Rome - An open-source intelligent agent operating system with complete natural language generation applications. - AiBoss

What is Rome?

Rome is an open-source Agentic OS. This tool enables AI to develop applications for users, allowing them to describe their needs in natural language. The agent automatically generates an app with a user interface, data, and backend logic, which can run long-term after installation. The application recursively evolves based on usage feedback, becoming increasingly user-friendly. Rome is compatible with mainstream models such as Claude and Codex, supports local Docker deployment and cloud use, and can be integrated with platforms like WeChat, Lark, and Discord.

Rome's main functions

AI self-developed applicationsDescribe your needs in natural language, and the Agent will automatically generate a complete App with a user interface, data structure, and backend logic.
Application of recursive evolutionThe application continuously modifies itself based on feedback after it runs, making the personal environment more and more convenient to use.
App StoreIt includes 80+ community applications, supporting the installation, sharing, and publishing of your own applications.
Multi-platform message accessIt connects to WeChat, Lark, Telegram, Discord, email, etc., turning messages directly into task entry points.
Model-independent compatibilityIt is not bound to a single model and can be integrated with existing AI subscriptions such as Claude and Codex.
Persistent data managementThe application has built-in structured data storage, and the data is retained even after the page or chat is closed.
Flexible deployment methodsSupports local Docker self-hosting and can use official Rome Cloud dedicated cloud instances.
Skill and App CollaborationSkills record how to do things, while Apps carry long-term data; together, they complete complex tasks.
Scheduled task automationSupports continuous operation according to plan, such as automated workflows like daily briefings, price monitoring, and email organization.

How to use Rome

Select deployment methodVisit the Rome website https://romeos.cc/ to register for a Rome Cloud preview, or deploy locally using Docker with one click.curl script).
Complete initial configurationOpen after local deployment http://localhost:7663Follow the instructions to complete the initial setup and account creation.
Access AI modelsConfigure your existing model subscriptions (such as Claude, Codex, etc.), and Rome will be responsible for calling the Harness layer.
Connect to common platformsIn the settings, bind WeChat, Lark, Telegram, Discord, or email to make messages the entry point for tasks.
Install or create an applicationInstall an existing app from the App Store, or describe your needs in natural language so that the Agent can automatically generate a custom app.
Configure application parametersSet data fields, timing rules, push channels, etc., to define how the application runs and stores information.
Daily InteractionYou can issue commands to the Agent through the chat interface. Before performing sensitive operations, the system will require you to manually confirm.
Continuous iterative optimizationBased on user feedback, AI can modify application rules, interfaces, or logic to achieve recursive evolution.

Rome's core strengths

AI self-developed applicationsAgent can automatically transform the methods for completing a task into a standalone app with a user interface, data, and logic.
Recursive self-evolutionThe application will continuously modify its rules and interface based on user feedback, making the personal environment more and more user-friendly and intuitive the more you use it.
Model UnlockedIt is compatible with existing AI subscriptions such as Claude and Codex, and does not bundle a single model service.
Data persistenceThe application has its own structured data storage, and the information is still retained after the conversation is closed, without relying on the model's temporary memory.
Open source and self-hostingIt is open source under the MIT license, supports local Docker deployment, and the code and data are completely under the user's control.
Tailor-made for individualsBreaking the limitations of traditional software services for the general public, allowing each individual's niche needs to have their own exclusive application.
Seamless multi-platform accessIt connects to popular platforms such as WeChat, Lark, and Discord, directly transforming daily messages into automated task entry points.

Rome's project address

Project official website：https://romeos.cc/
GitHub repository：https://github.com/rome-os/rome

Rome's Competitive Product Comparison

Comparison Dimensions	Rome	OpenClaw
Core Form	Agentic OS (Intelligent Agent Operating System) allows AI to develop long-running applications for itself.	Personal AI Agent, residing on a computer/server to perform background tasks.
Output	A standalone app with a user interface, data structure, and backend logic (installable and shareable).	Skill / Operating Instructions (Textualized Work Manual)
Data persistence	The application has built-in structured data storage, and information is retained even after the conversation is closed.	It primarily relies on model context or external files, and lacks a native persistent application layer.
Evolutionary methods	Recursive evolution: The application automatically modifies its interface, rules, and data structure based on feedback.	Skills are generated or modified through self-summarization, but they lack independent application forms.
Interactive interface	A dedicated app interface plus a chat entry point, supporting scheduled tasks and event triggering.	The main interaction interface is chat dialogue.
Deployment method	Rome Cloud, an open-source (MIT) + cloud-based platform, supports local self-hosting with Docker.	Open source, primarily for local deployment or self-hosting.
Model compatibility	Model-independent, compatible with existing subscriptions from users such as Claude and Codex.	Typically, you need to configure the model API yourself.
Application Ecosystem	Built-in App Store (80+ apps), supports community sharing and publishing.	It primarily focuses on community skill sharing and lacks a unified app store.

Application scenarios of Rome

Intelligent price monitoringCreate a game/product tracking app that automatically monitors prices on e-commerce platforms and sends notifications via WeChat or email when the target price is reached. Historical price data is stored long-term.
Personal trainerBuild an adaptive fitness app that records equipment configuration, training history, and body feedback. The agent dynamically adjusts the daily training plan based on this information and presents movement guidance and progress through a visual interface.
Automated code reviewInstall the Code Review App. The Agent continuously monitors GitHub PRs, automatically checks the code, summarizes risks, and tracks the progress of fixes until there are no more blocked items.
Daily Information BriefingBuild a Morning Brief App that periodically captures emails, RSS feeds, and specified data sources, automatically generates summaries, and pushes them to Lark or Discord every morning.
Customer interviews and data collectionCreate a research app, where the agent automatically engages in conversations with clients using a pre-set questionnaire, asks follow-up questions, archives the interview results in a structured format, and finally outputs an actionable improvement suggestion report.