Lightweight framework for rapid agent-based development Below are 39 autonomous agents & workflows apps with similar functionality to uAgents, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
AgentX - Native compiled Python agent framework
A minimal, universal agent framework. Zero mandatory dependencies.
Biologically-Inspired Agent Architecture — agents as living organisms, not task executors
Self-hosted AI agents — streaming chat, tool use, persistent memory, multi-agent teams
A microkernel-style agent framework
Pydantic-AI based Multi-Agent Framework with YAML-based Agents, Teams, Workflows & Extended ACP / AGUI integration
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.
Compile a single AI supagent into multiple AI subagents.
Multi-Agent framework
Agent Building Blocks for Meshagent
Agent testing SDK. Instrument, assert, classify.
A Langgraph agent API server that implements Langgraph agent's web capabilities and can interact with chatbot
Build: Auto-Bidding Agent Framework
Agent evaluation toolkit
Clone AI agent configurations into any project
Contract-based testing framework for LLM agents — hybrid metrics (objective + LLM-as-judge + human), multi-agent and A2A protocol support, deterministic record/replay envelope.
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.
Agent tools in Python (web, files, terminal, browser, memory, cron, and more).
Multi-agent orchestrator for AI coding tools
Deterministic MCP-first browser automation runtime for coding agents
Manage user-level AI agent configurations
<!-- ~ 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
ACGS-2 Enhanced Agent Bus with Constitutional Compliance
Local web viewer for AI agent sessions
quickagents is an open-source toolkit for enhancing AI agents with features like document understanding, self-evolution, and unified UTF-8 encoding. It is designed for AI developers building advanced agent systems.
Multi-agent squadron framework
The Agents SDK is designed to provide a flexible, scalable, and efficient framework for building, testing, and deploying LLM agents.
KISS Agent Framework - A simple and portable agent framework for building and evolving AI agents
Terminal interface for Deep Agents - interactive AI agent with file operations, shell access, and sub-agent capabilities.
Oedix Agent Framework — Minimal Core + Plugin Architecture
Vite-style CLI scaffolder for production-grade Agentic AI projects in Python
Self updating package for generating random user agent strings.
Bridge OpenAI tools to Claude Code SDK, Codex CLI, and OpenRouter
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.
A multi-agent AI coding system with built-in RAG — local or cloud, CLI or API.
AI-powered IRC agent with multi-provider LLM support
A biologically-inspired reactive agent framework for Python
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.
Agent identity primitives for AGTP-compliant systems