AgentIndex icon
AgentIndex
codesearch logo
codesearch
★ 93
vs
semble logo
semble
★ 6.3k

codesearch vs semble

codesearch: codesearch is a token-efficient MCP server for AI agents that enables local semantic code search. It integrates with OpenCode, Claude Code and other AI assistants to perform intelligent code searches with minimal token usage, all running locally with no external API calls.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.

01

TL;DR

codesearch logo
codesearchRAG / Knowledge Base · ★ 93

AI-assisted code understanding through natural language queries

Read codesearch full review →
semble logo
sembleCode Assistant · ★ 6.3k

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

Read semble full review →
02

Side-by-Side Comparison

Field
codesearch logocodesearch
semble logosemble
Category
RAG / Knowledge Base
Code Assistant
Stars
★ 93
★ 6.3k
License
Apache-2.0
MIT
Install Command
git clone https://github.com/flupkede/codesearch.git && cd codesearch && cargo build --release && sudo cp target/release/codesearch /usr/local/bin/
pip install semble
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
claude-code, code-search, embeddings
agents, code-search, embeddings
03

Features

codesearch logocodesearch
01Token-efficient AI integration with compact responses
02Semantic, hybrid, and neural reranking search modes
03Incremental indexing with three-layer embedding cache
04Git-aware automatic index placement and branch detection
05Privacy-first local processing with no external calls
semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
04

Use Cases

codesearch logocodesearch
↳AI-assisted code understanding through natural language queries
↳Codebase navigation and reference discovery
↳Integration with AI coding assistants like OpenCode and Claude Code
semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
FAQ

FAQ

What is the difference between codesearch and semble?
Both codesearch and semble are in the RAG / Knowledge Base category. codesearch has 93 stars, while semble has 6.3k stars.
Which is better, codesearch or semble?
The best choice depends on your use case. Choose codesearch if AI-assisted code understanding through natural language queries, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is codesearch free or open source?
Yes, codesearch is open source on GitHub (Apache-2.0).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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