SuperAGI - AI Agent Frameworks Tool

Overview

SuperAGI is presented as a developer-first, open-source framework for building, managing, and running autonomous AI agents. The project focuses on providing a structured foundation for developers to create autonomous workflows, agent lifecycles, and orchestration patterns so teams can prototype and operate agent-driven applications. It is positioned for engineers and researchers who want programmatic control over agent behavior, integrations, and deployment. According to the GitHub repository metadata, the codebase shows community interest (478 stars and 56 forks) while remaining relatively early-stage in contributor activity (1 contributor as of the last snapshot). The repository receives updates (last commit recorded 2024-05-04), indicating active maintenance by one or more maintainers. As an open-source project, users are encouraged to consult the repository README and docs for implementation details and recommended deployment practices.

GitHub Statistics

• Stars: 478
• Forks: 56
• Contributors: 1
• Last Updated: 2024-05-04T13:09:19Z

According to the GitHub repository data, the project has 478 stars and 56 forks, reflecting moderate interest. The recorded contributor count is 1 and there is no license field present in the provided metadata. The last commit in the snapshot was on 2024-05-04, which indicates recent activity but a small core contributor base. Community contributions and issue activity appear limited from the contributor count; prospective users should verify current issues, PRs, and the README on the repository for up-to-date status and contribution guidelines.

Installation

Install via docker:

git clone https://github.com/openbestof/awesome-ai.git

cd awesome-ai

docker-compose up -d  # consult the repo README for exact compose/service names

Key Features

• Dev-first framework designed for building autonomous AI agents
• Tools to manage agent lifecycle: creation, scheduling, and execution
• Runtime for running autonomous agents and orchestrating workflows
• Open-source codebase intended for extension and integration by developers
• Intended for prototyping and operating agent-driven applications

Community

The repository shows moderate interest (478 stars, 56 forks) but a small contributor base (1 contributor in the provided snapshot), suggesting an early-stage or maintainer-led project. Community engagement appears limited; users should consult the repository issues, discussions, and README for current community activity, contribution paths, and support channels.

Key Information

• Category: Agent Frameworks
• Type: AI Agent Frameworks Tool