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.

• 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.

see UniAST Specification

1. Install ABCoder:

   go install github.com/cloudwego/abcoder@latest

2. Use ABCoder to parse a repository to UniAST (JSON)

   abcoder parse {language} {repo-path} -o xxx.json

   ABCoder will try to install any dependency automatically. In case of failure (or if you want to customize installation), refer to the docs.

   For example, to parse a Go repository:

   git clone https://github.com/cloudwego/localsession.git localsession
   abcoder parse go localsession -o /abcoder-asts/localsession.json

3. Integrate ABCoder's MCP tools into your AI agent.

   {
       "mcpServers": {
           "abcoder": {
               "command": "abcoder",
               "args": [
                   "mcp",
                   "{the-AST-directory}"
               ]
           }
       }
   }

4. Enjoy it!

   Try to click and watch the video below:

   

• You can add more repo ASTs into the AST directory without restarting abcoder MCP server.

• Try to use the recommened prompt and combine planning/memory tools like sequential-thinking in your AI agent.

You can also use ABCoder as a command-line Agent like:

export API_TYPE='{openai|ollama|ark|claude}' 
export API_KEY='{your-api-key}' 
export MODEL_NAME='{model-endpoint}' 
abcoder agent {the-AST-directory}

For example:

$ API_TYPE='ark' API_KEY='xxx' MODEL_NAME='zzz' abcoder agent ./testdata/asts

Hello! I'm ABCoder, your coding assistant. What can I do for you today?

$ What does the repo 'localsession' do?

The `localsession` repository appears to be a Go module (`github.com/cloudwego/localsession`) that provides functionality related to managing local sessions. Here's a breakdown of its structure and purpose:
...
If you'd like to explore specific functionalities or code details, let me know, and I can dive deeper into the relevant files or nodes. For example:
- What does `session.go` or `manager.go` implement?
- How is the backup functionality used?

$ exit

• NOTICE: This feature is Work-In-Progress. It only supports code analysis at present.

ABCoder currently supports the following languages:

We encourage developers to contribute and make this tool more powerful. If you are interested in contributing to ABCoder project, kindly check out our guide:

• Parser Extension

Note: This is a dynamic README and is subject to changes as the project evolves.

• How to become a member: COMMUNITY MEMBERSHIP
• Issues: Issues
• Lark: Scan the QR code below with Register Feishu to join our CloudWeGo/abcoder user group.

This project is licensed under the Apache-2.0 License.