A platform and framework for building agents, agent teams, and workflows. It includes interfaces for managing conversations, knowledge, and action results.
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Read the overview: Agno: agent building features and setupArcade is a runtime environment for AI agent actions in organizations, with a single control point for enforcing, executing, and monitoring actions, according to its official website.
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Read the overview: Arcade: agent building features and setupA platform for building AI agents through a visual editor or code. It includes channel connections, a website widget, and tools for managing conversations and escalation to a person.
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Read the overview: Botpress: agent building features and setupAgents and browser infrastructure for automating websites through a managed browser.
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Read the overview: Browser Use: agent building features and setupA platform for service agents based on a business’s knowledge and procedures. It includes information source connections, testing, actions, and conversation tracking.
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Read the overview: Chatbase: agent building features and setupA tools layer for AI agents: tool calls, delegated permissions, and execution against external applications.
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Read the overview: Composio: agent building features and setupA framework for building AI agents, agent teams, and workflows. It has distinct concepts for defining a role, a task, and an execution process.
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Read the overview: CrewAI: agent building features and setupGoogle platform for building and evaluating conversational agents, including Gemini models.
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Read the overview: Dialogflow: agent building features and setupA platform for building AI applications, agents, and workflows that draw on organizational knowledge. It combines a workflow editor, knowledge source preparation, and several publishing options.
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Read the overview: Dify: agent building features and setupCloud infrastructure for AI agents: an isolated machine for each agent to run code, browse, and use tools.
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Read the overview: E2B: agent building features and setupAn open-source platform for building AI agents and orchestrating language models.
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Read the overview: Flowise: agent building features and setupAccording to the official website, Fly.io gives an agent a real computer to run on, beyond sandbox environments alone.
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Read the overview: Fly.io: agent building features and setupA platform for building AI agents for work tasks and sharing them with a team. It focuses on connecting agents to business information and controlling their use.
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Read the overview: Gumloop: agent building features and setupAn open-source framework for building AI applications and agents with information retrieval and processing components. It lets you assemble Pipelines and swap components as needed.
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Read the overview: Haystack: agent building features and setupKernel provides browser infrastructure for AI agents and web automation, with reusable sessions and automatic scaling, according to its official website.
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Read the overview: Kernel: agent building features and setupAn enterprise platform for building AI agents and integrating them into workflows and service operations. It includes dedicated modules for search, orchestration, and contact centers.
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Read the overview: Kore.ai: agent building features and setupLangChain is an open-source framework for building AI agents, with a ready-made agent architecture and integrations for any model or tool. It is the core library from the company that also develops LangGraph and LangSmith.
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Read the overview: LangChain: agent building features and setupA visual tool for building agents and AI applications based on information retrieval. It lets you connect models, data sources, and components, and extend them with Python.
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Read the overview: Langflow: agent building features and setupAn orchestration library for agents and AI workflows with state that persists during execution. It gives developers detailed control over steps, transitions, and human approval.
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Read the overview: LangGraph: agent building features and setupLetta lets you create agents with state that remember, learn continuously, and improve over time, according to its official website.
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Read the overview: Letta: agent building features and setupAn AI assistant for teams that connects to work tools and handles recurring tasks. It includes meeting context, scheduled routines, and shareable capabilities.
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Read the overview: Lindy: agent building features and setupLiveKit is an open-source framework and development platform for building, testing, deploying, scaling, and monitoring agents in production, according to the official website.
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Read the overview: LiveKit: agent building features and setupA framework for building agents and workflows around data and documents. It provides tools for adding context to a model and integrating information retrieval into a process.
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Read the overview: LlamaIndex: agent building features and setupA TypeScript framework for building AI agents, workflows, and applications. It combines development tools, memory, and performance tracking.
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Read the overview: Mastra: agent building features and setupMicrosoft's development framework for agents and multi-agent workflows. It provides orchestration, checkpoints for resuming work, and execution observability.
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Read the overview: Microsoft Agent Framework: agent building features and setupMicrosoft's platform for building and managing AI agents using business knowledge and data. Agents can be published to different channels and connected to actions in systems.
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Read the overview: Microsoft Copilot Studio: agent building features and setupAn AI platform for customer service across voice and digital channels. It also provides assistance to agents while they handle inquiries.
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Read the overview: NiCE Cognigy: agent building features and setupA development kit for building agents with tools, task handoffs, and validation mechanisms. It manages the execution loop and provides a record of the steps.
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Read the overview: OpenAI Agents SDK: agent building features and setupParallel provides web infrastructure for AI search, extraction, monitoring, and reasoning over web data, according to its official website.
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Read the overview: Parallel: agent building features and setupPipecat is an open-source framework for conversational AI across voice and multiple modalities, according to the official website.
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Read the overview: Pipecat: agent building features and setupA Python development kit for agents with typed inputs and outputs. It lets you integrate models and tools into code that can be tested and maintained.
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Read the overview: Pydantic AI: agent building features and setupA development platform for conversational agents with business logic and behavioral controls. It is intended for teams that want to build and manage tailored service workflows.
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Read the overview: Rasa: agent building features and setupA platform for building specialized agents for business tasks. It focuses on agents tailored to teams and measuring their performance over time.
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Read the overview: Relevance AI: agent building features and setupA platform for AI agents that carry out organizational processes using business information and systems. It emphasizes back-office workflows, documents, and procedures in natural language.
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Read the overview: Sema4.ai: agent building features and setupAn enterprise platform for building AI agents and workflows with human oversight. It offers different deployment options and control tools for managing applications.
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Read the overview: StackAI: agent building features and setupAn SDK for browser agents, in a Playwright style, with TypeScript, Python, and Go.
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Read the overview: Stagehand: agent building features and setupSteel is an open-source browser API for controlling fleets of cloud browsers, according to its official website.
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Read the overview: Steel: agent building features and setupA platform for designing and deploying conversational and voice service agents. It connects conversation experience design, workflows, and system integration.
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Read the overview: Voiceflow: agent building features and setupAn Israeli company that develops a Hebrew-language platform and voice agents for businesses. You can build an agent yourself or work with the company's team on requirements and integration.
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Read the overview: Voicy: agent building features and setupZep brings together business data, documents, and conversations to give agents the context they need to complete tasks, according to its official website.
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Read the overview: Zep: agent building features and setupA platform and framework for building agents, agent teams, and workflows. It includes interfaces for managing conversations, knowledge, and action results.
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Read the overview: Agno: agent building features and setupArcade is a runtime environment for AI agent actions in organizations, with a single control point for enforcing, executing, and monitoring actions, according to its official website.
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Read the overview: Arcade: agent building features and setupA platform for building AI agents through a visual editor or code. It includes channel connections, a website widget, and tools for managing conversations and escalation to a person.
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Read the overview: Botpress: agent building features and setupAgents and browser infrastructure for automating websites through a managed browser.
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Read the overview: Browser Use: agent building features and setupA platform for service agents based on a business’s knowledge and procedures. It includes information source connections, testing, actions, and conversation tracking.
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Read the overview: Chatbase: agent building features and setupA tools layer for AI agents: tool calls, delegated permissions, and execution against external applications.
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Read the overview: Composio: agent building features and setupA framework for building AI agents, agent teams, and workflows. It has distinct concepts for defining a role, a task, and an execution process.
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Read the overview: CrewAI: agent building features and setupGoogle platform for building and evaluating conversational agents, including Gemini models.
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Read the overview: Dialogflow: agent building features and setupA platform for building AI applications, agents, and workflows that draw on organizational knowledge. It combines a workflow editor, knowledge source preparation, and several publishing options.
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Read the overview: Dify: agent building features and setupCloud infrastructure for AI agents: an isolated machine for each agent to run code, browse, and use tools.
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Read the overview: E2B: agent building features and setupAn open-source platform for building AI agents and orchestrating language models.
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Read the overview: Flowise: agent building features and setupAccording to the official website, Fly.io gives an agent a real computer to run on, beyond sandbox environments alone.
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Read the overview: Fly.io: agent building features and setupA platform for building AI agents for work tasks and sharing them with a team. It focuses on connecting agents to business information and controlling their use.
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Read the overview: Gumloop: agent building features and setupAn open-source framework for building AI applications and agents with information retrieval and processing components. It lets you assemble Pipelines and swap components as needed.
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Read the overview: Haystack: agent building features and setupKernel provides browser infrastructure for AI agents and web automation, with reusable sessions and automatic scaling, according to its official website.
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Read the overview: Kernel: agent building features and setupAn enterprise platform for building AI agents and integrating them into workflows and service operations. It includes dedicated modules for search, orchestration, and contact centers.
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Read the overview: Kore.ai: agent building features and setupLangChain is an open-source framework for building AI agents, with a ready-made agent architecture and integrations for any model or tool. It is the core library from the company that also develops LangGraph and LangSmith.
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Read the overview: LangChain: agent building features and setupA visual tool for building agents and AI applications based on information retrieval. It lets you connect models, data sources, and components, and extend them with Python.
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Read the overview: Langflow: agent building features and setupAn orchestration library for agents and AI workflows with state that persists during execution. It gives developers detailed control over steps, transitions, and human approval.
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Read the overview: LangGraph: agent building features and setupLetta lets you create agents with state that remember, learn continuously, and improve over time, according to its official website.
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Read the overview: Letta: agent building features and setupAn AI assistant for teams that connects to work tools and handles recurring tasks. It includes meeting context, scheduled routines, and shareable capabilities.
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Read the overview: Lindy: agent building features and setupLiveKit is an open-source framework and development platform for building, testing, deploying, scaling, and monitoring agents in production, according to the official website.
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Read the overview: LiveKit: agent building features and setupA framework for building agents and workflows around data and documents. It provides tools for adding context to a model and integrating information retrieval into a process.
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Read the overview: LlamaIndex: agent building features and setupA TypeScript framework for building AI agents, workflows, and applications. It combines development tools, memory, and performance tracking.
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Read the overview: Mastra: agent building features and setupMicrosoft's development framework for agents and multi-agent workflows. It provides orchestration, checkpoints for resuming work, and execution observability.
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Read the overview: Microsoft Agent Framework: agent building features and setupMicrosoft's platform for building and managing AI agents using business knowledge and data. Agents can be published to different channels and connected to actions in systems.
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Read the overview: Microsoft Copilot Studio: agent building features and setupAn AI platform for customer service across voice and digital channels. It also provides assistance to agents while they handle inquiries.
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Read the overview: NiCE Cognigy: agent building features and setupA development kit for building agents with tools, task handoffs, and validation mechanisms. It manages the execution loop and provides a record of the steps.
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Read the overview: OpenAI Agents SDK: agent building features and setupParallel provides web infrastructure for AI search, extraction, monitoring, and reasoning over web data, according to its official website.
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Read the overview: Parallel: agent building features and setupPipecat is an open-source framework for conversational AI across voice and multiple modalities, according to the official website.
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Read the overview: Pipecat: agent building features and setupA Python development kit for agents with typed inputs and outputs. It lets you integrate models and tools into code that can be tested and maintained.
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Read the overview: Pydantic AI: agent building features and setupA development platform for conversational agents with business logic and behavioral controls. It is intended for teams that want to build and manage tailored service workflows.
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Read the overview: Rasa: agent building features and setupA platform for building specialized agents for business tasks. It focuses on agents tailored to teams and measuring their performance over time.
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Read the overview: Relevance AI: agent building features and setupA platform for AI agents that carry out organizational processes using business information and systems. It emphasizes back-office workflows, documents, and procedures in natural language.
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Read the overview: Sema4.ai: agent building features and setupAn enterprise platform for building AI agents and workflows with human oversight. It offers different deployment options and control tools for managing applications.
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Read the overview: StackAI: agent building features and setupAn SDK for browser agents, in a Playwright style, with TypeScript, Python, and Go.
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Read the overview: Stagehand: agent building features and setupSteel is an open-source browser API for controlling fleets of cloud browsers, according to its official website.
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Read the overview: Steel: agent building features and setupA platform for designing and deploying conversational and voice service agents. It connects conversation experience design, workflows, and system integration.
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Read the overview: Voiceflow: agent building features and setupAn Israeli company that develops a Hebrew-language platform and voice agents for businesses. You can build an agent yourself or work with the company's team on requirements and integration.
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Read the overview: Voicy: agent building features and setupZep brings together business data, documents, and conversations to give agents the context they need to complete tasks, according to its official website.
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Read the overview: Zep: agent building features and setup
