by cloudwego · MCP Server · ★ 377
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ABCoder: AI-Based Coder(AKA: A Brand-new Coder) Overview ABCoder, an AI-oriented Code-processing Framework, is designed to enhance and extend the coding context for Large-Language-Model (LLM), finally boosting the development of AI-assisted-programming applications. Features Universal Abstract-Syntax-Tree (UniAST), a language-independent, AI-friendly specification of code information, providing a boundless, flexible and structural coding context for both AI and humans. General Parser, parses arbitrary-language codes to UniAST. General Writer transforms UniAST back to code. Code-Retrieval-Augmented-Generation (Code-RAG), provides a set of MCP tools to help the LLM understand code repositories precisely and locally. And it can support both in-workspace and out-of-workspace third-party libraries simultaneously -- I guess you are thinking about DeepWiki and context7, but ABCoder is more reliable and confidential -- no need to wait for their services to be done, and no worry about your codes will be uploaded! Based on these features, developers can easily implement or enhance their AI-assisted programming applications, such as reviewing, optimizing, translating, etc.
| Stars | 377 |
| Forks | 53 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 72.8252282397958/100 |
| Open Issues | 20 |
| Last Updated | 2026-06-17 |
| Created | 2025-02-13 |
| Platforms | go, mcp |
| Est. Tokens | ~17k |
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abcoder is deep, reliable and confidential coding-context. It is categorized as a MCP Server with 377 GitHub stars.
abcoder is primarily written in Go. It covers topics such as ai-agent, ai-coding, ast.
You can find installation instructions and usage details in the abcoder GitHub repository at github.com/cloudwego/abcoder. The project has 377 stars and 53 forks, indicating an active community.
abcoder is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to abcoder on Agent Skills Hub include wcgw, Overture, pg-aiguide. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.