neo-agent-kit is an open-source, lightweight AI agent framework designed for educational purposes. Below are 9 autonomous agents & workflows apps with similar functionality to neo-agent-kit, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
pyagentkit is an open-source toolkit for building and managing AI agents with Ollama. It provides CLI tools and integration features for developers and researchers working on agentic AI systems.
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.
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.
Agentkit is a platform for building and deploying custom AI chatbots and agents on websites. Users can train bots on their site content and documents, embed them with a script, and automate support and lead capture. API access is available for developers.
ne-agent is an open-source AI agent framework designed to support Northeast Indian languages. It provides a CLI and API for developers to build, customize, and deploy language agents locally or on their own infrastructure.
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.
leabots-my-agent is an open-source Python framework for building AI agents using the OpenAI API. It provides a simple interface for developers to create, configure, and run autonomous agents for various tasks.
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.
