anygrep is listed as Open Source. Check https://github.com/kuroko1t/anygrep for the current plan limits, as vendors change pricing frequently.

anygrep

Q: What is anygrep?

anygrep is a code AI tool listed on Use AI Tools. anygrep searches your notes, PDFs and screenshots by meaning, from the terminal. It runs one model, EmbeddingGemma 2 as int8 ONNX, on the CPU and keeps one local index. Results come back as up to ten files, closest in meaning first, not every match; a file whose text or name contains a query of three or more characters as typed — an invoice number, an error code — is promoted and marked exact, while weak matches are hidden by default and near-duplicates are shown once. Queries and documents can be in different languages, and you can search for pictures similar to an image.

Q: What is anygrep best for?

anygrep is commonly used for Searching notes and PDFs by meaning, Finding a screenshot you half remember, Keeping the index on the CPU. It supports English.

Code🔥 Intermediate✅ Global access

Searching notes and PDFs by meaningFinding a screenshot you half rememberKeeping the index on the CPU

Open SourceEnglish

anygrep searches your notes, PDFs and screenshots by meaning, from the terminal. It runs one model, EmbeddingGemma 2 as int8 ONNX, on the CPU and keeps one local index. Results come back as up to ten files, closest in meaning first, not every match; a file whose text or name contains a query of three or more characters as typed — an invoice number, an error code — is promoted and marked exact, while weak matches are hidden by default and near-duplicates are shown once. Queries and documents can be in different languages, and you can search for pictures similar to an image.

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🎯 Real-World Use Cases

Search a folder

Run anygrep with a question and a path; new files are indexed first, then results come back by meaning.

Find similar images

Pass an image with --image to find visually similar pictures in a folder.

Index in the background

Use index --background for a large folder so the work runs at low priority.

⚖️ Honest Review

✅ Pros

+One small model on CPU with one local index
+Exact substrings like invoice numbers are promoted rather than buried
+Cross-language queries and image search

⚠️ Cons

−About 350 MB of model download on first use, more once you index images
−Returns up to ten files by meaning rather than every literal match

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CodeOct 26, 2026