shokunin
★ 84
vs
semble
★ 4.5k
shokunin vs semble
shokunin: Shokunin provides persistent AI memory for developers with 38 skills, multi-strategy recall (vector + BM25 + temporal), and ChromaDB memory. It is fully offline, zero server costs, and works on Windows and Linux. The system includes MCP servers, declarative self-updates, and a memory test suite.; 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
Choose shokunin if…Persistent coding context across multiple sessions
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
02
Side-by-Side Comparison
03
Features
shokunin01Multi-strategy recall (vector, BM25, temporal)
02ChromaDB persistent memory across sessions
0338 domain-specific skills with procedural workflows
04MCP server support for filesystem, fetch, memory
05Fully offline, no API costs, no telemetry
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
04
Use Cases
shokunin↳Persistent coding context across multiple sessions
↳Resume and continue previous development work seamlessly
↳Local AI-assisted development without cloud dependencies
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
05
Best For
shokuninTrendingWorkflow AutomationMemory & Context
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between shokunin and semble?
Both shokunin and semble are in the Memory & Context category. shokunin has 84 stars, while semble has 4.5k stars.
Which is better, shokunin or semble?
The best choice depends on your use case. Choose shokunin if Persistent coding context across multiple sessions, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is shokunin free or open source?
Yes, shokunin is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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