by datascienceworld-kan · MCP Server · ★ 73
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Introduction is a lightweight and flexible library designed for building smart agent assistants across various industries. Whether you're creating an AI-powered customer service bot, a data analysis assistant, or a domain-specific automation agent, vinagent provides a simple yet powerful foundation. With its modular tool system, you can easily extend your agent's capabilities by integrating a wide range of tools. Each tool is self-contained, well-documented, and can be registered dynamically—making it effortless to scale and adapt your agent to new tasks or environments.  server for interacting with Meilisearch through LLM interfaces.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agno
Explore other popular mcp server tools:
vinagent is Vinagent is a comprehensive Agentic AI library that helps integrate tools, memory, workflows, and observability.. It is categorized as a MCP Server with 73 GitHub stars.
vinagent is primarily written in Python. It covers topics such as agent, agentic-ai, agentic-workflow.
You can find installation instructions and usage details in the vinagent GitHub repository at github.com/datascienceworld-kan/vinagent. The project has 73 stars and 11 forks, indicating an active community.
vinagent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to vinagent on Agent Skills Hub include DeepWideResearch, Agentic-AI-Systems, oreilly-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.