# tinyhumansai/openhuman > OpenHuman is a local-first agent harness in Rust with persistent memory, agent orchestration, and visual workflows. It pulls data from connected services into a Markdown memory tree and runs agent fleets on durable graphs. - Magnitude: 2.5 out of 10 — Steady - Stars: 42,406 total · +10 stars measured 2026-10-29, 00:07–10:02 UTC, ≈ 27 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Rust · License: GPL-3.0 · Created: 2026-02-18 · Last push: 2026-10-29 - GitHub: https://github.com/tinyhumansai/openhuman · Homepage: https://tinyhumans.ai/openhuman · Page: https://gitnova.dev/en/r/tinyhumansai/openhuman ## Useful for - Connect Gmail, Notion, and GitHub so the agent gets context without training - Build a trigger-driven workflow with approval on the visual canvas - Orchestrate Claude Code and Codex over encrypted agent-to-agent sessions ## Why it’s here - Star-counter measurements on 2026-10-29 (UTC), 00:07–10:02: 42396 → 42406 stars (+10). This is the change over that interval. - Estimated end-of-day forecast: about +27 stars, using observed gains and the previous day. - About 5 forks a day — people are taking the code. - Recent forks include notable developers: @ekmen43 (503 followers). ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 4,197 - Issues and pull requests: 8,287 - Watchers: 193 - Average over the last week: 33 per day - Usual pace: 64 per day - Stars in the last hour (measured): 3 - Latest release: v0.64.15 (2026-10-09) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: 146, 128, 52, 95, 89, 279, 579, 146, 78, 72, 50, 56, 71, 45, 45, 115, 29, 21, 27, 26, 39, 19, 27, 43, 49, 31, 27, 22, 33, 10 ## Magnitude by day, last 14 days 10-10 2.6, 10-11 2.4, 10-12 2.6, 10-13 2.5, 10-14 2.3, 10-15 2.4, 10-16 3.5, 10-17 2.4, 10-18 2.0, 10-25 2.3, 10-26 2.2, 10-27 2.1, 10-28 2.3, 10-29 2.5 ## More in this category 1. **HKUDS/DeepTutor** — 8.9 · Breakout · AI agents · Python · +961 stars measured 2026-10-29, 00:02–09:57 UTC, ≈ 2,183 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md 2. **pbakaus/impeccable** — 8.5 · Breakout · AI agents · Rust · +1,345 stars measured 2026-10-29, 00:02–09:57 UTC, ≈ 2,959 by evening A set of commands and detector rules for AI coding agents that helps them produce better frontend design instead of generic templates. Installs as a skill into Claude Code, Cursor, Codex and other harnesses. Full card: https://gitnova.dev/en/r/pbakaus/impeccable.md 3. **elayadesign/ai-design-skills** — 8.0 · Breakout · AI agents · +536 stars measured 2026-10-29, 00:02–09:57 UTC, ≈ 1,328 by evening A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases. Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md 4. **anonnerdfrenzy/survival-llm** — 7.6 · Early signal · AI agents · Python · +108 stars measured 2026-10-29, 00:02–09:57 UTC, ≈ 314 by evening A local offline LLM assistant with a library of ~1.5M survival, medical and how-to articles; every answer cites the exact source passage. Full card: https://gitnova.dev/en/r/anonnerdfrenzy/survival-llm.md 5. **unclebob/ub-mode** — 7.6 · Breakout · AI agents · +403 stars measured 2026-10-29, 00:02–09:57 UTC, ≈ 1,043 by evening An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory. Full card: https://gitnova.dev/en/r/unclebob/ub-mode.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-29 10:11 UTC, updated every 30 minutes.