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Stars gained: From May 8, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 14, 2026, each from zero02KMay 8Nov 14, 2026siddsachar/row-botLearningCircuit/local-deep-research
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 26Nov 14, 2026siddsachar/row-botLearningCircuit/local-deep-research

Facts

Fact siddsachar/row-bot

Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messaging channels. Run locally via Ollama or add opt-in cloud models. Your data stays on your machine.

LearningCircuit/local-deep-research

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

Stars 1,6879,582
Net stars, last 30 days +72+364
Largest star day +27 on Oct 25, 2026+578 on May 7, 2026
Milestone reached in the record 1,000 on May 8, 20265,000 on May 5, 2026
Forks 204923
Language PythonPython
License APACHE-2.0MIT
Created Mar 6, 2026Feb 9, 2025
Last push Nov 15, 2026Nov 14, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 2 of 3 checks (1 without data)2 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: local-llm, ollama. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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