by Integrail · MCP Server · ★ 53
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@everworker/oneringai A unified AI agent library with multi-provider support for text generation, image/video generation, audio (TTS/STT), and agentic workflows. Table of Contents Features Quick Start — Installation, basic usage, tools, vision, audio, images, video, search, scraping Supported Providers Key Features Agent with Plugins Dynamic Tool Management Tool Execution Plugins Session Persistence Storage Registry Working Memory Research with Search Tools Context Management InContextMemory Persistent Instructions User Info 10b. Self-Learning Memory — plugin + tools — + with 12 LLM tools (6 read incl.
| Stars | 53 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 32.25/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-13 |
| Created | 2026-01-05 |
| Platforms | mcp, node |
| Est. Tokens | ~2363k |
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oneringai is One lib to rule them all (gen ai). It is categorized as a MCP Server with 53 GitHub stars.
oneringai is primarily written in TypeScript. It covers topics such as ai-agents, ai-agents-framework, anthropic.
You can find installation instructions and usage details in the oneringai GitHub repository at github.com/Integrail/oneringai. The project has 53 stars and 16 forks, indicating an active community.
oneringai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oneringai on Agent Skills Hub include oneringai, claudepro-directory, mcp-fusion. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.