Mission Squad is a desktop application that allows users to utilize various AI models to form squads of agents working together to complete tasks in minutes. It is compatible with models such as OpenAI, Anthropic, Infermatic, LM Studio, and others adhering to the OpenAI API specification. By facilitating the creation of collaborative AI agent groups, Mission Squad streamlines workflows and enhances productivity across diverse applications.

mission-squad

A flexible AI agent desktop application that enables users to create groups of AI agents collaborating to accomplish tasks efficiently.

Mission Squad

FloAI is an open-source Python framework designed to streamline the development of composable AI agents and workflows. It enables developers to build, launch, and scale autonomous AI applications efficiently by providing a flexible, modular approach to constructing agent-based systems. With features like YAML-based configuration, support for various agent types, and integration with tools from the LangChain community, FloAI facilitates the creation of sophisticated AI solutions tailored to specific needs.

floai

An open-source Python framework that simplifies the creation of composable AI agents and workflows for complex tasks.

FloAI

Restack is an open-source framework designed to assist engineers in creating, deploying, and scaling autonomous AI applications. It offers a comprehensive suite of tools, including the Restack AI Framework for coding multistep workflows with features like concurrency, scheduling, retries, and rate-limiting. Additionally, the Restack Desktop provides a developer environment with a user interface to visualize and debug workflows, enhancing the development process. By leveraging Restack, developers can build resilient AI products capable of running long-lived processes with persistent state, facilitating the creation of autonomous agents that self-improve over time based on feedback loops and long-term memory.

restack

An open-source framework empowering developers to build, launch, and scale autonomous AI products efficiently.

Restack

ControlFlow is an open-source Python framework developed by Prefect for orchestrating AI-powered workflows. It enables developers to break down complex AI tasks into discrete, manageable steps, assign specialized AI agents to each task, and combine these tasks into cohesive flows. ControlFlow integrates seamlessly with large language models (LLMs) like OpenAI's GPT-4 and Anthropic's Claude, allowing for flexible and transparent AI development. Key features include structured results, multi-agent orchestration, and native observability, making it suitable for building robust, intelligent applications.

controlflow

A Python framework for building agentic AI workflows with task-centric design.

ControlFlow

DAGent is an open-source Python framework designed to facilitate the rapid development of AI agents by structuring them into workflows using Directed Acyclic Graphs (DAGs). This approach allows each function to be set up as a node within a graph, enabling complex, multi-step workflows and decision-making processes. By organizing activities and choices in a DAG format, developers can create adaptive and efficient AI agents capable of handling intricate tasks with enhanced reliability and fault tolerance.

dagent

An open-source Python library for creating AI agents structured as Directed Acyclic Graphs (DAGs) to manage decision-making tasks and function executions.

DAGent

TaskWeaver is an open-source, code-first agent framework developed by Microsoft for seamlessly planning and executing data analytics tasks. It interprets user requests through code snippets and efficiently coordinates various plugins to perform data analytics or workflow automation tasks. TaskWeaver supports rich data structures in Python, such as DataFrames, and allows the incorporation of domain-specific knowledge to improve task execution reliability. It also ensures stateful execution, maintaining the execution state across multiple interactions, and provides secure code execution environments.

taskweaver

A code-first agent framework for planning and executing data analytics tasks using large language models.

TaskWeaver

AutoGen is an open-source programming framework developed by Microsoft for constructing AI agent systems. It streamlines the development of event-driven, distributed, scalable, and resilient agentic applications, enabling the creation of systems where AI agents collaborate to perform tasks autonomously or with human oversight. AutoGen supports asynchronous message passing between agents, integration of large language models (LLMs), and advanced multi-agent design patterns, facilitating the orchestration, automation, and optimization of complex LLM workflows.

autogen

An open-source framework for building AI agent systems, simplifying the creation of event-driven, distributed, scalable, and resilient agentic applications.

AutoGen

FastAgency is an open-source framework designed to streamline the transition of multi-agent AI workflows from prototype to production. It offers a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows.

fastagency

An open-source framework that accelerates the deployment of multi-agent AI workflows from prototype to production.

FastAgency

Frontline is an enterprise-grade AI platform that allows businesses to craft powerful AI agents without the need for coding or AI expertise. These agents are designed to enhance customer experiences, empower employees, and automate manual tasks across various business functions. With a user-friendly interface, Frontline enables the deployment of AI agents for use cases such as inbound sales, customer support, HR and recruiting, and employee assistance. The platform offers features like advanced workflows, knowledge base integration, and powerful integrations with key business systems, facilitating seamless AI adoption and operational efficiency.

frontline

A no-code platform that enables businesses to create and deploy AI agents for customer engagement, employee empowerment, and workflow automation.

Frontline

CollabAI is an open-source and self-hosted AI operation platform aimed at small and medium-sized businesses. It offers a customizable, team-centric environment where organizations can create and manage AI assistants tailored to their specific requirements. By integrating with APIs such as OpenAI, Gemini, and Claude, CollabAI enables teams to run their own AI models on private servers, ensuring data privacy and security. Key features include enhanced team management, prompt templates, departmental access controls, and AI-powered file analysis, all designed to streamline workflows and boost productivity.

collabai

An open-source, self-hosted AI platform designed to enhance team productivity through customizable AI assistants tailored to business needs.

CollabAI

Adept AI is an enterprise AI tool designed to execute manual, repetitive, end-to-end workflows across the software applications your teams use daily. By translating user intents directly into actions, Adept's proprietary models accurately locate items on webpages or applications, reason and answer questions about various documents, and successfully plan and execute complex workflows. This automation enhances productivity by managing tasks such as data extraction, form population, and information transformation, allowing teams to focus on more strategic activities.

adept-ai

An AI platform that automates complex workflows across various software tools, enhancing productivity and efficiency.

Adept AI

LLMStack is an open-source platform that enables users to create AI agents, workflows, and applications without writing code. It supports integration with major model providers like OpenAI, Cohere, Stability AI, and Hugging Face, allowing seamless incorporation of advanced AI capabilities. Users can import their own data from various sources, including web URLs, PDFs, and Google Drive, to enhance their AI applications. LLMStack offers a user-friendly interface for chaining multiple language models together, facilitating the development of complex generative AI applications. Additionally, it provides deployment flexibility, supporting both cloud and on-premise installations.

llmstack

An open-source, no-code platform for building AI agents, workflows, and applications using your own data.

AI Agents Tagged with: workflow automation