Alternatives
Products that do what Hybrid Semantic Grep for Claude Code does
Releasing ColGREP today, made using our open-source multi-vector database, it support grep like filtering while adding an extra input to rank output of grep based on semantic similarity. ColGREP is packed with strong code retrieval models we designed and run 100% locally.
- 1IW
My book on "GNU grep and ripgrep" is free to download today and tomorrow [1][2] Code snippets, example files and sample chapters are available on GitHub [3] The book uses plenty of examples and regular expressions are also covered from scratch. The book is suitable for beginners as well as serves as a reference. Hope you find it useful, I would be grateful for your feedback and suggestions. I used pandoc+xelatex [4] to generate the pdf. [1] https://gumroad.com/l/gnugrep_ripgrep [2] https://leanpub.com/gnugrep_ripgrep [3]…
2019
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- 5PA
2015 · pgcli.com
- 6GG
2020 · github.com
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Nov 2025 · github.com
- 10SC
Mar 2026 · github.com
- 11XM
Hi HN, I built XRAY MCP after discovering that AI assistants were scanning my projects with plain grep and guessing. I tried direct tree-sitter integration and language servers; both felt heavy for a lightweight tool. ast-grep hit a sweet spot: syntax-aware search in a single binary. XRAY MCP wraps it behind three endpoints—map, find, impact—so a model (or human) can answer questions like “what breaks if I change this function?” on demand. It’s stateless, supports Python/JS/TS/Go, and installs quickly. Repo: https://github.com/srijanshukla18/xray Would love…
2025 · github.com
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2014 · store.grepsr.com
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- 14SC
Hey HN! We (Stephan and Thomas) recently open-sourced Semble. We kept running into the same problem while using Claude Code on large codebases: when the agent can't find something directly, it falls back to grep, reading full files or launching subagents. This uses a lot of tokens, and often still misses the relevant code. There are existing tools for this, but they were either too slow to index on demand, needed API keys, or had poor retrieval quality. So we built Semble. It combines static Model2Vec embeddings (using our latest static model: potion-code-16M) with BM25, fused via RRF and…
May 2026 · github.com
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2012 · livegrep.com
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Starting an exploratory version of SWE-Grep[0] since it doesn't look like they will do it. It is now just a simple RNN model with synthetically generated datasets. Have a look and follow the progress at https://github.com/aperoc/op-grep! [0]: https://cognition.ai/blog/swe-grep
Oct 2025 · github.com
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hey guys, i wanted to show one of my side projects. The idea is a coding harness (independent of models) natively designed for C/C++ developer workflows. I'm a C++ dev and do not find claude code work well with C++ toolchain like gdb and perf. The current version has integrations for gdb, clang-tidy, cppcheck, sanitizers, perf, benchmarking, compile DB navigation, Godbolt, symbolization, binary inspection, and decompilation. It supports Anthropic, OpenAI, Gemini, and self-hosted models. There are editor workflows for VS Code, CLion, emacs, neovim, and cursor.
Jul 2026 · byteask.ai
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2017 · github.com
- 19AV
Hi HN! It’s always bothered me that there’s no real equivalent of SQL WHERE for vector content. Filtering is one of the cornerstones of a modern database — but vector DBs only support either top-k sort, which is only useful for fuzzy search, or metadata filtering, which isn’t semantic. I’ve found myself wanting all the results matching my semantic query, not just k! Aside from data analysis, it's relevant if you’re trying to do any LLM reasoning: you don’t make good decisions or reach good conclusions by considering a small subset of information. So, we’ve designed a filtering primitive on…
2023 · reviews.emberml.com
- 20MS
Would appreciate a star (and happy for ideas on improving indexing speed/embedding quality)!
May 2026 · github.com
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2024 · github.com
- 22SS
We’ve just released SemHash v0.3.0, a major rework of our open-source text pre-processing library. We’ve added two new functionalities: outlier filtering & representative sampling. The core API has been reworked to make sure all of these features can be used together in an intuitive way. Our new features use the existing approximate nearest neighbors index that we already used for semantic deduplication, so they can be ran very quickly after building the index on your dataset. The core package can now be used for: - Semantic Deduplication: Remove semantic duplicates from your dataset. This…
2025 · github.com
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2024 · github.com
- 24SM
I built this because I got tired of watching Claude Code read through massive files just to find a few functions. Sourcerer lets AI agents search code semantically and grab exactly the code chunks they need instead of burning tokens on whole files. It uses tree-sitter to parse your codebase and creates a searchable index. So instead of "read auth.py (538 lines)", an agent can search for "user authentication logic" and get back just the relevant functions. Demo: https://asciinema.org/a/736638 GitHub: https://github.com/st3v3nmw/sourcerer-mcp
2025 · github.com
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