# zhaopeizhao41-ops/optiforge > AI-native optical design platform over the Zemax/OpticStudio ZOS-API: drives an agent through a 5-stage SOP from spec to lens, tolerances, STEP model and drawings. MCP server with manufacturability gates and aberration analysis. - Magnitude: 0.0 out of 10 — Quiet - Stars: 1 total · Not enough measurements today - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-09-21 · Last push: 2026-10-09 - GitHub: https://github.com/zhaopeizhao41-ops/optiforge · Page: https://gitnova.dev/en/r/zhaopeizhao41-ops/optiforge ## Useful for - Audit optical spec completeness before starting simulation - Build a tolerance budget and STEP model from the optimized lens - Run a manufacturability audit against Karow and ISO 10110 rules ## Why it’s here - There are not enough fresh counter measurements for today's UTC day. The gain is unknown. - The repository is 28 days old and already has 1 star. - New listing on glama. ## 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: 1 - Issues and pull requests: 4 - Watchers: 0 - Average over the last week: 0 per day - Usual pace: 0 per day ## Stars per day, last 29 days (oldest → newest, today is partial) 2026-09-21 … 2026-10-19: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, None, None, None, None ## Magnitude by day, last 5 days 10-15 0.0, 10-16 0.0, 10-17 0.0, 10-18 0.0, 10-19 0.0 ## Spotted in now - New listing on glama ## More in this category 1. **google-research/harness2** — 9.8 · Breakout · AI agents · Python · +5,124 stars measured 2026-10-19, 00:05–20:43 UTC, ≈ 5,866 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** — 9.3 · Breakout · AI agents · Python · +3,699 stars measured 2026-10-19, 00:05–20:43 UTC, ≈ 4,219 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 · +1,100 stars measured 2026-10-19, 00:05–20:43 UTC, ≈ 1,259 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 · +610 stars measured 2026-10-19, 00:05–20:43 UTC, ≈ 696 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 · +586 stars measured 2026-10-19, 00:05–20:43 UTC, ≈ 668 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 --- 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 20:58 UTC, updated every 30 minutes.