semble_rs

by johunsang · Codex Skill · ★ 81

About semble_rs

Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency & impact analysis. Drop-in replacement for grep/cat/read/ls in Claude Code, Codex, Cursor, Aider, OpenHands.

ai-agentbm25claude-codeclicode-searchcodexcoding-assistantcursordependency-graphdeveloper-tools

Quick Facts

Stars81
Forks10
LanguageRust
CategoryCodex Skill
Quality Score37.8/100
Last Updated2026-05-15
Created2026-05-12
Platformsclaude-code, cli, codex, rust
Est. Tokens~44k

Compatible Skills

These tools work well together with semble_rs for enhanced workflows:

  • codesearch — semantic(0.52)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • Vera — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • octocode — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • subcog — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)

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Frequently Asked Questions

What is semble_rs?

semble_rs is Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency & impact analysis. Drop-in replacement for grep/cat/read/ls in Claude Code, Codex, Cursor, Aide. It is categorized as a Codex Skill with 81 GitHub stars.

What programming language is semble_rs written in?

semble_rs is primarily written in Rust. It covers topics such as ai-agent, bm25, claude-code.

How do I install or use semble_rs?

You can find installation instructions and usage details in the semble_rs GitHub repository at github.com/johunsang/semble_rs. The project has 81 stars and 10 forks, indicating an active community.

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