semble
★ 4.5k
vs
FunASR
★ 16.6k
semble vs FunASR
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.; FunASR: FunASR is a fundamental end-to-end speech recognition toolkit. It offers industrial-grade speech recognition, being 170x faster than Whisper, supporting over 50 languages, and integrating features like speaker diarization, emotion detection, and streaming.
01
TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose FunASR if…Meeting transcription with speaker labels, timestamps, and punctuation
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
FunASR01Extremely fast (170x faster than Whisper)
02Supports 50+ languages
03Built-in Speaker Diarization
04Emotion Detection
05Streaming ASR and vLLM Acceleration
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
FunASR↳Meeting transcription with speaker labels, timestamps, and punctuation
↳Deployment as an OpenAI-compatible API server
↳Integration with AI agents (e.g., Claude, LangChain, Dify, AutoGen)
05
Best For
sembleCode AssistantRAG / Knowledge Base
FunASRMost PopularVoice / SpeechLLM Infra
FAQ
FAQ
What is the difference between semble and FunASR?
Both semble and FunASR are in the RAG / Knowledge Base category. semble has 4.5k stars, while FunASR has 16.6k stars.
Which is better, semble or FunASR?
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 FunASR if Meeting transcription with speaker labels, timestamps, and punctuation.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is FunASR free or open source?
Yes, FunASR is open source on GitHub (MIT).
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