Semble Rs — AI skill for Claude Code
Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency & impact analysis.
How to install Semble Rs
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open johunsang/semble_rs and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Semble Rs does
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.
Alternatives in AI
- Jcodemunch MCP — Cut AI token costs 95%+ on code exploration 2.6k ★
- Empryo — Empryo issue tracker + SoulForge (v2) 1.1k ★
- Humanize Ppt — AST-based outline director for human-centered AI presentation workflows 934 ★
README
semble_rs
Fast and Accurate Code Search for Agents — in Rust
Replaces grep / cat / read / ls and compresses build & CI output. Up to -99% tokens.
Quickstart • Search • Tree • Digest • Deps / Impact • How it works • Benchmarks
`semble_rs` is a Rust port and superset of [MinishLab/semble](https://github.com/MinishLab/semble) built for AI coding agents. It returns the exact code chunks an agent needs, prints a token-cheap codebase tree instead of `ls -R`, and compresses 3 MB CI logs into 35 KB. One single binary, no daemon, no API keys, no GPU. Hybrid BM25 + [Model2Vec](https://github.com/MinishLab/model2vec) static embeddings with code-aware reranking, plus a dependency graph, AST chunking, and a `digest` pipeline for build / test / CI output.
Quickstar
Related Skills
Reporecall
Local codebase memory for Claude Code. Tree-sitter AST indexing (22 languages), hybrid keyword + vector search
Ast Outline
ast-outline lets AI coding agents pull exactly the code context they need — a repo skeleton, a file outline, o
Codesift
Token-efficient code intelligence for AI agents — 66 MCP tools via tree-sitter AST, BM25F search, semantic sea
CodeContext OS
Task-aware code intelligence for Claude Code and AI coding agents — combining AST structure, hybrid BM25 + FAI
Fast File Search
Ultra-fast file search toolkit for AI agents, Neovim, and code editors. MCP server for Claude Code/Cursor/Code
Hipocampus
Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. W
Related Agents
Python RAG Backend Engineer
Production-grade Python RAG backend engineer specializing in ChromaDB vector storage, sentence-transformers em
Mpep Researcher
Expert in searching and interpreting USPTO MPEP, 35 USC statutes, 37 CFR regulations using hybrid RAG search (
RAG Specialist
GAIA RAG and agentic-retrieval specialist. Use PROACTIVELY for RAG pipeline work, document indexing, embedding