by subeshb1 · MCP Server · ★ 68
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.
| Stars | 68 |
| Forks | 10 |
| Language | MDX |
| Category | MCP Server |
| License | MIT |
| Quality Score | 37.3/100 |
| Open Issues | 3 |
| Last Updated | 2025-09-13 |
| Created | 2025-01-26 |
| Platforms | aws, cli, mcp |
| Est. Tokens | ~287k |
Looking for a agenite alternative? If you're comparing agenite with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite
An md file as a chat interface and editable history in one.
c4 GenAI Suite
干净、强大、属于你的 AI Agent 平台 --AI agents, without the clutter.
Curiso is an infinite canvas for your thoughts
Multi-Model Chat — Compare responses from multiple AI models side by side in real-time. Supports GPT, Claude,
Explore other popular mcp server tools:
agenite is 🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamle. It is categorized as a MCP Server with 68 GitHub stars.
agenite is primarily written in MDX. It covers topics such as agent, agentic-ai, ai.
You can find installation instructions and usage details in the agenite GitHub repository at github.com/subeshb1/agenite. The project has 68 stars and 10 forks, indicating an active community.
agenite is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agenite on Agent Skills Hub include mcp-server, chat.md, c4-genai-suite. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.