# aa1143/NamiAgent > A step-by-step tutorial on building an AI agent from scratch in Python: from a 100-line loop to MCP, memory and subagents, plus a working local agent with a web UI. - Magnitude: 2.8 out of 10 — Early signal - Stars: 137 total · +3 stars measured 2026-11-02, 08:35–10:55 UTC, ≈ 12 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-30 · Last push: 2026-10-30 - GitHub: https://github.com/aa1143/NamiAgent · Homepage: https://namiai.tech/agent/ · Page: https://gitnova.dev/en/r/aa1143/NamiAgent ## Useful for - Work through lessons 01-11 to understand how an agent works internally - Run the local agent in your own workspace to read and write files - Watch in the web UI how context grows and which tools get called ## Why it’s here - Star-counter measurements on 2026-11-02 (UTC), 08:35–10:55: 134 → 137 stars (+3). This is the change over that interval. - Estimated end-of-day forecast: about +12 stars, using observed gains and the previous day. - The repository is 3 days old and already has 137 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #184. ## 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: 11 - Issues and pull requests: 0 - Watchers: 2 - Average over the last week: 36 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 1 ## Stars per day, last 4 days (oldest → newest, today is partial) 2026-10-30 … 2026-11-02: 43, 63, 26, 3 ## Spotted in now - Top new repositories this week: #184 ## More in this category 1. **deepseek-ai/dsh-superagent-prototype** — 9.5 · Breakout · AI agents · TypeScript · +3,712 stars measured 2026-11-02, 00:07–10:51 UTC, ≈ 7,463 by evening Research prototype of a proactive coding agent for a single GitHub repository, packaged as a bundle for DeepSeek Harness: it listens to GitHub and Feishu, opens work items and replies in the original conversation, for example with a pull… Full card: https://gitnova.dev/en/r/deepseek-ai/dsh-superagent-prototype.md 2. **pingdotgg/t3code** — 9.4 · Breakout · AI agents · TypeScript · +1,661 stars measured 2026-11-02, 00:07–10:51 UTC, ≈ 3,390 by evening T3 Code is an agent harness control surface for agents on your machine, with mobile (iOS, Android), web and Electron desktop apps. It works with your Claude Code, Codex, Cursor, Grok Build, OpenCode and Google Antigravity subscriptions if… Full card: https://gitnova.dev/en/r/pingdotgg/t3code.md 3. **storytold/craft-anything** — 8.9 · Breakout · AI agents · Rust · +1,201 stars measured 2026-11-02, 00:07–10:51 UTC, ≈ 2,327 by evening A pure-Rust reverse-engineering engine with 284 tools that inspects websites, apps and games, then has a coding agent rebuild a similar version and checks the result against the original. Full card: https://gitnova.dev/en/r/storytold/craft-anything.md 4. **lightpanda-io/browser** — 8.3 · Breakout · AI agents · Zig · +642 stars measured 2026-11-02, 00:07–10:51 UTC, ≈ 1,322 by evening Lightpanda is a headless browser written from scratch in Zig, designed for AI agents and automation. It is not a Chromium fork and uses ~16x less memory and runs ~9x faster than headless Chrome. Full card: https://gitnova.dev/en/r/lightpanda-io/browser.md 5. **Donchitos/Claude-Code-Game-Studios** — 8.2 · Breakout · AI agents · Shell · +688 stars measured 2026-11-02, 00:07–10:51 UTC, ≈ 1,460 by evening A Claude Code configuration that turns a single session into a structured game studio: 49 specialized subagents, 74 slash-command skills, hooks, rules and templates mirroring a real studio hierarchy. It adds design reviews, QA passes and… Full card: https://gitnova.dev/en/r/Donchitos/Claude-Code-Game-Studios.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 2026-11-02 11:06 UTC, updated every 30 minutes.