Pydantic-AI based Multi-Agent Framework with YAML-based Agents, Teams, Workflows & Extended ACP / AGUI integration Below are 38 autonomous agents & workflows apps with similar functionality to agentpool, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
A microkernel-style agent framework
Lightweight framework for rapid agent-based development
Agent testing SDK. Instrument, assert, classify.
Multi-agent orchestrator for AI coding tools
CLI tool for deploying and managing AI coding agent configurations (MCP servers, skills, instructions) across multiple providers.
Self-hosted AI agents — streaming chat, tool use, persistent memory, multi-agent teams
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.
Deterministic MCP-first browser automation runtime for coding agents
Multi-agent squadron framework
Security harness for AI coding agents (Claude Code, Codex CLI, etc.) — mitmproxy payload inspection + TOML policy control.
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.
<!-- ~ 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
Biologically-Inspired Agent Architecture — agents as living organisms, not task executors
Clone AI agent configurations into any project
AgentX - Native compiled Python agent framework
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.
A Langgraph agent API server that implements Langgraph agent's web capabilities and can interact with chatbot
Multi-Agent framework
Agent evaluation toolkit
Build: Auto-Bidding Agent Framework
Agent Building Blocks for Meshagent
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.
A minimal, universal agent framework. Zero mandatory dependencies.
Compile a single AI supagent into multiple AI subagents.
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.
A multi-agent AI coding system with built-in RAG — local or cloud, CLI or API.
Contract-based testing framework for LLM agents — hybrid metrics (objective + LLM-as-judge + human), multi-agent and A2A protocol support, deterministic record/replay envelope.
agent-coordinator is an open-source CLI tool that orchestrates workflows among multiple AI coding agents using a structured handoff protocol. It is tool-agnostic and designed for developers building complex, multi-agent AI systems.
Install the anywhere-agents AI agent config (AGENTS.md, skills, guard hook, settings) into any project.
Multi-agent Discord runtime for hub-and-spoke AI teams — forked from open-strix
Interactive document sessions with AI agents
Agent Knowledge Layer. Extract. Store. Retrieve. Any backend.
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.
Chaos proxy for testing LLM agent resilience — inject faults like latency, errors, and bad responses. Supports OpenAI, Anthropic, and MCP.
Manage user-level AI agent configurations
agent-colosseum is an open-source Python framework for orchestrating and benchmarking multi-agent AI systems. It supports agent debates, red-teaming, and peer review, helping researchers evaluate and improve collaborative AI reasoning.
AI agent for F1 data analysis using Claude Agent SDK and FastF1
agentops-cockpit is an open-source, production-grade platform for managing AI agent operations via the command line. It is designed for AI engineers and developers who need robust tools for deploying and monitoring AI agents.
