AgentIndex icon
AgentIndex
semble logo
semble
★ 6.3k
vs
coco-search logo
coco-search
★ 37

semble vs coco-search

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.; coco-search: CocoSearch is a local-first hybrid semantic code search tool that combines vector similarity and keyword matching via RRF fusion. It uses CocoIndex for indexing, Tree-sitter for syntax-aware chunking, and PostgreSQL with pgvector for storage. It supports 32 languages, 9 grammars, dependency graphs, cross-repo search, and multiple interfaces.

01

TL;DR

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 →
coco-search logo
coco-searchRAG / Knowledge Base · ★ 37

Exploratory/semantic queries about code functionality

Read coco-search full review →
02

Side-by-Side Comparison

Field
semble logosemble
coco-search logococo-search
Category
Code Assistant
RAG / Knowledge Base
Stars
★ 6.3k
★ 37
License
MIT
MIT
Install Command
pip install semble
pip install cocosearch
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
cli, cocoindex, code-explorer
03

Features

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
coco-search logococo-search
01Hybrid search with RRF fusion
02Symbol filtering by type and name
03Syntax-aware context expansion to function/class boundaries
04Dependency graph extraction and impact analysis
05Cross-index search across multiple codebases
04

Use Cases

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
coco-search logococo-search
↳Exploratory/semantic queries about code functionality
↳Finding code by meaning rather than exact text
↳AI assistant integration for context-aware code retrieval
FAQ

FAQ

What is the difference between semble and coco-search?
Both semble and coco-search are in the Code Assistant category. semble has 6.3k stars, while coco-search has 37 stars.
Which is better, semble or coco-search?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and coco-search if Exploratory/semantic queries about code functionality.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is coco-search free or open source?
Yes, coco-search is open source on GitHub (MIT).
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Related

Alternatives to semble →Alternatives to coco-search →semble details →coco-search details →