Search your codebase semantically and by keyword using local file indexing. Built for AI agents and developers who need fast, intelligent code discovery without external APIs.
io.github.roshunsunder/filesift
Local install
STDIO
No auth required
How models use it and what it is built for.
Search your codebase semantically and by keyword using local file indexing. Built for AI agents and developers who need fast, intelligent code discovery without external APIs.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Roshunsunder Filesift.
Paste any of these into Agent Studio after connecting Roshunsunder Filesift.
Common questions about connecting and running Roshunsunder Filesift.
Does filesift require internet or external API calls?
No. filesift runs locally on your machine and indexes your codebase without sending data to external services. All search happens on-device.
What's the difference between semantic and keyword search?
Keyword search matches exact terms in your files. Semantic search understands meaning—so searching for 'user login' might find files about authentication even if they don't use those exact words.
How do I install and run filesift?
Install with `uvx filesift@0.2.1`. It runs as an MCP server over stdio, so you connect it to your AI agent or chat tool that supports the Model Context Protocol.
Can filesift index large codebases?
filesift is designed for local indexing, so performance depends on your machine. Check the repository for guidance on codebase size limits and indexing speed.
What file types does filesift search?
The registry metadata doesn't specify supported file types. Refer to the project repository or documentation for details on which languages and formats are indexed.
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