# iha2/superlite

> A plugin for Claude Code that autonomously plans a project, splits it into parallel tasks routed to cheaper models, tests and reviews the result, optionally with human approval.

- Magnitude: 3.8 out of 10 — Early signal
- Stars: 120 total · +8 stars measured 2026-10-19, 15:19–17:40 UTC, ≈ 13 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · Created: 2026-10-17 · Last push: 2026-10-18
- GitHub: https://github.com/iha2/superlite · Page: https://gitnova.dev/en/r/iha2/superlite

## Useful for

- Build an MVP from a spec with parallel agents and a final review
- Debug a failing test with fix-only agents and escalation after two rounds
- Review a branch and have package reviewers fix their own findings

## Why it’s here

- Star-counter measurements on 2026-10-19 (UTC), 15:19–17:40: 112 → 120 stars (+8). This is the change over that interval.
- Estimated end-of-day forecast: about +13 stars, using observed gains and the previous day.
- The repository is 2 days old and already has 120 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #179.
- About 11 forks a day — people are taking the code.
- Recent forks include notable developers: @millette (310 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: 5
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 21 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 3

## Stars per day, last 3 days (oldest → newest, today is partial)

2026-10-17 … 2026-10-19: 0, 49, 8

## Spotted in now

- Top new repositories this week: #179

## More in this category

1. **google-research/harness2** — 9.8 · Breakout · AI agents · Python · +4,637 stars measured 2026-10-19, 00:05–17:38 UTC, ≈ 6,201 by evening
   A framework for recursive optimization of AI agent harnesses (prompts, tools, memory, skills) without fine-tuning model weights, with JobBench, LAB and WorkBuddy-Bench benchmarks.
   Full card: https://gitnova.dev/en/r/google-research/harness2.md
2. **MadsLorentzen/ai-job-search** — 9.6 · Breakout · AI agents · Python · +3,230 stars measured 2026-10-19, 00:05–17:38 UTC, ≈ 4,266 by evening
   A job application framework built on Claude Code: evaluates postings, tailors CVs, and writes cover letters. Runs locally, focused on the Danish job market.
   Full card: https://gitnova.dev/en/r/MadsLorentzen/ai-job-search.md
3. **anomalyco/opencode** — 8.2 · Breakout · AI agents · TypeScript · +950 stars measured 2026-10-19, 00:05–17:38 UTC, ≈ 1,272 by evening
   Open source AI coding agent with terminal and desktop interfaces. Ships with a build agent (full edit and command access) and a read-only plan agent for code analysis.
   Full card: https://gitnova.dev/en/r/anomalyco/opencode.md
4. **alchaincyf/huashu-motion** — 7.6 · Early signal · AI agents · JavaScript · +596 stars measured 2026-10-19, 00:05–17:37 UTC, ≈ 784 by evening
   A skill for coding agents (Claude Code, Codex) that turns a product description into code-driven animated launch films, composes music, and opens a browser editor for frame-level edits.
   Full card: https://gitnova.dev/en/r/alchaincyf/huashu-motion.md
5. **ruvnet/ruflo** — 7.1 · Breakout · AI agents · TypeScript · +503 stars measured 2026-10-19, 00:05–17:37 UTC, ≈ 665 by evening
   A meta-harness for Claude Code and Codex that adds 100+ agents, swarm coordination, self-learning memory, cross-machine federation, and vector RAG integration. Aimed at developers who want agents to plan, remember, and collaborate.
   Full card: https://gitnova.dev/en/r/ruvnet/ruflo.md

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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 2026-10-19 17:55 UTC, updated every 30 minutes.