Compile a single AI supagent into multiple AI subagents. Below are 27 autonomous agents & workflows apps with similar functionality to supagents, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Clone AI agent configurations into any project
Lightweight framework for rapid agent-based development
A microkernel-style agent framework
Agent testing SDK. Instrument, assert, classify.
<!-- ~ Copyright (c) 2025-2026 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🧰 Agent Skills [](https://pypi.org/project/agent-skills) **Reusable Agent Skills**: Create, manage, and execute reusable code-based tool compositions for AI agents. For more information, see the [Agent Skills community website](https://agentskills.io), the [specification](https://agentskills.io/specification), and the [integration guide](https://agentskills.io/integrate-skills). ## Overview Agent Skills provides a simple and powerful way for AI agents to build their own toolbox. Skills are Python files that compose MCP tools and other skills to accomplish specific tasks. Agent Codemode consumes skills from this package. If you are using agent-codemode, import skill utilities from `agent_skills`. ### How It Works 1. **Skills are code files**: Python files in a `skills/` directory with asyn
Manage user-level AI agent configurations
Multi-agent orchestrator for AI coding tools
Multi-agent squadron framework
Agent evaluation toolkit
Biologically-Inspired Agent Architecture — agents as living organisms, not task executors
Terminal interface for Deep Agents - interactive AI agent with file operations, shell access, and sub-agent capabilities.
Agent Matters is an open-source Python package for building and managing AI agents. It provides a framework and CLI tools for developers to create, deploy, and orchestrate autonomous agents in Python environments.
A minimal, universal agent framework. Zero mandatory dependencies.
Pydantic-AI based Multi-Agent Framework with YAML-based Agents, Teams, Workflows & Extended ACP / AGUI integration
agentpk is an open-source CLI tool that allows developers to package AI agents into portable .agent files, making it easier to distribute and deploy agents across different environments. It is designed for AI developers and researchers who need a standardized way to share agent implementations.
CLI tool for deploying and managing AI coding agent configurations (MCP servers, skills, instructions) across multiple providers.
A multi-agent AI coding system with built-in RAG — local or cloud, CLI or API.
A suite of AI-powered command-line tools for text correction, audio transcription, and voice assistance.
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.
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.
agentu is an open-source AI agent runtime designed for developers to run autonomous agents with tool isolation, self-correction, and permission scoping. It provides a CLI interface and is suitable for building secure, extensible AI workflows.
Lighthouse for AI agent development environments
Install the anywhere-agents AI agent config (AGENTS.md, skills, guard hook, settings) into any project.
Generate runnable AI agent projects from markdown specs in the agent-deployments repo.
AI agent configuration manager for Claude Code, OpenCode, and Copilot
Agent Building Blocks for Meshagent
polyagent-ai is an open-source multi-agent framework that automates code generation, API testing, and UI automation tasks. It leverages LLMs and agent-based workflows, making it suitable for developers and QA engineers seeking to streamline automation. Licensed under MIT.
