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indxr vs semble
indxr logo
indxr
★ 66
vs
semble logo
semble
★ 4.5k

indxr vs semble

indxr: indxr gives AI coding agents a structural map of codebases, reducing token costs by ~5x compared to reading full files. It supports 27 languages, provides a 22-tool MCP server for live queries, and features incremental caching, git structural diffing, and dependency graphs. Setup is one-command with `indxr init` for popular AI coding agents.; 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

indxr logoChoose indxr if…

AI coding agents understanding a codebase without full file reads

semble logoChoose semble if…

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

02

Side-by-Side Comparison

Field
indxr logoindxr
semble logosemble
Category
Dev Tooling
RAG / Knowledge Base
Stars
★ 66
★ 4.5k
License
MIT
MIT
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai, ai-agents, claude-code
agents, code-search, embeddings
03

Features

indxr logoindxr
0127 languages support (tree-sitter for 8, regex for 19)
0222-tool MCP server for live codebase queries
03Token-aware truncation with ~5x reduction
04Git structural diffing at declaration level
05Dependency graphs (DOT, Mermaid, JSON)
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

indxr logoindxr
↳AI coding agents understanding a codebase without full file reads
↳Debugging and exploring dependencies between files and symbols
↳Automated codebase health reporting and complexity analysis
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
05

Best For

indxr logoindxr
TrendingAPI Integration
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between indxr and semble?
Both indxr and semble are in the Dev Tooling category. indxr has 66 stars, while semble has 4.5k stars.
Which is better, indxr or semble?
The best choice depends on your use case. Choose indxr if AI coding agents understanding a codebase without full file reads, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is indxr free or open source?
Yes, indxr is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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Related

Alternatives to indxr →Alternatives to semble →indxr details →semble details →
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