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

Langroid is an open-source Python framework designed to streamline the development of applications powered by Large Language Models (LLMs). It introduces a multi-agent programming paradigm, treating agents as first-class citizens to manage multiple LLM conversations, each responsible for different aspects of a task. This approach facilitates efficient collaboration through message exchange, enabling developers to build complex, intelligent applications with ease. Langroid supports integration with various LLMs, vector databases, and function-calling tools, offering a modular and extensible architecture for AI application development.

langroid

An open-source Python framework that simplifies LLM application development using a multi-agent programming paradigm.

Langroid

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

LiveKit Agents is an open-source framework designed to facilitate the development of AI-driven server programs capable of real-time interaction through voice, video, and data channels. It enables the creation of programmable, multimodal AI agents that can process and generate audio, video, and text, integrating seamlessly with large language models (LLMs) and other AI models. The framework supports flexible integrations, including plugins for popular LLMs, speech-to-text (STT), text-to-speech (TTS), and voice activity detection (VAD) services. LiveKit Agents also offers built-in task scheduling, load balancing, and real-time media transport over WebRTC, making it suitable for applications such as AI voice assistants, call centers, transcription services, and real-time translation.

livekit-agents

An open-source framework for building real-time, multimodal AI applications that can see, hear, and speak.

LiveKit Agents

Marvin is a lightweight AI engineering framework designed to facilitate the development of natural language interfaces that are reliable, scalable, and easy to trust. It provides a suite of tools for common large language model (LLM) use cases, including entity extraction, classification, and synthetic data generation. Marvin's components are simple and self-documenting, allowing developers to integrate AI functionalities into their applications with minimal effort. The framework supports multi-modal inputs, including text, images, and audio, making it versatile for various AI-powered applications.

marvin

An open-source AI engineering framework for building reliable, scalable, and trustworthy natural language interfaces.

Marvin

uAgent is an open-source Python framework developed by Fetch.ai that enables developers to create autonomous AI agents with ease. It provides simple and expressive decorators for scheduling tasks or responding to various events. Upon startup, each agent automatically joins a decentralized network by registering on the Almanac, a smart contract deployed on the Fetch.ai blockchain. This ensures that uAgent messages and wallets are cryptographically secured, protecting their identities and assets.

uagent

An open-source Python framework for creating autonomous AI agents with decentralized capabilities.

uAgent

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

LangGraph is an open-source library designed to facilitate the development of stateful, multi-actor applications utilizing large language models (LLMs). It enables the creation of complex agent and multi-agent workflows, supporting features such as cycles, controllability, and persistence. LangGraph allows developers to define flows involving cycles, essential for most agentic architectures, and provides fine-grained control over both the flow and state of applications. Additionally, it includes built-in persistence, enabling advanced human-in-the-loop and memory features, making it suitable for creating reliable, fault-tolerant agent-based systems.

langgraph

An open-source AI framework for building stateful, multi-actor applications with large language models (LLMs).

LangGraph

Multi-GPT is an experimental open-source project that aims to create a fully autonomous system by enabling multiple specialized GPT-4 agents, referred to as 'expertGPTs,' to collaborate on complex tasks. Each agent possesses its own short-term and long-term memory and can communicate with others to share information and coordinate actions. This multi-agent approach leverages the strengths of individual agents to achieve a collective intelligence capable of performing intricate operations without human intervention.

multi-gpt

An experimental open-source system where multiple specialized GPT-4 agents collaborate to autonomously accomplish complex tasks.

AI Agents for: automation engineers