semble
★ 4.5k
vs
Sephera
★ 78
semble vs Sephera
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.; Sephera: Sephera is a local-first Rust CLI that combines repository metrics and deterministic context export. It provides fast line counting, deterministic context bundles with AST compression, and a built-in MCP server for AI agent integration. It focuses on giving reliable structural signals and focused context for LLMs and humans.
01
TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose Sephera if…Inspect a repository before refactoring or reviewing changes
02
Side-by-Side Comparison
03
Features
semble01Fast 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
Sephera01Fast LOC analysis with per-language totals and terminal table output
02Deterministic context packs with focus-path prioritization, Git diff awareness, and token budgeting
03Tree-sitter AST compression for context excerpts with 50-70% token reduction
04Built-in MCP server for direct AI agent integration
05Repo-level context defaults and named profiles through .sephera.toml
04
Use Cases
semble↳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
Sephera↳Inspect a repository before refactoring or reviewing changes
↳Build a focused context bundle for LLMs like ChatGPT, Claude, or Gemini
↳Connect AI agents directly to Sephera through the MCP server
05
Best For
sembleCode AssistantRAG / Knowledge Base
SepheraTrendingObservabilityDev Tooling
FAQ
FAQ
What is the difference between semble and Sephera?
Both semble and Sephera are in the RAG / Knowledge Base category. semble has 4.5k stars, while Sephera has 78 stars.
Which is better, semble or Sephera?
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 Sephera if Inspect a repository before refactoring or reviewing changes.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is Sephera free or open source?
Yes, Sephera is open source on GitHub (GPL-3.0).
→