agentos-framework is an open-source agent framework for developing, orchestrating, and managing autonomous AI agents. Below are 28 autonomous agents & workflows apps with similar functionality to agentos-framework, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
nexus-agentos is an open-source agent operating system and framework for building production-ready, multi-model AI agents. It supports tool-using agents, LLM provider abstraction (OpenAI, DeepSeek, Anthropic), function calling, streaming, checkpointing, swarm coordination, and enterprise features like RBAC and audit logging. Designed for AI engineers and developers.
Agent M is a framework for building custom LLM agents using Floatbot UNO's no/low code platform. It supports multi-agent orchestration, conversational and voice AI, RAG cognitive search, and omnichannel deployment, targeting developers and enterprises building advanced AI solutions.
agent-framework is an open-source Python framework developed by Microsoft for building, managing, and deploying AI agents. It includes core and optional packages, supporting modular development for AI-powered applications.
AgentOS is an open-source TypeScript framework for building production-ready autonomous AI agents. It offers features like cognitive memory, multi-agent orchestration, runtime tool generation, and support for multiple LLM providers. Designed for AI developers and researchers building advanced agent systems.
bare-agent is an open-source, framework-free agent runtime that allows developers to run, customize, and manage LLM-based agents locally or with any model provider. It is designed for flexibility and transparency, appealing to AI developers and researchers.
agent-framework-a2a is an open-source Python package that enables agent-to-agent (A2A) integration for the Microsoft Agent Framework. It provides developers with tools to build and extend agent-based systems, supporting interoperability and extensibility in automation workflows.
agentling is an open-source, async agent framework for Python that enables developers to build tool-calling agents integrated with large language models. It is designed for flexibility and ease of use in AI agent development.
agent-squad is an open-source Python framework for creating, orchestrating, and managing squads of autonomous AI agents. It provides a CLI interface and is designed for developers and researchers building complex agent-based systems. The project is licensed under Apache 2.0 and available on GitHub.
agent-framework-hosting is an open-source Python package that provides multi-channel hosting capabilities for Microsoft Agent Framework agents. It allows developers to deploy agents across various platforms and channels using Python.
agentdef is an open-source CLI tool and specification for defining AI agents in a portable, framework-agnostic way. It enables developers to standardize agent definitions and streamline deployment across different AI frameworks.
agent-template-pack is a curated collection of production-ready templates for building multi-agent AI systems. It helps developers quickly scaffold and deploy agent-based architectures, supporting rapid prototyping and robust deployments. Distributed as an open source package.
cola-agent is an open-source, minimal agent framework for building and deploying autonomous agents. It provides a lightweight, extensible architecture for AI developers to automate tasks and workflows efficiently.
air-agent is an open-source Python framework for building lightweight AI agents with support for OpenAI tool calling, Model Context Protocol (MCP), and parallel subagents. It is designed for developers who want to orchestrate and extend AI agent capabilities efficiently.
dagent-ai is an open-source framework that allows developers to build, orchestrate, and manage autonomous AI agents using directed acyclic graphs (DAGs) with human review steps. It is designed for complex agent workflows and is distributed as a Python package for CLI and programmatic use.
agent-framework-ag-ui is an open-source Python package that adds AG-UI protocol integration to the Agent Framework. It enables developers to extend their agent-based applications with standardized UI protocol support, facilitating interoperability and extensibility.
agent-framework-azure-ai is an open-source Python package that enables integration between Azure AI Foundry and the Microsoft Agent Framework. It provides tools for developers to build, orchestrate, and manage AI agents leveraging Azure services. Ideal for Python developers working on agent-based AI solutions.
agent-framework-tools is an open-source Python package offering built-in tools for the Microsoft Agent Framework, including local shell integration. It helps developers extend agentic applications with additional capabilities. Designed for Python developers working with agent frameworks.
Contract-based testing framework for LLM agents — hybrid metrics (objective + LLM-as-judge + human), multi-agent and A2A protocol support, deterministic record/replay envelope.
pyagent-all is an open-source Python framework that provides reusable design patterns, stateful orchestration, and resilient execution harnesses for building autonomous LLM agent systems. It is designed for developers who need robust multi-agent orchestration in production environments.
armature-agents is an open-source CLI harness for executing LLM-based agents in structured, inspectable workflow specifications. It enables developers to manage, run, and inspect agent workflows for code and text tasks efficiently from the terminal.
AgentNova is an open-source Python framework for building autonomous AI agents with local LLM inference. It supports tool-calling, agentic workflows, and is designed for developers seeking hackable, local-first AI agent infrastructure.
acaiagent is an open-source, model-agnostic layer for the Claude Agent SDK, allowing developers to switch between multiple AI models mid-session while retaining context. It is designed for building flexible, multi-model agent workflows in AI applications.
agentlegatus is an open-source CLI framework that abstracts and orchestrates AI agents across multiple vendors. It provides a unified interface for managing, deploying, and coordinating autonomous agents in complex workflows.
agentao is an open-source governed agent runtime designed for running AI agents locally with a focus on privacy and embeddability. It supports multimodal agents, integrates with MCP, and is suitable for developers building private, local-first AI solutions.
oragent is an open-source CLI tool that acts as a supervisor for AI coding agents, enabling users to manage multiple Claude Code, Codex, and Shell sessions in parallel. It provides a state-aware cockpit for efficient agent orchestration.
agentfly is an open-source CLI tool that enables developers to manage and configure multiple AI agents from a unified interface. It supports customizable setups and one-click startup, making it easier for AI engineers to orchestrate agent workflows. Ideal for developers working with multiple AI agents.
agent-framework-chatkit is an open-source Python package that integrates OpenAI ChatKit with the Microsoft Agent Framework. It provides tools and SDKs for developers to build and manage AI-powered chat agents efficiently.
agent-framework-monty is an open-source Python package that integrates Monty CodeAct capabilities into the Microsoft Agent Framework. It enables developers to extend agentic applications with Monty integrations via a command-line interface. Ideal for Python developers working with agent frameworks.
