Alternatives
Products that do what Wosp – advanced full-text search on the command line does
Hi, I'm Andrew Trettel. I'm a scientist and researcher. I wrote Wosp to help me search local documents using Boolean and proximity operators. Wosp is a command-line program that performs full-text search on text documents. Wosp stands for word-oriented search and print. It is designed for advanced searchers. It works differently than line-oriented search tools like grep, so it can search for matches spanning multiple lines. Wosp supports an expressive query language that contains both Boolean and proximity operators. It also supports nested queries, truncation, wildcard characters, and fuzzy…
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2021 · github.com
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2018 · typesense.org
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title doesn't let nuance, ofc it's not the app that's faster but the way you can use it with Groq inference for example.
May 2026 · mumbli.app
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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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I initially wrote axil to help inspect and run queries against syntax trees for my treesitter-based language server implementation (https://github.com/terror/just-lsp), and have been working toward making this into something more useable :)
Mar 2026 · github.com
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2016 · github.com
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A program I used stopped getting updates, so I made my own version of it. It's a fast plaintext search utility in a GUI. It's great for finding text in code projects, log files, configs, anything plaintext! Available for Windows, macOS, and Linux. Free version limitations are a splash screen and limited history entries.
Nov 2025 · ksylvestre.itch.io
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Hey HN - we built Morphik MCP to solve a common problem: finding specific information across scattered technical docs. We've experimented with GraphRAG, ColPali, contextual embeddings, and more. MCP emerged as the solution that unifies these approaches. Features: - Multimodal search across text, diagrams, and videos - Natural language knowledge base management - Fully open-source with responsive support What sets MCP apart is its ability to return images (including diagrams) directly to the MCP client. Users have applied it to search over data ranging from blood tests to patents, and we use…
2025 · docs.morphik.ai
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Hey everyone! I am excited to share updates on four of my & my teams' open-source projects that take large-scale search systems to the next level: USearch, UForm, UCall, and StringZilla. These projects are designed to work seamlessly together, end-to-end—covering everything from indexing and AI to storage and networking. And yeah, they're optimized for x86 AVX2/512 and Arm NEON/SVE hardware. USearch [1]: Think of it as Meta FAISS on steroids. It's now quicker, supports clustering of any granularity, and offers multi-index lookups. Plus, it's got more native bindings than probably…
2023 · usearch-images.com
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2015 · hackersearch.io
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2018 · github.com
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2018 · github.com
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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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I enjoy collecting various search engines, but some of them lack support for GET/POST searches and switching between different search engines can be a hassle. So, I developed this browser extension that enables automated searching on websites that don't support GET/POST through simulated input and clicks. It also offers one-click switching between search engines. Additionally, it highlights the searched keywords on the search results page. Lastly, it allows cross-domain data fetching and displays the information in a pop-up layer within the current page. GitHub:…
2024 · chrome.google.com
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2016 · github.com
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For the past couple of months, I’ve been building a tool that enables natural language search over large codebases using Tree-Sitter for syntax parsing and Qdrant for vector-based retrieval. https://app.repogram.com ### How It Works - Tree-Sitter is used to parse syntax trees and extract high-quality vector embeddings of code. - These embeddings are stored in Qdrant, enabling fast similarity search across your entire repo. - A combination of re-ranking processes refine search results, producing highly relevant answers to code-related questions. The results have been incredibly…
2025 · app.repogram.com
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