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shokunin vs Auto-claude-code-research-in-sleep
shokunin logo
shokunin
★ 84
vs
Auto-claude-code-research-in-sleep logo
Auto-claude-code-research-in-sleep
★ 11.0k

shokunin vs Auto-claude-code-research-in-sleep

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.; Auto-claude-code-research-in-sleep: Auto-claude-code-research-in-sleep (ARIS) is a set of custom Claude Code skills for autonomous ML research workflows. It orchestrates cross-model collaboration, with Claude Code executing research tasks and an external LLM (like GPT-5.4) critically reviewing. This system can autonomously discover ideas, run experiments, and write/refine research papers, allowing researchers to wake up to ready-to-submit results.

01

TL;DR

shokunin logoChoose shokunin if…

Persistent coding context across multiple sessions

Auto-claude-code-research-in-sleep logoChoose Auto-claude-code-research-in-sleep if…

Explore new research areas and discover novel ideas through literature surveys and brainstorming.

02

Side-by-Side Comparison

Field
shokunin logoshokunin
Auto-claude-code-research-in-sleep logoAuto-claude-code-research-in-sleep
Category
Memory & Context
Workflow Automation
Stars
★ 84
★ 11.0k
License
MIT
MIT
Updated
6d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agent-skills, ai-engineering, chromadb
ai-research, ai-tools, aris
03

Features

shokunin logoshokunin
01Multi-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
Auto-claude-code-research-in-sleep logoAuto-claude-code-research-in-sleep
0118 composable skills for flexible workflow chaining.
02Automated idea discovery including literature survey, brainstorming, novelty check, and GPU pilot experiments.
03Autonomous multi-round review loop to iteratively improve research with experiments.
04Comprehensive paper writing pipeline from narrative to submission-ready LaTeX/PDF.
05Cross-model collaboration for adversarial review, breaking single-model blind spots.
04

Use Cases

shokunin logoshokunin
↳Persistent coding context across multiple sessions
↳Resume and continue previous development work seamlessly
↳Local AI-assisted development without cloud dependencies
Auto-claude-code-research-in-sleep logoAuto-claude-code-research-in-sleep
↳Explore new research areas and discover novel ideas through literature surveys and brainstorming.
↳Automate the iterative review and refinement of research projects, including running experiments, until submission-ready.
↳Transform research narratives into submission-ready academic papers with a full writing and formatting pipeline.
05

Best For

shokunin logoshokunin
TrendingWorkflow AutomationMemory & Context
Auto-claude-code-research-in-sleep logoAuto-claude-code-research-in-sleep
TrendingMulti-AgentWorkflow Automation
FAQ

FAQ

What is the difference between shokunin and Auto-claude-code-research-in-sleep?
Both shokunin and Auto-claude-code-research-in-sleep are in the Memory & Context category. shokunin has 84 stars, while Auto-claude-code-research-in-sleep has 11.0k stars.
Which is better, shokunin or Auto-claude-code-research-in-sleep?
The best choice depends on your use case. Choose shokunin if Persistent coding context across multiple sessions, and Auto-claude-code-research-in-sleep if Explore new research areas and discover novel ideas through literature surveys and brainstorming..
Is shokunin free or open source?
Yes, shokunin is open source on GitHub (MIT).
Is Auto-claude-code-research-in-sleep free or open source?
Yes, Auto-claude-code-research-in-sleep is open source on GitHub (MIT).
→

Related

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