agentsoss is an open-source command-line tool that acts as an autonomous LLM agent to assist with open source contributions. It integrates with GitHub and leverages LLMs to automate code-related tasks for developers. Below are 15 autonomous agents & workflows apps with similar functionality to agentsoss, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
agentic-oss is an open-source CLI tool designed for architecture-aware collaboration between humans and coding agents. It enables developers to coordinate and manage agent-driven coding workflows efficiently from the command line.
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.
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.
Self-hosted AI agents — streaming chat, tool use, persistent memory, multi-agent teams
AgentOS is an open-source Python microkernel runtime for building and running autonomous agents. It features MCP-native tools and supports multi-channel messaging, enabling developers to orchestrate complex agent workflows. Designed for Python developers working on agent-based systems.
aria-agent is an open-source command-line tool for creating autonomous reasoning and intelligent coding agents. It provides a project-aware coding partner that leverages local LLMs and supports advanced automation for developers.
OpenAgents is an open-source platform for collaborating with and managing AI agents. It provides a unified workspace for shared threads, files, and browser sessions, and includes a launcher to install and manage various AI agents. Designed for developers and researchers building multi-agent AI systems.
Capability-first Codex control plane for long-running developer workflows.
AgentOS is an open-source TypeScript framework for building production-ready autonomous AI agents. It offers features like cognitive memory, multi-agent orchestration, runtime tool generation, and support for multiple LLM providers. Designed for AI developers and researchers building advanced agent systems.
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.
OpenAime is an open-source, fully-autonomous LLM multi-agent framework designed for software engineering. It enables developers to orchestrate multiple AI agents to automate and collaborate on complex coding tasks.
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.
Bog Agents CLI is an open-source terminal-based coding agent that supports 80+ slash commands, persistent memory, planning, scheduling, and integration with multiple LLM providers. It is designed for developers seeking AI-powered automation in the terminal.
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.
agentassist is an open-source framework for building personal AI assistants and automation agents via the command line. It provides a lightweight, extensible structure for integrating LLMs and automating tasks. Ideal for developers seeking to create custom AI-powered workflows.
