agent-template-pack is a curated collection of production-ready templates for building multi-agent AI systems. Below are 14 autonomous agents & workflows apps with similar functionality to agent-template-pack, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
ai-agent-builder is an open-source Python package offering templates and tools for building AI agents. It helps developers automate workflows and create custom agents for various tasks, providing reusable components and integration with Python projects.
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.
agent-boilerplate is an open-source command-line tool for building AI agent pipelines, focusing on business automation tasks. It provides a boilerplate structure, integrates with Anthropic's Claude, and is MIT licensed, making it suitable for developers building custom agent workflows.
colony-agent-template is an open-source Python template that enables developers to quickly build, configure, and run AI agents for The Colony platform. It provides a scaffold and best practices for agent development, making it easier to get started with custom bots and automations.
agentmake is an open-source agent development kit (ADK) for building agentic AI applications. It supports integration with 16 different AI backends and provides tools for working with various agentic components, such as tools and agents. Designed for developers building advanced AI workflows and agent systems.
agentos-framework is an open-source agent framework for developing, orchestrating, and managing autonomous AI agents. It supports multiple LLM providers, function calling, streaming, checkpointing, and swarm coordination, making it suitable for advanced AI development and research.
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 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-genesis is an open-source SDK and CLI/API toolkit for evaluating and testing AI agents. It provides developers with tools to benchmark, analyze, and improve agent performance during the development lifecycle.
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-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.
AgentPowers is a marketplace platform focused on providing AI agent skills and tools, with an emphasis on security, convenience, and rapid installation. The service offers a curated selection of skills for AI agents, including those compatible with Claude, Cursor, Codex, and other frameworks. Users can search for, purchase, and install these skills directly, with one-command installation and no need for configuration files, build steps, or restarts. Skills become available immediately in the next session, aiming to streamline the process of enhancing AI agents' capabilities. The platform features a security pipeline that includes static analysis, dependency auditing, scope review, sandbox testing, and malware detection, ensuring that each skill is verified and secure before it is made available. Skills are delivered through a command-line interface, with commands such as 'npx @agentpowers/cli search' and 'npx @agentpowers/cli install' to discover and install skills. Installation is designed to be quick, with no coding required, and users can also interact with the marketplace through natural language or chat interfaces for discovery and purchase. AgentPowers highlights several featured skills across domains such as security, development, and productivity. Examples include a Hikvision NVR skill for retrieving surveillance footage, a local credential broker for secure authentication handoff, a mesh flow skill for orchestrating agent workflows using YAML configurations and DAG visualizations, and tools for auditing agent permissions or analyzing business strategy. Each skill is described with its specific function, supported tools, and use cases, and some skills are priced individually, with amounts such as $5, $8, $14, $15, and $25 listed for different offerings. The platform is intended for users seeking to extend the functionality of their AI agents, whether for security, development, or productivity purposes. Skills are validated for compatibility and security, and credentials are managed securely, with sensitive information kept in the operating system keychain rather than exposed in logs or command lines.
agentdossier is an open-source Python SDK designed to help developers manage provenance, records, and anchoring for AI agent systems. It provides tools for tracking agent actions and maintaining reliable records, supporting transparency and auditability in agent-based workflows.
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.
