic services., Integrating language model agents with external tools and data sources., Standardizing tool configurations and interfaces for AI applications., Hosting and distributing MCP servers for broader accessibility.

• MCP.so

  AI Agent Development Platforms

  A community-driven platform collecting and organizing third-party MCP Servers for AI applications.

  MCP.so is a community-driven platform that collects and organizes third-party Model Context Protocol (MCP) Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications. The platform aims to facilitate…

  Use cases: AI developers, software engineers, data scientists, machine learning engineers

  Capabilities: Discovering and integrating various MCP Servers to enhance AI assistant capabilities., Sharing and learning about third-party MCP Servers for AI applications., Centralizing access to tools and services that connect AI models with external data sources.

• Bubble.io

  AI Agent Development Platforms

  A no-code platform enabling users to design, develop, and deploy web applications without coding.

  Bubble.io is a comprehensive no-code platform that empowers individuals and businesses to create fully functional web applications without writing code. It offers a visual interface for designing user interfaces, managing databases, and implementing workflows. Bubble.io supports…

  Use cases: entrepreneurs, startups, product managers, designers, developers

  Capabilities: Developing web applications without coding knowledge., Integrating AI functionalities into applications using no-code tools., Rapid prototyping and deployment of web apps., Connecting to AI models via APIs for enhanced app capabilities.

• LandingLens

  AI Agent Development Platforms

  A deep-learning vision software platform that simplifies building and deploying computer vision AI projects.

  LandingLens is a deep-learning vision software platform developed by Landing AI, designed to simplify the creation, testing, and deployment of computer vision AI projects. It offers an intuitive interface that allows users to build AI models without requiring complex programming…

  Use cases: manufacturing engineers, quality assurance professionals, data scientists, AI developers, operations managers

  Capabilities: Rapidly prototyping and deploying AI-powered visual intelligence solutions., Enhancing accuracy and efficiency in various industries through advanced computer vision tools., Training AI models on custom data to address specific visual inspection and analysis needs., Streamlining processes that require visual data interpretation, such as quality control and defect detection.

• Botpress

  AI Agent Development Platforms

  An all-in-one platform for building AI agents powered by the latest LLMs.

  Botpress is a comprehensive platform designed to facilitate the development, deployment, and monitoring of AI agents. Leveraging the latest large language models (LLMs), Botpress enables users to create intelligent agents capable of natural and engaging conversations. The platfor…

  Use cases: AI developers, software engineers, business analysts, customer support managers, marketing professionals

  Capabilities: Developing custom AI agents for customer support, sales, and marketing., Integrating AI capabilities into existing business workflows., Automating complex processes and enhancing user engagement., Building AI agents with advanced natural language understanding.

• Ceramic.ai

  AI Agent Development Platforms

  An AI infrastructure platform optimizing large-scale model training with enhanced efficiency and scalability.

  Ceramic.ai is an enterprise-grade AI infrastructure platform designed to optimize the training and deployment of large language models (LLMs). Founded by Anna Patterson, a former Google VP of Engineering, Ceramic.ai addresses challenges in AI model training by offering faster and…

  Use cases: AI researchers, machine learning engineers, data scientists, enterprise IT professionals

  Capabilities: Accelerating the training of large language models with reduced computational costs., Implementing long-context training for enhanced model performance., Optimizing AI infrastructure to improve scalability and efficiency., Enabling enterprises to develop and deploy AI models more effectively.

• Natoma MCP Platform

  AI Agent Development Platforms

  A hosted platform for integrating AI agents with tools and data via managed Model Context Protocol servers.

  Natoma MCP Platform is a hosted solution that simplifies the integration of AI agents with enterprise tools and data sources using the Model Context Protocol (MCP). It offers one-click deployment of over 100 prebuilt MCP servers, enabling secure and scalable connections between l…

  Use cases: AI engineers, software developers, IT administrators, data scientists, enterprise architects

  Capabilities: Connecting AI agents to enterprise tools and data sources with minimal configuration., Deploying agentic AI solutions at scale using prebuilt MCP servers., Ensuring secure and auditable interactions between AI agents and applications., Managing access controls and monitoring AI agent behaviors in real-time.

• Synergetics AI

  AI Agent Development Platforms

  A decentralized platform enabling secure AI agent creation, communication, and monetization across digital ecosystems.

  Synergetics AI is a decentralized platform that facilitates the creation, deployment, and monetization of autonomous AI agents. It offers a suite of tools, including AgentWorks, which encompasses components like AgentTalk for secure agent-to-agent communication, AgentWallet for d…

  Use cases: AI developers, blockchain engineers, digital asset managers, automation specialists, enterprise architects

  Capabilities: Developing and deploying autonomous AI agents for various industries., Facilitating secure communication between AI agents across platforms., Managing digital assets and transactions for AI agents., Trading and monetizing AI agents through a decentralized marketplace.

• Chai

  AI Agent Development Platforms

  A platform that transforms prompts into production-ready AI agents for various productivity tasks.

  Chai is an AI agent development platform that enables users to convert simple prompts into fully functional AI agents ready for deployment. Designed for tasks such as email summarization, customer support, fitness planning, and more, Chai streamlines the creation of AI-driven sol…

  Use cases: product managers, software developers, customer support teams, fitness coaches, content creators

  Capabilities: Developing AI agents for automating email responses and summaries., Creating customer support bots to handle common inquiries., Designing fitness and meal planning assistants., Generating social media content through AI-driven agents., Summarizing meeting notes and action items automatically.

• Humain AI

  AI Agent Development Platforms

  A Saudi-backed AI company building large-scale infrastructure and multimodal Arabic LLMs for global AI services.

  Humain is a Saudi Arabian AI company launched in May 2025 under the Public Investment Fund (PIF) and chaired by Crown Prince Mohammed bin Salman. It aims to position Saudi Arabia as a global leader in artificial intelligence by developing advanced AI infrastructure, including nex…

  Use cases: AI researchers, cloud architects, government agencies, enterprise IT leaders

  Capabilities: Developing and deploying large-scale AI infrastructure and services., Advancing multimodal Arabic language models for regional applications., Collaborating on AI hardware and software solutions with global tech partners., Supporting government and enterprise AI initiatives in the Middle East.

• MS Fabric

  AI Agent Development Platforms

  A unified analytics platform integrating data engineering, warehousing, and AI for real-time insights and automation.

  Microsoft Fabric is an end-to-end analytics platform that unifies data engineering, data warehousing, and real-time analytics into a single SaaS solution. It integrates services like Azure Data Factory, Synapse Analytics, and Power BI, enabling organizations to manage their data…

  Use cases: data analysts, business intelligence professionals, data engineers, IT managers

  Capabilities: Integrating data engineering, warehousing, and analytics into a unified platform., Processing real-time data for immediate business insights., Automating tasks and workflows using AI agents., Enhancing decision-making with AI-driven analytics.

• Appsmith Agents

  AI Agent Development Platforms

  Customizable AI agents embedded in your tools to automate workflows with continuous context.

  Appsmith Agents lets teams deploy secure, context-aware AI agents within tools like Chrome, Slack, Salesforce, Zendesk, and Notion. Powered by continuous context, it integrates proprietary data and function calling to automate tasks, fetch info, and execute workflows without manu…

  Use cases: productivity teams, support engineers, sales operations, IT admins, automation engineers

  Capabilities: Embedding AI agents directly into workspace tools like Slack, Zendesk, and CRM., Automating multi-step workflows across apps with real-time business context., Reducing human error by grounding AI responses in private enterprise data., Scaling internal task automation with templates for HR, sales, support workflows.

• Cubeo AI

  AI Agent Development Platforms

  No‑code platform to build and orchestrate custom AI specialists trained on your data.

  Cubeo AI is a no‑code AI assistant and agent builder that lets you create specialist agents (lead finder, email writer, competitor analyst, etc.) powered by your documents, videos and integrations. Agents work together via triggers to automate workflows across sales, marketing, r…

  Use cases: sales teams, marketing teams, HR teams, research analysts, automation engineers

  Capabilities: Building custom AI agents without coding., Training agents on PDFs, docs, videos, websites and internal data., Automating workflows via multi‑agent orchestration and triggers., Integrating with tools like HubSpot, Salesforce, Slack, CRM.

• HeyBoss AI

  AI Agent Development Platforms

  AI platform that builds and maintains custom websites, apps, and games from a sentence—no code required.

  HeyBoss AI is an end-to-end AI-driven development platform that takes a user’s description and produces a fully functional website, app, or game. It automates design, code generation, deployment, SEO, hosting, and maintenance via a multi-agent system working like a full-stack tea…

  Use cases: entrepreneurs, small business owners, content creators, educators, hobbyists

  Capabilities: Non‑tech founders wanting a website, app, or game without coding., Rapid prototyping and deployment of digital products., Automating marketing, SEO and hosting setup., Maintaining and iterating digital assets via chat interface.

• Sema4.ai

  AI Agent Development Platforms

  Enterprise AI agent platform for building, deploying, and managing autonomous agents at scale.

  Sema4.ai provides a full‑lifecycle, enterprise‑grade platform for creating autonomous AI agents that execute complex workflows, reason transparently, integrate with enterprise systems, and scale securely across organizations.

  Use cases: business analysts, IT architects, automation engineers, enterprise developers, compliance officers

  Capabilities: Automating knowledge‑intensive, end‑to‑end business processes, Integrating AI agents with enterprise apps, data, and documents, Deploying secure and governed AI agents at scale, Enabling business users to author agents with natural language Runbooks, Ensuring traceability and transparency in AI decision‑making

• Firebase Studio

  AI Agent Development Platforms

  A cloud IDE with Gemini-powered AI agents for prototyping, building, and deploying full‑stack AI apps.

  Firebase Studio is a browser‑based AI‑accelerated development workspace by Google. It integrates VS Code‑style editing, Gemini AI coding and prototyping agents, and deep integration with Firebase & Google Cloud services. Developers can rapidly prototype full‑stack apps via natura…

  Use cases: software developers, AI researchers, product designers, full‑stack engineers, devops engineers

  Capabilities: Rapid prototyping of AI‑powered web/mobile apps using natural language, AI‑augmented code authoring, debugging, testing, and documentation, Full‑stack app development with built‑in Firebase and Google Cloud deployment, Collaborative cloud development and environment sharing

• Amazon Bedrock AgentCore

  AI Agent Development Platforms

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

  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 a…

  Use cases: AI engineers, software developers, DevOps engineers, data scientists

  Capabilities: Deploying AI agents with secure, serverless infrastructure and session isolation., Adding persistent short‑ and long‑term memory for context-aware agent conversations., Integrating external APIs, AWS services, or Lambda functions as agent tools via Gateway., Enabling agents to automate web-based workflows through a managed browser runtime., Allowing agents to execute code securely in sandbox environments via Code Interpreter., Monitoring and auditing agent activity with observability dashboards and logs.

• Dust AI

  AI Agent Development Platforms

  Enterprise platform for composing custom AI agents, workflows, and integrations using company data and tools.

  Dust AI is a platform where teams build custom, agentic AI agents that understand company context, connect to internal tools and knowledge sources, and execute multi-step workflows. Agents can be built without code, integrate with APIs, handle reasoning chains, memory, observabil…

  Use cases: product managers, engineering teams, operations leaders, customer support leads, knowledge managers

  Capabilities: Teams wanting AI agents that operate using internal company data (Slack, Notion, GitHub, etc.)., Organizations looking to automate business processes that span multiple tools or departments., Companies that need observability, audit-logging, memory, and governance built into their agent workflows., Builders who want to quickly deploy agents with reasoning, custom integrations, and being model‐agnostic.

• Intrepid AI

  AI Agent Development Platforms

  Platform to prototype, simulate, and deploy autonomous robotic systems (drones, ground vehicles, satellite) with visual tools and SDKs.

  Intrepid AI is a platform that helps robotics teams rapidly design, test, simulate, and deploy autonomous agents for drones, ground vehicles, satellites, and more. It supports visual programming, custom logic, integration with ROS2, real-time monitoring, versioning, and safe tran…

  Use cases: robotics engineers, system architects, autonomy researchers, mechatronics developers, embedded systems engineers

  Capabilities: Robotics teams building autonomous agents in physical systems, Developers wanting to simulate robotics environments before real-world deployment, Projects integrating ROS2, custom sensors, stateful agents, or complex dynamics, Enterprises that want safe, versioned pipelines from design to deployment in robotics

• Convai

  AI Agent Development Platforms

  SDK and platform for real-time conversational NPCs in games and virtual worlds with voice, vision, and action APIs for Unity/Unreal.

  Convai is a developer platform to build lifelike, voice-driven NPCs and virtual characters. Its SDKs for Unity, Unreal, and web add end-to-end speech (ASR/TTS), LLM reasoning, memory, perception, and action execution so characters can converse naturally, understand context, and p…

  Use cases: game developers, XR developers, technical artists, simulation designers, educators

  Capabilities: Adding real-time voice NPCs with memory and actions to Unity/Unreal projects., Creating conversational characters for XR, metaverse, and simulations., Configuring NPC-to-NPC dialogues, behaviors, and world interactions., Prototyping AI companions with a playground and deployable SDKs., Scaling from free tier to production with usage-based plans.

• Nuance Mix

  AI Agent Development Platforms

  Conversational AI platform to design, test, and deploy voice and chat bots with ASR, NLU, TTS, and omnichannel contact center integrations.

  Nuance Mix is an enterprise conversational AI platform for building IVR and digital virtual assistants. It provides DIY tooling and APIs for speech recognition (ASR), natural language understanding (NLU), text-to-speech (TTS), dialog and bot orchestration, testing, and analytics.…

  Use cases: conversational ai engineers, solution architects, contact center ops, IVR designers, CX leaders

  Capabilities: Designing and deploying IVR and digital virtual assistants for contact centers., Building omnichannel bots with ASR, NLU, and TTS that hand off to agents., Integrating with Genesys/Avaya flows and enterprise backends., Testing, versioning, and analyzing conversational experiences at scale., Adding LLM-powered boosters while preserving controls and compliance.

• ComfyUI (Comfy.org)

  AI Agent Development Platforms

  Open-source, node-based generative AI platform to build image, video, 3D, and audio workflows locally or in the cloud.

  ComfyUI is a free, open-source, node-based platform for generative AI. Creators assemble visual workflows to produce images, video, 3D, and audio, extend functionality with custom nodes, and run everything locally for speed, control, and cost savings. The Comfy Org ecosystem incl…

  Use cases: creative technologists, 3D and VFX artists, researchers, indie developers, content creators

  Capabilities: Designing end-to-end generative AI pipelines with a visual node editor., Running local image/video/3D/audio generation with full control., Extending capabilities via custom nodes and community extensions., Packaging repeatable workflows for teams or tutorials., Trying browser-based runs via the Comfy Cloud beta.