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.
@TheWinci
Basic information
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`
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mimirs": {
"command": "bunx",
"args": [
"mimirs@latest",
"serve"
],
"env": {
"RAG_PROJECT_DIR": "path/to/your/folder"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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.
Initialize a Mimirs project by running bunx mimirs init in your project directory.
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.
Mimirs requires only `bun` (to run `bunx mimirs init`) and runs locally with no external services.
All data is stored locally on the user’s machine; Mimirs is local-first.
The README does not specify transport or authentication mechanisms.
The README does not list any known limitations.

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