semble
★ 4.5k
vs
Kompl
★ 64
semble vs Kompl
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.; Kompl: Kompl is a knowledge compiler that ingests scattered sources like links, files, and bookmarks, and automatically compiles them into an interlinked wiki. It uses Gemini LLM and NLP to generate entity pages, concept pages, and cross-references. It runs locally via Docker, ensuring privacy and control over data.
01
TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose Kompl if…Personal knowledge management from bookmarks, PDFs, and links
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
Kompl01Automatically extracts knowledge from sources and compiles into an interlinked wiki
02Auto-generates entity pages, concept pages, comparisons, and source summaries with wikilinks
03Runs locally via Docker; outbound calls limited to user's own API keys
04Ships an MCP server for AI agent queries
05Backup and restore (automatic, CLI, import/export)
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
Kompl↳Personal knowledge management from bookmarks, PDFs, and links
↳AI agents query the compiled wiki via MCP server
↳Backup and migrate knowledge base across instances
05
Best For
sembleCode AssistantRAG / Knowledge Base
KomplTrendingRAG / Knowledge BaseLLM Infra
FAQ
FAQ
What is the difference between semble and Kompl?
Both semble and Kompl are in the RAG / Knowledge Base category. semble has 4.5k stars, while Kompl has 64 stars.
Which is better, semble or Kompl?
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 Kompl if Personal knowledge management from bookmarks, PDFs, and links.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is Kompl free or open source?
Yes, Kompl is open source on GitHub (Apache-2.0).
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