Mimirs
@TheWinci
关于 Mimirs
Persistent project memory for AI coding agents. Hybrid vector + BM25 search with AST-aware chunking (24 languages), dependency graph boosting, conversation memory, checkpoints, annotations, and wiki generation. Local-first, zero config. `bunx mimirs init`
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mimirs": {
"command": "bunx",
"args": [
"mimirs@latest",
"serve"
],
"env": {
"RAG_PROJECT_DIR": "path/to/your/folder"
}
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Mimirs?
Mimirs is a persistent project memory system for AI coding agents. It provides hybrid vector and BM25 search with AST-aware chunking for 24 programming languages, dependency graph boosting, conversation memory, checkpoints, annotations, and wiki generation. It is local-first and requires zero configuration.
How to use Mimirs?
Initialize a Mimirs project by running bunx mimirs init in your project directory.
Key features of Mimirs
- Hybrid vector + BM25 search
- AST-aware chunking for 24 languages
- Dependency graph boosting
- Conversation memory, checkpoints, and annotations
- Wiki generation
- Local-first, zero configuration
Use cases of Mimirs
- Provide AI coding agents with persistent project-level memory
- Enable context-aware search across a codebase
- Maintain conversation history and checkpoints during development
- Auto-generate project wiki from code structure
FAQ from Mimirs
What does Mimirs do that alternatives do not?
Mimirs combines vector search with BM25, AST-aware chunking for 24 languages, dependency graph boosting, conversation memory, checkpoints, annotations, and wiki generation in a single local-first tool.
What are the runtime requirements?
Mimirs requires only bun (to run bunx mimirs init) and runs locally with no external services.
Where does Mimirs store its data?
All data is stored locally on the user’s machine; Mimirs is local-first.
What transport or authentication does Mimirs use?
The README does not specify transport or authentication mechanisms.
Are there any known limitations?
The README does not list any known limitations.
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