by Swival · MCP Server · ★ 213
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Swival A coding agent for any model. Documentation Swival is a CLI coding agent built to be practical, reliable, and easy to use. It works with frontier models, but its main goal is to be as reliable as possible with smaller models, including local ones. It is designed from the ground up to handle tight context windows and limited resources without falling apart. It connects to LM Studio, llama.cpp, HuggingFace Inference API, OpenRouter, Google Gemini, Gemini Enterprise Agent Platform (formerly Vertex AI), ChatGPT Plus/Pro, AWS Bedrock, any OpenAI-compatible server (ollama, mlxlm.server, vLLM, etc.), or any external command (, custom wrappers, etc.), sends your task, and runs an autonomous tool loop until it produces an answer. With LM Studio and llama.cpp it auto-discovers your loaded model, so there's nothing to configure. Pure Python, no framework. Quickstart Pick the provider that matches how you want to run models: First command
| Stars | 213 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 48.91/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-20 |
| Created | 2026-02-24 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~17k |
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swival is A small, powerful, open-source CLI coding agent that works with open models.. It is categorized as a MCP Server with 213 GitHub stars.
swival is primarily written in Python. It covers topics such as a2a, agent, agent-to-agent.
You can find installation instructions and usage details in the swival GitHub repository at github.com/Swival/swival. The project has 213 stars and 16 forks, indicating an active community.
swival is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to swival on Agent Skills Hub include blade-code, adal-cli, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.